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Le TP, Ventura J, Subotnik KL, Nuechterlein KH. Intrinsic motivation predicts cognitive and functional gains during coordinated specialty care for first-episode schizophrenia. Schizophr Res 2024; 266:249-255. [PMID: 38442522 DOI: 10.1016/j.schres.2024.02.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 01/01/2024] [Accepted: 02/26/2024] [Indexed: 03/07/2024]
Abstract
Coordinated Specialty Care (CSC) and embedded group therapeutic interventions have been effective in improving outcomes for individuals experiencing recent first-episode schizophrenia, including cognitive performance and functioning. Treatment response varies substantially, with some patients experiencing limited or no improvement. Motivation has emerged as a key determinant of treatment engagement and efficacy. However, the impact of intrinsic and extrinsic aspects of motivation has not been directly examined with treatment outcomes in first-episode schizophrenia. This study investigated whether baseline levels of intrinsic and extrinsic motivation predicted cognitive and functional gains over 6 and 12 months in CSC. Forty participants with first-episode schizophrenia completed a 12-month CSC treatment period. Baseline measures of intrinsic and extrinsic motivation were obtained for group therapeutic interventions and work/school, as well as measures of cognition and functioning (role and social) at baseline, 6 months, and 12 months. Results revealed that higher baseline scores of intrinsic motivation for group therapeutic interventions were significantly predictive of greater cognitive gains at 12 months, and a similar tendency was observed at 6 months. Additionally, baseline scores of intrinsic motivation for work/school predicted role gains at 6 months, with a similar tendency observed at 12 months. Extrinsic motivation did not consistently impact treatment outcomes, except for work/school-related extrinsic motivation, which was linked to greater social functioning gains at 12 months. These findings provide insight into the factors influencing treatment outcomes for individuals with first-episode schizophrenia and highlight the importance of intrinsic motivation as a modifiable personal variable that can enhance response to CSC.
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Affiliation(s)
- Thanh P Le
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA; Department of Psychology, University of California, Los Angeles, CA, USA
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2
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Ruiz-Yu B, Le TP, Ventura J, Arevian A, Hellemann GS, Nuechterlein KH. Exercise behaviours and motivation after a first psychotic episode: A digital intervention. Early Interv Psychiatry 2024. [PMID: 38356325 DOI: 10.1111/eip.13518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 12/15/2023] [Accepted: 01/24/2024] [Indexed: 02/16/2024]
Abstract
AIM Research has demonstrated that participation in aerobic exercise can have significant beneficial effects across both physical and mental health domains for individuals who are in the early phase of schizophrenia. Despite these notable benefits of exercise, deficits in motivation and a lack of methods to increase engagement are significant barriers for exercise participation, limiting these potentially positive effects. Fortunately, digital health tools have the potential to improve adherence to an exercise program. The present study examined the role of motivation for exercise and the effects of an automated digital text messaging program on participation in an aerobic exercise program. METHODS A total of 46 first-episode psychosis participants from an ongoing 12-month randomized clinical trial (Enhancing Cognitive Training through Exercise Following a First Schizophrenia Episode (CT&E-RCT)) were included in an analysis to examine the efficacy of motivational text messaging. Personalized motivational text message reminders were sent to participants with the aim of increasing engagement in the exercise program. RESULTS We found that participants with higher levels of intrinsic motivation to participate in a text messaging program and in an exercise intervention completed a higher proportion of individual, at-home exercise sessions. In a between groups analysis, participants who received motivational text messages, compared to those who did not, completed a higher proportion of at-home exercise sessions. CONCLUSION These results indicate the importance of considering a person's level of motivation for exercise and the potential utility of using individualized and interactive mobile text messaging reminders to increase engagement in aerobic exercise in the early phase of psychosis. We emphasize the need for understanding how individualized patient preferences and needs interplay between intrinsic motivation and digital health interventions for young adults.
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Affiliation(s)
- Bernalyn Ruiz-Yu
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, USA
| | - Thanh P Le
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, USA
| | - Armen Arevian
- Chorus Innovations, Inc., Long Beach, California, USA
| | - Gerhard S Hellemann
- Department of Public Health, Biostatistics, University of Alabama, Tuscaloosa, Alabama, USA
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, USA
- Department of Psychology, University of California, Los Angeles, California, USA
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3
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Abplanalp SJ, Braff DL, Light GA, Joshi YB, Nuechterlein KH, Green MF. Clarifying directional dependence among measures of early auditory processing and cognition in schizophrenia: leveraging Gaussian graphical models and Bayesian networks. Psychol Med 2024:1-10. [PMID: 38287656 DOI: 10.1017/s0033291724000023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Abstract
BACKGROUND Research using latent variable models demonstrates that pre-attentive measures of early auditory processing (EAP) and cognition may initiate a cascading effect on daily functioning in schizophrenia. However, such models fail to account for relationships among individual measures of cognition and EAP, thereby limiting their utility. Hence, EAP and cognition may function as complementary and interacting measures of brain function rather than independent stages of information processing. Here, we apply a data-driven approach to identifying directional relationships among neurophysiologic and cognitive variables. METHODS Using data from the Consortium on the Genetics of Schizophrenia 2, we estimated Gaussian Graphical Models and Bayesian networks to examine undirected and directed connections between measures of EAP, including mismatch negativity and P3a, and cognition in 663 outpatients with schizophrenia and 630 control participants. RESULTS Chain structures emerged among EAP and attention/vigilance measures in schizophrenia and control groups. Concerning differences between the groups, object memory was an influential variable in schizophrenia upon which other cognitive domains depended, and working memory was an influential variable in controls. CONCLUSIONS Measures of EAP and attention/vigilance are conditionally independent of other cognitive domains that were used in this study. Findings also revealed additional causal assumptions among measures of cognition that could help guide statistical control and ultimately help identify early-stage targets or surrogate endpoints in schizophrenia.
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Affiliation(s)
- Samuel J Abplanalp
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - David L Braff
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Gregory A Light
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Yash B Joshi
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Michael F Green
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
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Kuo SS, Ventura J, Forsyth JK, Subotnik KL, Turner LR, Nuechterlein KH. Developmental trajectories of premorbid functioning predict cognitive remediation treatment response in first-episode schizophrenia. Psychol Med 2023; 53:6132-6141. [PMID: 36349373 PMCID: PMC10166766 DOI: 10.1017/s0033291722003312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Cognitive development after schizophrenia onset can be shaped by interventions such as cognitive remediation, yet no study to date has investigated whether patterns of early behavioral development may predict later cognitive changes following intervention. We therefore investigated the extent to which premorbid adjustment trajectories predict cognitive remediation gains in schizophrenia. METHODS In a total sample of 215 participants (170 first-episode schizophrenia participants and 45 controls), we classified premorbid functioning trajectories from childhood through late adolescence using the Cannon-Spoor Premorbid Adjustment Scale. For the 62 schizophrenia participants who underwent 6 months of computer-assisted, bottom-up cognitive remediation interventions, we identified MATRICS Consensus Cognitive Battery scores for which participants demonstrated mean changes after intervention, then evaluated whether developmental trajectories predicted these changes. RESULTS Growth mixture models supported three premorbid functioning trajectories: stable-good, deteriorating, and stable-poor adjustment. Schizophrenia participants demonstrated significant cognitive remediation gains in processing speed, verbal learning, and overall cognition. Notably, participants with stable-poor trajectories demonstrated significantly greater improvements in processing speed compared to participants with deteriorating trajectories. CONCLUSIONS This is the first study to our knowledge to characterize the associations between premorbid functioning trajectories and cognitive remediation gains after schizophrenia onset, indicating that 6 months of bottom-up cognitive remediation appears to be sufficient to yield a full standard deviation gain in processing speed for individuals with early, enduring functioning difficulties. Our findings highlight the connection between trajectories of premorbid and postmorbid functioning in schizophrenia and emphasize the utility of considering the lifespan developmental course in personalizing therapeutic interventions.
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Affiliation(s)
- Susan S. Kuo
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, USA
| | | | | | - Luana R. Turner
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, USA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, USA
- Department of Psychology, UCLA, Los Angeles, USA
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Ventura J, Subotnik KL, Han S, Hellemann GS, Green MF, Nuechterlein KH. The relationship between sex and functional outcome in first-episode schizophrenia: the role of premorbid adjustment and insight. Psychol Med 2023; 53:6878-6887. [PMID: 38314778 PMCID: PMC10600815 DOI: 10.1017/s0033291723000442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 01/23/2023] [Accepted: 02/08/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Studies that examined sex differences in first-episode patients consistently show that males compared to females have poor premorbid adjustment, earlier age of onset, worse clinical characteristics, and poorer outcomes. However, little is known about potential mediators that could explain these sex differences. METHODS Our sample consisted of 137 individuals with first episode schizophrenia (males, n = 105; 77%) with a mean age of 22.1(s.d. = 4.1) years and mean education of 12.5(s.d. = 1.7) years. At entry, patients were within 2 years of their first psychotic episode onset. Baseline assessments were conducted for premorbid adjustment, symptoms, cognitive functioning, insight, and at 6-months for role and social functioning. RESULTS Males as compared to females had poorer premorbid adjustment across several key developmental periods (p < 0.01), an earlier age of onset [M = 20.3(3.3) v. 22.8(5.6), p = 0.002], more negative symptoms (p = 0.044), poorer insight (p = 0.031), and poorer baseline and 6-month role (p = 0.002) and social functioning (p = 0.034). Several of these variables in which males showed impairment were significant predictors of 6-month role and social functioning. Premorbid adjustment and insight mediated the relationship between sex and role and social functioning at 6-months, but not negative symptoms. DISCUSSION Males compared to females were at lower levels across several key premorbid and clinical domains which are strongly associated with functional outcome supporting the hypothesis that males might have a more disabling form of schizophrenia. The relationship between sex with role and social functioning was mediated through premorbid adjustment and insight suggesting pathways for understanding why females might have a less disabling form of schizophrenia.
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Affiliation(s)
- Joseph Ventura
- UCLA Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, University of California, Los Angeles, California, USA
| | - Kenneth L. Subotnik
- UCLA Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, University of California, Los Angeles, California, USA
| | - Sam Han
- Graduate School of Education and Psychology, Pepperdine University, Malibu, California, USA
| | - Gerhard S. Hellemann
- School of Public Health, Biostatistics Department, University of Alabama, Tuscaloosa, Alabama, USA
| | - Michael F. Green
- UCLA Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, University of California, Los Angeles, California, USA
- VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | - Keith H. Nuechterlein
- UCLA Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, University of California, Los Angeles, California, USA
- UCLA Department of Psychology, University of California, Los Angeles, California, USA
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Wang C, Tishler TA, Nuechterlein KH, Ellingson BM. Cortical thickness, gray-white matter contrast, and intracortical myelin in first-episode schizophrenia patients treated with long-acting paliperidone palmitate versus oral antipsychotics. Psychiatry Res 2023; 326:115364. [PMID: 37494877 DOI: 10.1016/j.psychres.2023.115364] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 07/19/2023] [Accepted: 07/22/2023] [Indexed: 07/28/2023]
Abstract
This longitudinal study evaluated the cortical thickness, gray-to-white matter contrast (GWC), and frontal lobe intracortical myelin (ICM) volume in first-episode schizophrenia (FES) patients treated with oral antipsychotics (OAP) versus a long-acting injectable antipsychotic, paliperidone palmitate (PP). 2D proton density and inversion recovery images, and 3D T1-weighted MPRAGE images were acquired at 3T from 68 FES patients in a randomized clinical trial with PP vs OAP. At baseline, no differences in GWC and ICM were observed between FES patients and HCs, but the thickness of the left precuneus, the right transverse temporal gyrus, and the bilateral superior temporal gyri was found to be thinner in FES patients relative to HCs. Following 9 months of antipsychotics, OAP treatment, compared to PP treatment, resulted in a more widespread cortical thickness reduction including the right lateral occipital and orbitofrontal gyri. No significant ICM and GWC changes were observed in the PP group, whereas OAP treatment led to a significant ICM volume decrease and GWC increase. A negative correlation was found between ICM changes and GWC changes within multiple frontal regions after 9 months of OAP treatment. These preliminary findings suggest that PP treatment might aid preservation of brain morphology.
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Affiliation(s)
- C Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
| | - T A Tishler
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - K H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA; Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - B M Ellingson
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA; Neuroscience Interdisciplinary Graduate Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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Nuechterlein KH, McEwen SC, Ventura J, Subotnik KL, Turner LR, Boucher M, Casaus LR, Distler MG, Hayata JN. Aerobic exercise enhances cognitive training effects in first-episode schizophrenia: randomized clinical trial demonstrates cognitive and functional gains. Psychol Med 2023; 53:4751-4761. [PMID: 36047035 PMCID: PMC10388302 DOI: 10.1017/s0033291722001696] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 04/22/2022] [Accepted: 05/20/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Cognitive training (CT) and aerobic exercise both show promising moderate impact on cognition and everyday functioning in schizophrenia. Aerobic exercise is hypothesized to increase brain-derived neurotrophic factor (BDNF) and thereby synaptic plasticity, leading to increased learning capacity. Systematic CT should take advantage of increased learning capacity and be more effective when combined with aerobic exercise. METHODS We examined the impact of a 6-month program of cognitive training & exercise (CT&E) compared to cognitive training alone (CT) in 47 first-episode schizophrenia outpatients. All participants were provided the same Posit Science computerized CT, 4 h/week, using BrainHQ and SocialVille programs. The CT&E group also participated in total body circuit training exercises to enhance aerobic conditioning. Clinic and home-based exercise were combined for a target of 150 min per week. RESULTS The MATRICS Consensus Cognitive Battery Overall Composite improved significantly more with CT&E than with CT alone (p = 0.04), particularly in the first 3 months (6.5 v. 2.2 T-score points, p < 0.02). Work/school functioning improved substantially more with CT&E than with CT alone by 6 months (p < 0.001). BDNF gain tended to predict the amount of cognitive gain but did not reach significance. The cognitive gain by 3 months predicted the amount of work/school functioning improvement at 6 months. The amount of exercise completed was strongly associated with the degree of cognitive and work/school functioning improvement. CONCLUSIONS Aerobic exercise significantly enhances the impact of CT on cognition and functional outcome in first-episode schizophrenia, apparently driven by the amount of exercise completed.
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Affiliation(s)
- Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
- Department of Psychology, University of California, Los Angeles, USA
| | - Sarah C. McEwen
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Luana R. Turner
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Michael Boucher
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Laurie R. Casaus
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Margaret G. Distler
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Jacqueline N. Hayata
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
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Joshi YB, Molina JL, Braff DL, Green MF, Gur RC, Gur RE, Nuechterlein KH, Stone WS, Greenwood TA, Lazzeroni LC, Radant AD, Silverman JM, Sprock J, Sugar CA, Tsuang DW, Tsuang MT, Turetsky BI, Swerdlow NR, Light GA. Sensitivity of Schizophrenia Endophenotype Biomarkers to Anticholinergic Medication Burden. Am J Psychiatry 2023; 180:519-523. [PMID: 37038743 DOI: 10.1176/appi.ajp.20220649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Affiliation(s)
- Yash B Joshi
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Juan L Molina
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - David L Braff
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Michael F Green
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Ruben C Gur
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Raquel E Gur
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Keith H Nuechterlein
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - William S Stone
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Tiffany A Greenwood
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Laura C Lazzeroni
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Allen D Radant
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Jeremy M Silverman
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Joyce Sprock
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Catherine A Sugar
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Debby W Tsuang
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Ming T Tsuang
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Bruce I Turetsky
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Neal R Swerdlow
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
| | - Gregory A Light
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System (Joshi, Molina, Braff, Sprock, Swerdlow, Light); Department of Psychiatry, University of California, San Diego (Joshi, Molina, Braff, Greenwood, Sprock, M. Tsuang, Swerdlow, Light); Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles (Green, Neuchterlein); Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles (Green, Sugar); Department of Psychiatry, University of Pennsylvania, Philadelphia (Ruben C. Gur, Raquel E. Gur, Turetsky); Department of Psychiatry, Harvard Medical School, Boston (Stone); Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston (Stone); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford (Lazzeroni); Department of Biomedical Data Science, Stanford University, Stanford (Lazzeroni); Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle (Radant, D. Tsuang); Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle (D. Tsuang); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Silverman); Research & Development, James J. Peters VA Medical Center, New York (Silverman); Department of Biostatistics, UCLA School of Public Health, Los Angeles (Sugar)
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Wang C, Tishler TA, Oughourlian T, Nuechterlein KH, de la Fuente-Sandoval C, Ellingson BM. Prospective, randomized, multicenter clinical trial evaluating longitudinal changes in brain function and microstructure in first-episode schizophrenia patients treated with long-acting injectable paliperidone palmitate versus oral antipsychotics. Schizophr Res 2023; 255:222-232. [PMID: 37019033 DOI: 10.1016/j.schres.2023.03.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 02/23/2023] [Accepted: 03/18/2023] [Indexed: 04/07/2023]
Abstract
Widespread anatomical alterations and abnormal functional connectivity have shown strong association with symptom severity in first-episode schizophrenia (FES) patients. Second-generation antipsychotic treatment might slow disease progression and possibly modify the cerebral plasticity in FES patients. However, whether a long-acting injectable antipsychotic (paliperidone palmitate [PP]), available in monthly and every-3-months formulations, is more effective than oral antipsychotics (OAP) in improving cerebral organization has been unclear. Therefore, in the current longitudinal study, we evaluated the differences in functional and microstructural changes of 68 FES patients in a randomized clinical trial of PP vs OAP. When compared to OAP treatment, PP treatment was more effective in decreasing abnormally high fronto-temporal and thalamo-temporal connectivity, as well as increasing fronto-sensorimotor and thalamo-insular connectivity. Consistent with previous studies, multiple white matter pathways showed larger changes in fractional anisotropy (FA) and mean diffusivity (MD) in response to PP compared with OAP treatment. These findings suggest that PP treatment might reduce regional abnormalities and improve cerebral connectivity networks compared with OAP treatment, and identified changes that may serve as reliable imaging biomarkers associated with medication treatment efficacy.
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Affiliation(s)
- Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
| | - Todd A Tishler
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Talia Oughourlian
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico; Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Benjamin M Ellingson
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Neuroscience Interdisciplinary Graduate Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
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Tishler TA, Ellingson BM, Salvadore G, Baker P, Turkoz I, Subotnik KL, de la Fuente-Sandoval C, Nuechterlein KH, Alphs L. Effect of treatment with paliperidone palmitate versus oral antipsychotics on frontal lobe intracortical myelin volume in participants with recent-onset schizophrenia: Magnetic resonance imaging results from the DREaM study. Schizophr Res 2023; 255:195-202. [PMID: 37004331 DOI: 10.1016/j.schres.2023.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 02/10/2023] [Accepted: 03/11/2023] [Indexed: 04/04/2023]
Abstract
OBJECTIVE We investigated changes in brain intracortical myelin (ICM) volume in the frontal lobe after 9 months of treatment with paliperidone palmitate (PP) compared with 9 months of treatment with oral antipsychotics (OAP) in participants with recent-onset schizophrenia or schizophreniform disorder from the Disease Recovery Evaluation and Modification (DREaM) study, a randomized, open-label, delayed-start trial. METHODS DREaM included 3 phases: Part I, a 2-month oral run-in; Part II, a 9-month disease progression phase (PP or OAP); and Part III, 9 months of additional treatment (participants receiving PP continued PP [PP/PP] and participants receiving OAP were rerandomized to receive either PP [OAP/PP] or OAP [OAP/OAP]). In Part II, magnetic resonance imaging (MRI) and functional and symptomatic assessment was performed at baseline, day 92, and day 260. ICM volume as a fraction of the entire brain volume was quantified by subtraction of a proton density image from an inversion recovery image. Within-treatment-group changes from baseline were assessed by paired t-tests. Analysis of covariance was used to analyze ICM volume changes between treatment groups, adjusting for country. RESULTS The MRI analysis sample size included 71 DREaM participants (PP, 23; OAP, 48) and 64 healthy controls. At baseline, mean adjusted ICM fraction values did not differ between groups (PP, 0.057; OAP, 0.058, p = 0.79). By day 92, the adjusted ICM fraction in the OAP group had decreased significantly (change from baseline, -0.002; p = 0.001), whereas the adjusted ICM fraction remained unchanged from baseline in the PP group (0.000; p = 0.80). At day 260, the change from baseline in adjusted ICM fraction was -0.004 (p = 0.004) in the OAP group and -0.001 (p = 0.728) in the PP group. The difference between treatment groups did not reach statistical significance (p = 0.147). CONCLUSIONS In participants with recent-onset schizophrenia or schizophreniform disorder, frontal ICM volume was preserved at baseline levels in those treated with PP over 9 months. However, a decrease of frontal ICM volume was observed among participants treated with OAPs. TRIAL REGISTRATION clinicaltrials.gov identifier NCT02431702.
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Affiliation(s)
- T A Tishler
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA.
| | - B M Ellingson
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA; UCLA Center for Computer Vision and Imaging Biomarkers, Departments of Radiological Sciences and Psychiatry, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, USA.
| | - G Salvadore
- Janssen Research and Development, LLC, Titusville, NJ, USA.
| | - P Baker
- Janssen Scientific Affairs, LLC, Titusville, NJ, USA.
| | - I Turkoz
- Janssen Research and Development, LLC, Titusville, NJ, USA.
| | - K L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA.
| | - C de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico; Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
| | - K H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA; Department of Psychology, University of California at Los Angeles, Los Angeles, CA, USA.
| | - L Alphs
- Janssen Scientific Affairs, LLC, Titusville, NJ, USA.
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Subotnik KL, McEwen SC, Ventura J, Turner LR, Sturdevant Y, Niess TL, Casaus LR, Distler MG, Zito MF, Hellemann GS, Nguyen CD, Nuechterlein KH. Exercise Predicts a Good Night's Sleep: Preliminary Findings from a UCLA Study of First-Episode Schizophrenia. Behav Sci (Basel) 2023; 13:88. [PMID: 36829317 PMCID: PMC9952381 DOI: 10.3390/bs13020088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/18/2022] [Accepted: 01/13/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Physical exercise can improve sleep quality in the general population. Understanding the negative impact of poor sleep quality on multiple domains of functioning among persons with schizophrenia is a new frontier of exploration. It is also imperative to investigate non-pharmacologic methods to improve sleep quality as these approaches may not carry the side effect burdens associated with medication. OBJECTIVE We examined the relationship between regular physical exercise and sleep quality among participants in an intervention consisting of both cognitive training and exercise. METHODS Participants (N = 48) were schizophrenia patients who had a first psychotic episode within two years of study entry. Participants received 4 h/week of internet-based cognitive training and an aerobic exercise program over a 6-month period. Sleep was assessed with the Pittsburgh Sleep Quality Index at baseline and six months later. RESULTS During the 3 months prior to the 6-month follow-up sleep assessment, participants completed an average of 12.6 group exercise sessions and an average of 12.9 individual at-home exercise sessions. A significant relationship between the number of exercise sessions and global sleep quality was seen at month six, r = -0.44, df = 39, p < 0.01. Group exercise frequency was also associated with improvement in global sleep quality over the six-month intervention, t(34) = -2.84, p = 0.008. CONCLUSION We demonstrated that a group of young adults with schizophrenia can be engaged in a regular exercise program, even during the tumultuous early course of the disorder. The number of exercise sessions in which they participated was associated with better sleep quality at six months and pre-postintervention improvement in sleep quality. KEY MESSAGE Improved sleep quality appears to be a benefit of regular exercise among individuals with serious mental illness.
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Affiliation(s)
- Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Sarah C. McEwen
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
- atai Life Sciences, San Diego, CA 92130, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Luana Rene Turner
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Yurika Sturdevant
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Trudy L. Niess
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Laurie R. Casaus
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Margaret G. Distler
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Michael F. Zito
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Gerhard S. Hellemann
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Clara D. Nguyen
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
- Department of Psychology, UCLA, Los Angeles, CA 90095, USA
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McEwen SC, Jarrahi B, Ventura J, Subotnik KL, Nguyen J, Woo SM, Nuechterlein KH. A combined exercise and cognitive training intervention induces fronto-cingulate cortical plasticity in first-episode psychosis patients. Schizophr Res 2023; 251:12-21. [PMID: 36527955 DOI: 10.1016/j.schres.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 11/02/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Schizophrenia (SZ) is characterized by neurobiological and associated cognitive and functional deficits, including pronounced cortical thinning, that lead to acute and long-term functional impairment. Research with older adults supports the role of non-pharmacological interventions, such as exercise (E) and cognitive training (CT), for cognitive impairments. This literature influenced the development of combined CT&E treatments for individuals with SZ. However, the impact of longer combined treatment duration (6 months) on neuroanatomy has yet to be explored in patients in the early course of the illness. The impact of adding exercise to cognitive training for key brain regions associated with higher-order cognition was examined here using magnetic resonance imaging (MRI) in first-episode psychosis (FEP) patients. METHODS UCLA Aftercare Research Program patients with a recent first episode of schizophrenia were randomly assigned to either combined cognitive and exercise training (CT&E) (N = 20) or cognitive training alone (CT) (N = 17) intervention. Cortical thickness was measured longitudinally and analyzed for two regions of interest using FreeSurfer. RESULTS Compared to patients in the CT group, those in the CT&E group demonstrated an increase in cortical thickness within the left anterior cingulate cortex over the six-month treatment period (ACC: F(1, 35) = 4.666, P < .04). Directional tendencies were similar in the left dorsolateral prefrontal cortex (DLPFC: F(1,35) = 4.132, P < .05). CONCLUSIONS These findings suggest that exercise and cognitive training may synergistically increase fronto-cingulate cortical thickness to mitigate progressive neural atrophy in the early course of SZ. This combined intervention appears to be a valuable adjunct to standard pharmacologic treatment in FEP patients.
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Affiliation(s)
- S C McEwen
- Pacific Brain Health Center, Pacific Neuroscience Institute, Santa Monica, CA, 90404, United States of America; atai Life Sciences, San Diego, CA, 92130, United States of America; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - B Jarrahi
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America; Department of Anesthesia, Stanford University School of Medicine, Palo Alto, CA 94304, United States of America
| | - J Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - K L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - J Nguyen
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - S M Woo
- Graduate School of Education & Psychology, Pepperdine University, Los Angeles, CA 90045, United States of America
| | - K H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America; Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095, United States of America.
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Le TP, Ventura J, Ruiz-Yu B, McEwen SC, Subotnik KL, Nuechterlein KH. Treatment engagement in first-episode schizophrenia: Associations between intrinsic motivation and attendance during cognitive training and an aerobic exercise program. Schizophr Res 2023; 251:59-65. [PMID: 36577235 PMCID: PMC10163954 DOI: 10.1016/j.schres.2022.12.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 09/21/2022] [Accepted: 12/16/2022] [Indexed: 12/28/2022]
Abstract
Systematic cognitive training and aerobic exercise programs have emerged as promising interventions to improve cognitive deficits in first-episode schizophrenia, with successful outcomes closely linked with greater treatment engagement (e.g., higher attendance and homework completion rates). Unfortunately, treatment disengagement from these services remains a persistent issue. Intrinsic motivation, or the willingness to exert effort because a task is inherently interesting or meaningful, has emerged as a promising malleable personal factor to enhance treatment engagement. This study investigated whether early task-specific intrinsic motivation and its domains (e.g., interest, perceived competence, and value) predicted treatment engagement within the context of intensive cognitive training and aerobic exercise interventions over a 6-month period. Thirty-nine participants with first-episode schizophrenia were administered baseline measures of task-specific intrinsic motivation inventories, one for cognitive training and one for exercise, and completed a 6-month randomized clinical trial comparing a neuroplasticity-based cognitive training plus aerobic exercise program against the same cognitive training alone. Results indicated that higher baseline scores of intrinsic motivation for cognitive training, specifically early perceptions of task interest and value, were predictive of greater cognitive training and exercise group attendance. Scores for exercise-specific intrinsic motivation were generally unrelated to indices of exercise participation, with the exception that the gain over time in perceived choice for exercise was linked with greater exercise homework completion and a similar directional tendency for greater in-clinic exercise attendance. This study provides support for monitoring and enhancing motivation early during service delivery to maximize engagement and the likelihood of successful treatment outcomes.
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Affiliation(s)
- Thanh P Le
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Bernalyn Ruiz-Yu
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | | | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA; Department of Psychology, University of California, Los Angeles, CA, USA
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Nuechterlein KH, Green MF, Kern RS. The MATRICS Consensus Cognitive Battery: An Update. Curr Top Behav Neurosci 2022; 63:1-18. [PMID: 36306054 DOI: 10.1007/7854_2022_395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Through a series of NIMH-supported consensus-building meetings of experts and empirical comparisons of candidate tests, the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative developed a battery of standardized cognitive measures to allow reliable evaluation of results from clinical trials of promising interventions for core cognitive deficits in this disorder. Ten tests in seven cognitive domains were selected for the MATRICS Consensus Cognitive Battery (MCCB). The MCCB has now been translated into 39 languages/dialects and has been employed in more than 145 clinical trials. It has become the standard cognitive change measure for studies of both pharmacological and training-based interventions seeking to improve cognitive deficits in schizophrenia. We summarize its applications and its relationship to the subsequent development of the NIMH RDoC Matrix.
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Affiliation(s)
- Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA. .,Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA.,VISN 22 Mental Illness Research, Education, and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Robert S Kern
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA.,VISN 22 Mental Illness Research, Education, and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
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Abplanalp SJ, Braff DL, Light GA, Nuechterlein KH, Green MF. Understanding Connections and Boundaries Between Positive Symptoms, Negative Symptoms, and Role Functioning Among Individuals With Schizophrenia: A Network Psychometric Approach. JAMA Psychiatry 2022; 79:1014-1022. [PMID: 35976655 PMCID: PMC9386606 DOI: 10.1001/jamapsychiatry.2022.2386] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 06/28/2022] [Indexed: 11/14/2022]
Abstract
Importance Improved understanding of the boundaries and connections between positive symptoms, negative symptoms, and role functioning in schizophrenia is critical, given limited empirical support for clear distinctions among these clinical areas. This study's use of network psychometrics to investigate differential associations and structural overlap between positive symptoms, negative symptoms, and functional domains in schizophrenia may contribute to such understanding. Objective To apply network analysis and community detection methods to examine the interplay and structure of positive symptoms, negative symptoms, and functional domains in individuals with schizophrenia. Design, Setting, and Participants Cross-sectional study in 5 geographically distributed research centers in the US as part of the Consortium on the Genetics of Schizophrenia-2 from July 1, 2010, through January 31, 2014. Data were analyzed from November 2021 to June 2022. Clinically stable outpatients with schizophrenia or schizoaffective disorder were included. Participants were excluded if they had evidence of neurologic or additional Axis I psychiatric disorders. Other exclusion criteria included head injury, stroke, and substance abuse. Of 1415 patients approached, 979 were included in the final analysis. Main Outcomes and Measures Measures included the Scale for the Assessment of Positive Symptoms, the Scale for the Assessment of Negative Symptoms, and the Role Functioning Scale. Main outcomes were expected influence, which assesses the relative importance of items to the network and is defined as the association of an item with all others, and community detection and stability, defined as the presence of statistical clusters and their replicability. Results Participants with complete data included 979 outpatients (mean [SD] age, 46 [11] years; 663 male [67.7%]; 390 participants [40%] self-identified as African American, 30 [3%] as Asian, 7 [0.7%] as Native American, 8 [0.8%] as Pacific Islander, 412 [42.1%] as White, 125 [12.8%] as more than 1 race, and 5 [0.5%] did not identify). Anhedonia had the highest expected influence in the most comprehensive network analysis, showing connections with negative and positive symptoms and functional domains. Positive symptoms had the lowest expected influence. Community detection analyses indicated the presence of 3 clusters corresponding to positive symptoms; negative symptoms and work functioning; functional domains, including independent living, family relationships, and social network; and avolition, anhedonia, and work functioning. Hallucinations and delusions replicated in 1000 bootstrapped samples (100%), while bizarre behavior and thought disorder replicated in 390 (39%) and 570 (57%), respectively. In contrast, negative symptoms and work functioning replicated between 730 (73%) and 770 (77%) samples, respectively, and the remaining functional domains in 940 samples (94%). Conclusions and Relevance The high centrality of anhedonia and its connections with multiple functional domains suggest that it could be a treatment target for global functioning. Interventions for work functioning may benefit from a specialized approach that focuses primarily on avolition.
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Affiliation(s)
- Samuel J. Abplanalp
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - David L. Braff
- Desert Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, San Diego, California
- Department of Psychiatry, University of California San Diego
| | - Gregory A. Light
- Desert Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, San Diego, California
- Department of Psychiatry, University of California San Diego
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Michael F. Green
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
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Alphs L, Baker P, Brown B, Fu DJ, Turkoz I, Nuechterlein KH. Evaluation of major treatment failure in patients with recent-onset schizophrenia or schizophreniform disorder: A post hoc analysis from the Disease Recovery Evaluation and Modification (DREaM) study. Schizophr Res 2022; 248:58-63. [PMID: 35939921 DOI: 10.1016/j.schres.2022.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 06/24/2022] [Accepted: 07/24/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE A post hoc analysis of the Disease Recovery Evaluation and Modification (DREaM) study was conducted to evaluate time to first major treatment failure (ie, arrest/incarceration or psychiatric hospitalization) in participants with recent-onset schizophrenia or schizophreniform disorder treated with paliperidone palmitate (PP) versus oral antipsychotics (OAPs). METHODS DREaM was an open-label, delayed-start, randomized, multipart trial consisting of: Part I, 2-month oral run-in; Part II, 9-month disease progression phase (PP or OAP); and Part III, 9 months of additional treatment (PP/PP; OAP re-randomized: OAP/OAP or OAP/PP). PP/PP and OAP/OAP comprised the 18-month extended disease progression (EDP) analysis. RESULTS In Part II (PP, n = 78; OAP, n = 157), similar proportions of participants experienced a major treatment failure across groups (PP: 12.8 %; OAP: 13.4 %); no difference in time to first major treatment failure was identified (P = 0.918). Significant differences favoring PP emerged after 9 months; in Part III, no participants in the PP/PP group, 3.5 % of participants in the OAP/PP group, and 15.9 % in the OAP/OAP group experienced a major treatment failure (P = 0.002). In the EDP analysis, 10.2 % (PP/PP) and 25.4 % (OAP/OAP) of participants experienced a major treatment failure (P = 0.045; number needed to treat = 6). Safety results were similar between groups and consistent with the known safety profile of PP in adults with schizophrenia. CONCLUSIONS Initiation of PP during the early stages of schizophrenia spectrum disorders significantly delayed time to hospitalization and arrest/incarceration, outcomes with important personal and economic consequences, compared with OAP during this 18-month study. CLINICALTRIALS gov identifier: NCT02431702.
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Affiliation(s)
- Larry Alphs
- Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Rd, Titusville, NJ 08560, USA
| | - Pamela Baker
- Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Rd, Titusville, NJ 08560, USA.
| | - Brianne Brown
- Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Rd, Titusville, NJ 08560, USA.
| | - Dong-Jing Fu
- Janssen Research and Development, LLC, 1125 Trenton-Harbourton Rd, Titusville, NJ 08560, USA.
| | - Ibrahim Turkoz
- Janssen Research and Development, LLC, 1125 Trenton-Harbourton Rd, Titusville, NJ 08560, USA.
| | - Keith H Nuechterlein
- Departments of Psychiatry and Psychology, University of California at Los Angeles, 300 Medical Plaza, Room 2240, Los Angeles, CA 90095, USA.
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Abstract
OBJECTIVE Memory deficits in individuals with schizophrenia are well-established, but less is known about how schizophrenia affects metacognitive processes such as metamemory. We investigated metamemory ability using the value-directed remembering task, which assesses the degree to which participants use value cues to guide their learning of a list of items (i.e., their memory selectivity). METHOD Participants were patients undergoing treatment following a recent first episode of schizophrenia (n = 20) and demographically comparable healthy controls (n = 18). Participants viewed six lists of 24 words where each word was paired with either a low value (1-3 points) or a high value (10-12 points), and they were instructed to maximize their score on free recall tests given after each list. After the final free recall test, participants completed a recognition test where they gave remember/know judgments. RESULTS On tests of free recall, patients showed reduced memory selectivity relative to healthy controls. On the recognition test, patients failed to show an effect of value on recognition of nonrecalled words, in contrast to healthy controls, who showed a significant value effect that was characterized by greater "remember" judgments. Patients initially overestimated their memory capacity but were able to adjust their estimates to be more accurate based on task experience. Patients' self-reports of memory selectivity were unrelated to their actual memory selectivity. CONCLUSIONS Patients with first-episode schizophrenia had substantial impairments on the value-directed remembering task, but areas of preserved metamemory ability were also observed. These findings have potential implications for cognitive training interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
| | - Keith H. Nuechterlein
- Department of Psychology, University of California, Los Angeles
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Alan D. Castel
- Department of Psychology, University of California, Los Angeles
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Nuechterlein KH, Ventura J, Subotnik KL, Gretchen-Doorly D, Turner LR, Casaus LR, Luo J, Boucher ML, Hayata JN, Bell MD, Medalia A. A randomized controlled trial of cognitive remediation and long-acting injectable risperidone after a first episode of schizophrenia: improving cognition and work/school functioning. Psychol Med 2022; 52:1517-1526. [PMID: 32981534 DOI: 10.1017/s0033291720003335] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Cognitive deficits at the first episode of schizophrenia are predictive of functional outcome. Interventions that improve cognitive functioning early in schizophrenia are critical if we hope to prevent or limit long-term disability in this disorder. METHODS We completed a 12-month randomized controlled trial of cognitive remediation and of long-acting injectable (LAI) risperidone with 60 patients with a recent first episode of schizophrenia. Cognitive remediation involved programs focused on basic cognitive processes as well as more complex, life-like situations. Healthy behavior training of equal treatment time was the comparison group for cognitive remediation, while oral risperidone was the comparator for LAI risperidone in a 2 × 2 design. All patients were provided supported employment/education to encourage return to work or school. RESULTS Both antipsychotic medication adherence and cognitive remediation contributed to cognitive improvement. Cognitive remediation was superior to healthy behavior training in the LAI medication condition but not the oral medication condition. Cognitive remediation was also superior when medication adherence and protocol completion were covaried. Both LAI antipsychotic medication and cognitive remediation led to significantly greater improvement in work/school functioning. Effect sizes were larger than in most prior studies of first-episode patients. In addition, cognitive improvement was significantly correlated with work/school functional improvement. CONCLUSIONS These results indicate that consistent antipsychotic medication adherence and cognitive remediation can significantly improve core cognitive deficits in the initial period of schizophrenia. When combined with supported employment/education, cognitive remediation and LAI antipsychotic medication show separate significant impact on improving work/school functioning.
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Affiliation(s)
- Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
- Department of Psychology, University of California, Los Angeles, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Denise Gretchen-Doorly
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Luana R Turner
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Laurie R Casaus
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - John Luo
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Michael L Boucher
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Jacqueline N Hayata
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Morris D Bell
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Alice Medalia
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
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Alphs L, Brown B, Turkoz I, Baker P, Fu DJ, Nuechterlein KH. The Disease Recovery Evaluation and Modification (DREaM) study: Effectiveness of paliperidone palmitate versus oral antipsychotics in patients with recent-onset schizophrenia or schizophreniform disorder. Schizophr Res 2022; 243:86-97. [PMID: 35247794 DOI: 10.1016/j.schres.2022.02.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 01/28/2022] [Accepted: 02/13/2022] [Indexed: 11/27/2022]
Abstract
We report primary results of the Disease Recovery Evaluation and Modification (DREaM) study, a randomized, open-label, delayed-start trial designed to compare the effectiveness of paliperidone palmitate (PP) versus oral antipsychotics (OAP) in delaying time to first treatment failure (TtFTF) in participants with recent-onset schizophrenia or schizophreniform disorder. DREaM included: Part I, 2-month oral run-in; Part II, 9-month disease progression phase (PP or OAP); Part III, 9 months of additional treatment (PP/PP; OAP rerandomized: OAP/OAP or OAP/PP). PP/PP and OAP/OAP comprised the 18-month extended disease progression (EDP) analysis. A total of 235 participants were randomized to PP (n = 78) or OAP (n = 157) in Part II. No statistically significant differences in TF between treatment groups were identified during Part II (PP 29.5%, OAP 24.8%; P = 0.377), Part III (PP/PP 14.3%, OAP/PP 15.8%, OAP/OAP 28.6%; P = 0.067) or the EDP analysis (PP/PP 28.6%, OAP/OAP 44.4%; NNT = 6; P = 0.080). Using a modified definition of TF excluding treatment supplementation with another antipsychotic, a common approach to managing dose adjustments, significant differences were observed between treatment groups in Part III (PP/PP 4.1%, OAP/PP 14.0%, OAP/OAP 27.0%; P = 0.002) and EDP (PP/PP 14.3%, OAP/OAP 42.9%; P = 0.001). Safety results were consistent with the known safety profile of PP. Although significant treatment differences were not observed during the first 9 months of DREaM, numerical differences favoring PP emerged in the last 9 months and significant differences were observed when TF criteria were limited to their most impactful components. These results highlight the potential benefit of initiating PP early in the course of schizophrenia and provide valuable insights for future clinical trials in recent-onset schizophrenia or schizophreniform disorder. Clinicaltrials.gov identifier: NCT02431702.
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Affiliation(s)
- Larry Alphs
- Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560, USA
| | - Brianne Brown
- Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560, USA.
| | - Ibrahim Turkoz
- Janssen Research and Development, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560, USA.
| | - Pamela Baker
- Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560, USA.
| | - Dong-Jing Fu
- Janssen Research and Development, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560, USA.
| | - Keith H Nuechterlein
- Departments of Psychiatry and Psychology, University of California at Los Angeles, 150 Medical Plaza Driveway, Los Angeles, CA 90095, USA.
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Trubetskoy V, Pardiñas AF, Qi T, Panagiotaropoulou G, Awasthi S, Bigdeli TB, Bryois J, Chen CY, Dennison CA, Hall LS, Lam M, Watanabe K, Frei O, Ge T, Harwood JC, Koopmans F, Magnusson S, Richards AL, Sidorenko J, Wu Y, Zeng J, Grove J, Kim M, Li Z, Voloudakis G, Zhang W, Adams M, Agartz I, Atkinson EG, Agerbo E, Al Eissa M, Albus M, Alexander M, Alizadeh BZ, Alptekin K, Als TD, Amin F, Arolt V, Arrojo M, Athanasiu L, Azevedo MH, Bacanu SA, Bass NJ, Begemann M, Belliveau RA, Bene J, Benyamin B, Bergen SE, Blasi G, Bobes J, Bonassi S, Braun A, Bressan RA, Bromet EJ, Bruggeman R, Buckley PF, Buckner RL, Bybjerg-Grauholm J, Cahn W, Cairns MJ, Calkins ME, Carr VJ, Castle D, Catts SV, Chambert KD, Chan RCK, Chaumette B, Cheng W, Cheung EFC, Chong SA, Cohen D, Consoli A, Cordeiro Q, Costas J, Curtis C, Davidson M, Davis KL, de Haan L, Degenhardt F, DeLisi LE, Demontis D, Dickerson F, Dikeos D, Dinan T, Djurovic S, Duan J, Ducci G, Dudbridge F, Eriksson JG, Fañanás L, Faraone SV, Fiorentino A, Forstner A, Frank J, Freimer NB, Fromer M, Frustaci A, Gadelha A, Genovese G, Gershon ES, Giannitelli M, Giegling I, Giusti-Rodríguez P, Godard S, Goldstein JI, González Peñas J, González-Pinto A, Gopal S, Gratten J, Green MF, Greenwood TA, Guillin O, Gülöksüz S, Gur RE, Gur RC, Gutiérrez B, Hahn E, Hakonarson H, Haroutunian V, Hartmann AM, Harvey C, Hayward C, Henskens FA, Herms S, Hoffmann P, Howrigan DP, Ikeda M, Iyegbe C, Joa I, Julià A, Kähler AK, Kam-Thong T, Kamatani Y, Karachanak-Yankova S, Kebir O, Keller MC, Kelly BJ, Khrunin A, Kim SW, Klovins J, Kondratiev N, Konte B, Kraft J, Kubo M, Kučinskas V, Kučinskiene ZA, Kusumawardhani A, Kuzelova-Ptackova H, Landi S, Lazzeroni LC, Lee PH, Legge SE, Lehrer DS, Lencer R, Lerer B, Li M, Lieberman J, Light GA, Limborska S, Liu CM, Lönnqvist J, Loughland CM, Lubinski J, Luykx JJ, Lynham A, Macek M, Mackinnon A, Magnusson PKE, Maher BS, Maier W, Malaspina D, Mallet J, Marder SR, Marsal S, Martin AR, Martorell L, Mattheisen M, McCarley RW, McDonald C, McGrath JJ, Medeiros H, Meier S, Melegh B, Melle I, Mesholam-Gately RI, Metspalu A, Michie PT, Milani L, Milanova V, Mitjans M, Molden E, Molina E, Molto MD, Mondelli V, Moreno C, Morley CP, Muntané G, Murphy KC, Myin-Germeys I, Nenadić I, Nestadt G, Nikitina-Zake L, Noto C, Nuechterlein KH, O'Brien NL, O'Neill FA, Oh SY, Olincy A, Ota VK, Pantelis C, Papadimitriou GN, Parellada M, Paunio T, Pellegrino R, Periyasamy S, Perkins DO, Pfuhlmann B, Pietiläinen O, Pimm J, Porteous D, Powell J, Quattrone D, Quested D, Radant AD, Rampino A, Rapaport MH, Rautanen A, Reichenberg A, Roe C, Roffman JL, Roth J, Rothermundt M, Rutten BPF, Saker-Delye S, Salomaa V, Sanjuan J, Santoro ML, Savitz A, Schall U, Scott RJ, Seidman LJ, Sharp SI, Shi J, Siever LJ, Sigurdsson E, Sim K, Skarabis N, Slominsky P, So HC, Sobell JL, Söderman E, Stain HJ, Steen NE, Steixner-Kumar AA, Stögmann E, Stone WS, Straub RE, Streit F, Strengman E, Stroup TS, Subramaniam M, Sugar CA, Suvisaari J, Svrakic DM, Swerdlow NR, Szatkiewicz JP, Ta TMT, Takahashi A, Terao C, Thibaut F, Toncheva D, Tooney PA, Torretta S, Tosato S, Tura GB, Turetsky BI, Üçok A, Vaaler A, van Amelsvoort T, van Winkel R, Veijola J, Waddington J, Walter H, Waterreus A, Webb BT, Weiser M, Williams NM, Witt SH, Wormley BK, Wu JQ, Xu Z, Yolken R, Zai CC, Zhou W, Zhu F, Zimprich F, Atbaşoğlu EC, Ayub M, Benner C, Bertolino A, Black DW, Bray NJ, Breen G, Buccola NG, Byerley WF, Chen WJ, Cloninger CR, Crespo-Facorro B, Donohoe G, Freedman R, Galletly C, Gandal MJ, Gennarelli M, Hougaard DM, Hwu HG, Jablensky AV, McCarroll SA, Moran JL, Mors O, Mortensen PB, Müller-Myhsok B, Neil AL, Nordentoft M, Pato MT, Petryshen TL, Pirinen M, Pulver AE, Schulze TG, Silverman JM, Smoller JW, Stahl EA, Tsuang DW, Vilella E, Wang SH, Xu S, Adolfsson R, Arango C, Baune BT, Belangero SI, Børglum AD, Braff D, Bramon E, Buxbaum JD, Campion D, Cervilla JA, Cichon S, Collier DA, Corvin A, Curtis D, Forti MD, Domenici E, Ehrenreich H, Escott-Price V, Esko T, Fanous AH, Gareeva A, Gawlik M, Gejman PV, Gill M, Glatt SJ, Golimbet V, Hong KS, Hultman CM, Hyman SE, Iwata N, Jönsson EG, Kahn RS, Kennedy JL, Khusnutdinova E, Kirov G, Knowles JA, Krebs MO, Laurent-Levinson C, Lee J, Lencz T, Levinson DF, Li QS, Liu J, Malhotra AK, Malhotra D, McIntosh A, McQuillin A, Menezes PR, Morgan VA, Morris DW, Mowry BJ, Murray RM, Nimgaonkar V, Nöthen MM, Ophoff RA, Paciga SA, Palotie A, Pato CN, Qin S, Rietschel M, Riley BP, Rivera M, Rujescu D, Saka MC, Sanders AR, Schwab SG, Serretti A, Sham PC, Shi Y, St Clair D, Stefánsson H, Stefansson K, Tsuang MT, van Os J, Vawter MP, Weinberger DR, Werge T, Wildenauer DB, Yu X, Yue W, Holmans PA, Pocklington AJ, Roussos P, Vassos E, Verhage M, Visscher PM, Yang J, Posthuma D, Andreassen OA, Kendler KS, Owen MJ, Wray NR, Daly MJ, Huang H, Neale BM, Sullivan PF, Ripke S, Walters JTR, O'Donovan MC. Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature 2022; 604:502-508. [PMID: 35396580 PMCID: PMC9392466 DOI: 10.1038/s41586-022-04434-5] [Citation(s) in RCA: 745] [Impact Index Per Article: 372.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 01/10/2022] [Indexed: 01/16/2023]
Abstract
Schizophrenia has a heritability of 60-80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies.
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Affiliation(s)
- Vassily Trubetskoy
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Ting Qi
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- School of Life Sciences, Westlake University, Hangzhou, China
| | | | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Tim B Bigdeli
- Department of Psychiatry and the Behavioral Sciences, SUNY Downstate Medical Center, New York, NY, USA
- Institute for Genomic Health, SUNY Downstate Medical Center, New York, NY, USA
- Department of Psychiatry, Veterans Affairs New York Harbor Healthcare System, New York, NY, USA
| | - Julien Bryois
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Chia-Yen Chen
- Biogen, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Charlotte A Dennison
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Lynsey S Hall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Max Lam
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Research Division, Institute of Mental Health, Singapore, Republic of Singapore
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Kyoko Watanabe
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Oleksandr Frei
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Janet C Harwood
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Frank Koopmans
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Faculty of Science, Amsterdam Neuroscience, Vrije Universiteit, Amsterdam, The Netherlands
| | | | - Alexander L Richards
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Julia Sidorenko
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Yang Wu
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Jian Zeng
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Biomedicine and Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Minsoo Kim
- Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Zhiqiang Li
- Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Georgios Voloudakis
- Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics, Friedman Brain Institute, Department of Genetics and Genomic Science and Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wen Zhang
- Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics, Friedman Brain Institute, Department of Genetics and Genomic Science and Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark Adams
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Ingrid Agartz
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| | - Elizabeth G Atkinson
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Esben Agerbo
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Mariam Al Eissa
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | | | - Madeline Alexander
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Behrooz Z Alizadeh
- University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, University of Groningen, Groningen, The Netherlands
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Köksal Alptekin
- Department of Psychiatry, Dokuz Eylül University School of Medicine, Izmir, Turkey
- Department of Neuroscience, Dokuz Eylül University Graduate School of Health Sciences, Izmir, Turkey
| | - Thomas D Als
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Biomedicine and Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Farooq Amin
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Volker Arolt
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Manuel Arrojo
- Servizo de Psiquiatría, Complexo Hospitalario Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain
| | - Lavinia Athanasiu
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Maria Helena Azevedo
- Institute of Medical Psychology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Silviu A Bacanu
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Nicholas J Bass
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Martin Begemann
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Richard A Belliveau
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Judit Bene
- Department of Medical Genetics, Medical School, University of Pécs, Pécs, Hungary
| | - Beben Benyamin
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia
- UniSA Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Giuseppe Blasi
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Julio Bobes
- Área de Psiquiatría-Universidad de Oviedo, Hospital Universitario Central de Asturias (HUCA), Asturias, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Asturias, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Oviedo, Asturias, Spain
| | - Stefano Bonassi
- Unit of Clinical and Molecular Epidemiology, IRCCS San Raffaele Roma and San Raffaele University, Rome, Italy
| | - Alice Braun
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Rodrigo Affonseca Bressan
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- Laboratory of Integrative Neuroscience, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Evelyn J Bromet
- Department of Psychiatry and Behavioural Health, Stony Brook University, Stony Brook, NY, USA
| | - Richard Bruggeman
- University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, University of Groningen, Groningen, The Netherlands
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, The Netherlands
| | - Peter F Buckley
- Health Science Center, University of Tennessee, Memphis, TN, USA
| | - Randy L Buckner
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Wiepke Cahn
- University Medical Center Utrecht, Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, Utrecht, The Netherlands
- Altrecht, General Menthal Health Care, Utrecht, The Netherlands
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
- Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, New South Wales, Australia
| | - Monica E Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Vaughan J Carr
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Department of Psychiatry, Monash University, Melbourne, Victoria, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - David Castle
- Department of Psychiatry, University of Melbourne, Parkville, Victoria, Australia
- St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Stanley V Catts
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
- School of Medicine, University of Queensland, Herston, Queensland, Australia
| | - Kimberley D Chambert
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Raymond C K Chan
- Institute of Psychology, Chinese Academy of Science, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Boris Chaumette
- INSERM U1266, Institute of Psychiatry and Neuroscience of Paris, Université de Paris, GHU Paris Psychiatrie & Neurosciences, Paris, France
- Department of Psychiatry, McGill University, Montreal, Québec, Canada
| | - Wei Cheng
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | | | - Siow Ann Chong
- Research Division, Institute of Mental Health, Singapore, Republic of Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - David Cohen
- Faculté de Médecine Sorbonne Université, Groupe de Recherche Clinique no. 15 - Troubles Psychiatriques et Développement (PSYDEV), Department of Child and Adolescent Psychiatry, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
- Centre de Référence des Maladies Rares à Expression Psychiatrique, Department of Child and Adolescent Psychiatry, AP-HP Sorbonne Université, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
- Institut des Systèmes Intelligents et de Robotique (ISIR), CNRS UMR7222, Faculté des Sciences et Ingénierie, Sorbonne Université, Paris, France
| | - Angèle Consoli
- Faculté de Médecine Sorbonne Université, Groupe de Recherche Clinique no. 15 - Troubles Psychiatriques et Développement (PSYDEV), Department of Child and Adolescent Psychiatry, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
- Centre de Référence des Maladies Rares à Expression Psychiatrique, Department of Child and Adolescent Psychiatry, AP-HP Sorbonne Université, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
| | - Quirino Cordeiro
- Department of Psychiatry, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil
| | - Javier Costas
- Instituto de Investigación Sanitaria (IDIS) de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain
| | - Charles Curtis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | | | - Kenneth L Davis
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lieuwe de Haan
- Department of Psychiatry, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
- Arkin, Institute for Mental Health, Amsterdam, The Netherlands
| | | | - Lynn E DeLisi
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Cambridge Health Alliance, Cambridge, MA, USA
| | - Ditte Demontis
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Biomedicine and Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | | | - Dimitris Dikeos
- First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, Athens, Greece
| | - Timothy Dinan
- Department of Psychiatry and Neurobehavioural Sciences, University College Cork, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Srdjan Djurovic
- NORMENT Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Jubao Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Psychiatry and Behavioral Neurosciences, The University of Chicago, Chicago, IL, USA
| | | | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Lourdes Fañanás
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
| | - Stephen V Faraone
- Departments of Psychiatry and Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Alessia Fiorentino
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Andreas Forstner
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Nelson B Freimer
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Menachem Fromer
- Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alessandra Frustaci
- Barnet, Enfield and Haringey Mental Health NHS Trust, St Ann's Hospital, London, UK
| | - Ary Gadelha
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- Laboratory of Integrative Neuroscience, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Giulio Genovese
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Elliot S Gershon
- Departments of Psychiatry and Human Genetics, University of Chicago, Chicago, IL, USA
| | - Marianna Giannitelli
- Faculté de Médecine Sorbonne Université, Groupe de Recherche Clinique no. 15 - Troubles Psychiatriques et Développement (PSYDEV), Department of Child and Adolescent Psychiatry, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
- Centre de Référence des Maladies Rares à Expression Psychiatrique, Department of Child and Adolescent Psychiatry, AP-HP Sorbonne Université, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
| | - Ina Giegling
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | | | - Stephanie Godard
- Departments of Psychiatry and Human and Molecular Genetics, INSERM, Institut de Myologie, Hôpital de la Pitiè-Salpêtrière, Paris, France
| | - Jacqueline I Goldstein
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Javier González Peñas
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
- BIOARABA Health Research Institute, OSI Araba, University Hospital, University of the Basque Country, Vitoria, Spain
| | - Srihari Gopal
- Neuroscience Therapeutic Area, Janssen Research and Development, Titusville, NJ, USA
| | - Jacob Gratten
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Tiffany A Greenwood
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Olivier Guillin
- INSERM, Rouen, France
- Centre Hospitalier du Rouvray, Rouen, France
- UFR Santé, Université de Rouen Normandie, Rouen, France
| | - Sinan Gülöksüz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Blanca Gutiérrez
- Department of Psychiatry, Faculty of Medicine and Biomedical Research Centre (CIBM), University of Granada, Granada, Spain
| | - Eric Hahn
- Department of Psychiatry, Charité - Universitätsmedizin, Berlin, Germany
| | - Hakon Hakonarson
- Children's Hospital of Philadelphia, Leonard Madlyn Abramson Research Center, Philadelphia, PA, USA
| | - Vahram Haroutunian
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research Clinical and Education Center (MIRECC), JJ Peters VA Medical Center, New York, NY, USA
| | - Annette M Hartmann
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Carol Harvey
- Department of Psychiatry, University of Melbourne, Parkville, Victoria, Australia
- NorthWestern Mental Health, Melbourne, Victoria, Australia
| | - Caroline Hayward
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Cancer, Western General Hospital, Edinburgh, UK
| | - Frans A Henskens
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - Stefan Herms
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Per Hoffmann
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Daniel P Howrigan
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake Aichi, Japan
| | - Conrad Iyegbe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Inge Joa
- Regional Centre for Clinical Research in Psychosis, Department of Psychiatry, Stavanger University Hospital, Stavanger, Norway
| | - Antonio Julià
- Rheumatology Research Group, Vall d'Hebron Research Institute, Barcelona, Spain
| | - Anna K Kähler
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Tony Kam-Thong
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffman-La Roche, Basel, Switzerland
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Sena Karachanak-Yankova
- Department of Medical Genetics, Medical University, Sofia, Bulgaria
- Department of Genetics, Faculty of Biology, Sofia University "St. Kliment Ohridski", Sofia, Bulgaria
| | - Oussama Kebir
- INSERM U1266, Institute of Psychiatry and Neuroscience of Paris, Université de Paris, GHU Paris Psychiatrie & Neurosciences, Paris, France
| | - Matthew C Keller
- Institute for Behavioural Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Brian J Kelly
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - Andrey Khrunin
- Institute of Molecular Genetics of National Research Centre "Kurchatov Institute", Moscow, Russia
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Janis Klovins
- Latvian Biomedical Research and Study Centre, Riga, Latvia
| | | | - Bettina Konte
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Julia Kraft
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | | | - Agung Kusumawardhani
- Psychiatry Department, University of Indonesia - Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia
| | - Hana Kuzelova-Ptackova
- Department of Psychiatry, 1st Faculty of Medicine and General University Hospital, Prague, Czech Republic
| | - Stefano Landi
- Dipartimento di Biologia, Universita' di Pisa, Pisa, Italy
| | - Laura C Lazzeroni
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Phil H Lee
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sophie E Legge
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Douglas S Lehrer
- Department of Psychiatry, Wright State University, Dayton, OH, USA
| | - Rebecca Lencer
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Bernard Lerer
- Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Miaoxin Li
- Zhongshan School of Medicine and Key Laboratory of Tropical Diseases Control (SYSU), Sun Yat-sen University, Guangzhou, China
| | | | - Gregory A Light
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- VISN 22, Mental Illness Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA, USA
| | - Svetlana Limborska
- Institute of Molecular Genetics of National Research Centre "Kurchatov Institute", Moscow, Russia
| | - Chih-Min Liu
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
- Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan
| | - Jouko Lönnqvist
- Mental Health Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Helsinki, Helsinki, Finland
| | - Carmel M Loughland
- Hunter New England Health and University of Newcastle, Newcastle, New South Wales, Australia
| | - Jan Lubinski
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Jurjen J Luykx
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Second Opinion Outpatient Clinic, GGNet Mental Health, Warnsveld, The Netherlands
| | - Amy Lynham
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Milan Macek
- Department of Biology and Medical Genetics, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | - Andrew Mackinnon
- Black Dog Institute, University of New South Wales, Randwick, New South Wales, Australia
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brion S Maher
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Wolfgang Maier
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Dolores Malaspina
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jacques Mallet
- Asfalia Biologics, iPEPS-ICM, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
| | - Stephen R Marder
- Semel Institute for Neurosciene, University of California Los Angeles, Los Angeles, CA, USA
| | - Sara Marsal
- Rheumatology Research Group, Vall d'Hebron Research Institute, Barcelona, Spain
| | - Alicia R Martin
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Lourdes Martorell
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Manuel Mattheisen
- Department of Biomedicine and Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | | | - Colm McDonald
- Centre for Neuroimaging, Cognition and Genomics (NICOG), National University of Ireland Galway, Galway, Ireland
| | - John J McGrath
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Brisbane, Queensland, Australia
| | - Helena Medeiros
- Department of Psychiatry and the Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- College of Medicine, SUNY Downstate Health Sciences University, New York, NY, USA
| | - Sandra Meier
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Bela Melegh
- Department of Medical Genetics, University of Pécs, School of Medicine, Pécs, Hungary
| | - Ingrid Melle
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Raquelle I Mesholam-Gately
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Patricia T Michie
- School of Psychology, University of Newcastle, Newcastle, New South Wales, Australia
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Vihra Milanova
- Psychiatric Clinic, Alexandrovska University Hospital, Sofia, Bulgaria
| | - Marina Mitjans
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Espen Molden
- Department of Pharmacy, University of Oslo, Oslo, Norway
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway
| | - Esther Molina
- Department of Nursing, Faculty of Health Sciences and Biomedical Research Centre (CIBM), University of Granada, Granada, Spain
| | - María Dolores Molto
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
- Department of Genetics, Faculty of Biological Sciences, Universidad de Valencia, Valencia, Spain
- Biomedical Research Institute INCLIVA, Valencia, Spain
| | - Valeria Mondelli
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Carmen Moreno
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - Christopher P Morley
- Departments of Public Health and Preventive Medicine, Family Medicine, and Psychiatry and Behavioral Sciences, State University of New York, Upstate Medical University, Syracuse, NY, USA
| | - Gerard Muntané
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
- Institut de Biologia Evolutiva (UPF-CSIC), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Spain
| | - Kieran C Murphy
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Inez Myin-Germeys
- Department for Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | - Igor Nenadić
- Cognitive Neuropsychiatry Laboratory, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Gerald Nestadt
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Cristiano Noto
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- Laboratory of Integrative Neuroscience, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Niamh Louise O'Brien
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - F Anthony O'Neill
- Centre for Public Health, Institute of Clinical Sciences, Queen's University Belfast, Belfast, UK
| | - Sang-Yun Oh
- Department of Statistics and Applied Probability, University of California at Santa Barbara, Santa Barbara, CA, USA
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ann Olincy
- Department of Psychiatry, University of Colorado Denver, Aurora, CO, USA
| | - Vanessa Kiyomi Ota
- Laboratory of Integrative Neuroscience, Universidade Federal de São Paulo, São Paulo, Brazil
- Department of Morphology and Genetics, Laboratorio de Genetica, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Christos Pantelis
- NorthWestern Mental Health, Melbourne, Victoria, Australia
- Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Parkville, Victoria, Australia
| | - George N Papadimitriou
- First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, Athens, Greece
| | - Mara Parellada
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - Tiina Paunio
- Department of Public Health Solutions, Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Renata Pellegrino
- Children's Hospital of Philadelphia, Leonard Madlyn Abramson Research Center, Philadelphia, PA, USA
| | - Sathish Periyasamy
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, University of Queensland, Brisbane, Queensland, Australia
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Bruno Pfuhlmann
- Clinic of Psychiatry and Psychotherapy, Weißer Hirsch, Dresden, Germany
| | - Olli Pietiläinen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Jonathan Pimm
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - David Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - John Powell
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Digby Quested
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Allen D Radant
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
- VA Puget Sound Health Care System, Seattle, WA, USA
| | - Antonio Rampino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Mark H Rapaport
- Huntsman Mental Health Institute, Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Anna Rautanen
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffman-La Roche, Basel, Switzerland
| | - Abraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cheryl Roe
- SUNY Upstate Medical University, Syracuse, NY, USA
| | - Joshua L Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Julian Roth
- Department of Psychiatry, Psychosomatics and Psychotherapy, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | | | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | | | - Veikko Salomaa
- THL-Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Julio Sanjuan
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
- Biomedical Research Institute INCLIVA, Valencia, Spain
- Department of Psychiatry, School of Medicine, University of Valencia, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Marcos Leite Santoro
- Laboratory of Integrative Neuroscience, Universidade Federal de São Paulo, São Paulo, Brazil
- Department of Morphology and Genetics, Laboratorio de Genetica, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Adam Savitz
- Neuroscience Therapeutic Area, Janssen Research and Development, Titusville, NJ, USA
| | - Ulrich Schall
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Mater Hospital, McAuley Centre, Newcastle, New South Wales, Australia
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
- Division of Molecular Medicine, NSW Health Pathology North, Newcastle, New South Wales, Australia
| | - Larry J Seidman
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sally Isabel Sharp
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Larry J Siever
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Bronx, NY, USA
| | - Engilbert Sigurdsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Psychiatry, Landspitali University Hospital, Reykjavik, Iceland
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore
- Yoo Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Nora Skarabis
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Petr Slominsky
- Institute of Molecular Genetics of National Research Centre "Kurchatov Institute", Moscow, Russia
| | - Hon-Cheong So
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, China
| | - Janet L Sobell
- Department of Psychiatry and the Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Erik Söderman
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| | - Helen J Stain
- School of Social and Health Sciences, Leeds Trinity University, Leeds, UK
- TIPS - Network for Clinical Research in Psychosis, Stavanger University Hospital, Stavanger, Norway
| | - Nils Eiel Steen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Agnes A Steixner-Kumar
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | | | - William S Stone
- Harvard Medical School Department of Psychiatry at Beth Israel Deaconess Medical Center, Boston, MA, USA
- Massachusetts Mental Health Center, Boston, MA, USA
| | | | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Eric Strengman
- Department of Medical Genetics, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - T Scott Stroup
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - Mythily Subramaniam
- Research Division, Institute of Mental Health, Singapore, Republic of Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Catherine A Sugar
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Jaana Suvisaari
- THL-Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Dragan M Svrakic
- Department of Psychiatry, Washington University, St Louis, MO, USA
| | - Neal R Swerdlow
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Jin P Szatkiewicz
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Thi Minh Tam Ta
- Department of Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
| | - Atsushi Takahashi
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Florence Thibaut
- Université de Paris, Faculté de Médecine, Hôpital Cochin-Tarnier, Paris, France
- INSERM U1266, Institut de Psychiatrie et de Neurosciences, Paris, France
| | - Draga Toncheva
- Department of Medical Genetics, Medical University, Sofia, Bulgaria
- Bulgarian Academy of Science, Sofia, Bulgaria
| | - Paul A Tooney
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
- Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, New South Wales, Australia
| | - Silvia Torretta
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Sarah Tosato
- Department of Neuroscience, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Gian Battista Tura
- Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Bruce I Turetsky
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Alp Üçok
- Department of Psychiatry, Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Arne Vaaler
- Division of Mental Health, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Therese van Amelsvoort
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Ruud van Winkel
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - John Waddington
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Anna Waterreus
- Neuropsychiatric Epidemiology Research Unit, School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia
- Centre for Clinical Research in Neuropsychiatry, University of Western Australia, Perth, Western Australia, Australia
| | - Bradley T Webb
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | | | - Nigel M Williams
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Brandon K Wormley
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Jing Qin Wu
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Zhida Xu
- Department of Psychiatry, GGz Centraal, Utrecht, The Netherlands
| | - Robert Yolken
- Stanley Neurovirology Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Clement C Zai
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Wei Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - Feng Zhu
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Center for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Fritz Zimprich
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Eşref Cem Atbaşoğlu
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | - Muhammad Ayub
- Department of Psychiatry, Queens University Kingston, Kingston, Ontario, Canada
| | - Christian Benner
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Donald W Black
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Nicholas J Bray
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Nancy G Buccola
- School of Nursing, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - William F Byerley
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Wei J Chen
- Center for Neuropsychiatric Research, National Health Research Institutes, Zhunan Town, Taiwan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | | | - Benedicto Crespo-Facorro
- University of Sevilla, CIBERSAM IBiS, Seville, Spain
- Hospital Universitario Virgen del Rocio, Department of Psychiatry, Universidad del Sevilla, Seville, Spain
| | - Gary Donohoe
- Centre for Neuroimaging, Cognition and Genomics (NICOG), National University of Ireland Galway, Galway, Ireland
| | - Robert Freedman
- Department of Psychiatry, University of Colorado Denver, Aurora, CO, USA
| | - Cherrie Galletly
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
- Ramsay Health Care (SA) Mental Health, Adelaide, South Australia, Australia
- Northern Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Michael J Gandal
- Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Massimo Gennarelli
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
- Genetic Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Hai-Gwo Hwu
- Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, College of Medicine and National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan
| | - Assen V Jablensky
- Centre for Clinical Research in Neuropsychiatry, University of Western Australia, Perth, Western Australia, Australia
| | - Steven A McCarroll
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jennifer L Moran
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Preben B Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Amanda L Neil
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark
| | - Michele T Pato
- Rutgers University, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Rutgers University, New Jersey Medical School, Newark, NJ, USA
| | - Tracey L Petryshen
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Matti Pirinen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Ann E Pulver
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University, Baltimore, MD, USA
| | - Jeremy M Silverman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Bronx, NY, USA
| | - Jordan W Smoller
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Eli A Stahl
- Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Regeneron Genetics Center, Orange, CA, USA
| | - Debby W Tsuang
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
- VA Puget Sound Health Care System, Seattle, WA, USA
| | - Elisabet Vilella
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Shi-Heng Wang
- College of Public Health, China Medical University, Taichung, Taiwan
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering and Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Rolf Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
| | - Celso Arango
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Parkville, Victoria, Australia
| | - Sintia Iole Belangero
- Laboratory of Integrative Neuroscience, Universidade Federal de São Paulo, São Paulo, Brazil
- Department of Morphology and Genetics, Laboratorio de Genetica, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Biomedicine and Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - David Braff
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- VISN 22, Mental Illness Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA, USA
| | - Elvira Bramon
- Division of Psychiatry, Department of Mental Health Neuroscience, University College London, London, UK
| | - Joseph D Buxbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Jorge A Cervilla
- Department of Psychiatry, San Cecilio University Hospital, University of Granada, Granada, Spain
| | - Sven Cichon
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany
| | | | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - David Curtis
- UCL Genetics Institute, University College London, London, UK
- Centre for Psychiatry, Queen Mary University London, London, UK
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Enrico Domenici
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Hannelore Ehrenreich
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Valentina Escott-Price
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ayman H Fanous
- Department of Psychiatry, Veterans Affairs New York Harbor Healthcare System, New York, NY, USA
- Department of Psychiatry, Phoenix VA Healthcare System, Phoenix, AZ, USA
- Banner-University Medical Center, Phoenix, AZ, USA
| | - Anna Gareeva
- Department of Human Molecular Genetics of the Institute of Biochemistry and Genetics of the Ufa Federal Research Center of the Russian Academy of Sciences (IBG UFRC RAS), Ufa, Russia
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation (BSMU), Ufa, Russia
| | - Micha Gawlik
- Department of Psychiatry, Psychosomatics and Psychotherapy, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Pablo V Gejman
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Psychiatry and Behavioral Neurosciences, The University of Chicago, Chicago, IL, USA
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Stephen J Glatt
- Psychiatric Genetic Epidemiology and Neurobiology Laboratory (PsychGENe lab), Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Vera Golimbet
- Mental Health Research Center, Moscow, Russian Federation
| | - Kyung Sue Hong
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Steven E Hyman
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake Aichi, Japan
| | - Erik G Jönsson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - René S Kahn
- University Medical Center Utrecht, Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, Utrecht, The Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - James L Kennedy
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Elza Khusnutdinova
- Department of Human Molecular Genetics of the Institute of Biochemistry and Genetics of the Ufa Federal Research Center of the Russian Academy of Sciences (IBG UFRC RAS), Ufa, Russia
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation (BSMU), Ufa, Russia
| | - George Kirov
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - James A Knowles
- Department of Psychiatry and Zilkha Neurogenetics Institute, Keck School of Medicine at University of Southern California, Los Angeles, CA, USA
- Department of Cell Biology, State University of New York, Downstate Health Sciences University, New York, NY, USA
| | - Marie-Odile Krebs
- INSERM U1266, Institute of Psychiatry and Neuroscience of Paris, Université de Paris, GHU Paris Psychiatrie & Neurosciences, Paris, France
| | - Claudine Laurent-Levinson
- Faculté de Médecine Sorbonne Université, Groupe de Recherche Clinique no. 15 - Troubles Psychiatriques et Développement (PSYDEV), Department of Child and Adolescent Psychiatry, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
- Centre de Référence des Maladies Rares à Expression Psychiatrique, Department of Child and Adolescent Psychiatry, AP-HP Sorbonne Université, Hôpital Universitaire de la Pitié-Salpêtrière, Paris, France
| | - Jimmy Lee
- Department of Psychosis, Institute of Mental Health, Singapore, Singapore
- Neuroscience and Mental Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Todd Lencz
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Douglas F Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Qingqin S Li
- Neuroscience Therapeutic Area, Janssen Research and Development, Titusville, NJ, USA
| | - Jianjun Liu
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Anil K Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Dheeraj Malhotra
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffman-La Roche, Basel, Switzerland
| | - Andrew McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Andrew McQuillin
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Paulo R Menezes
- Department of Preventative Medicine, Faculdade de Medicina FMUSP, University of São Paulo, São Paulo, Brazil
| | - Vera A Morgan
- Neuropsychiatric Epidemiology Research Unit, School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia
- Centre for Clinical Research in Neuropsychiatry, University of Western Australia, Perth, Western Australia, Australia
| | - Derek W Morris
- Centre for Neuroimaging, Cognition and Genomics (NICOG), National University of Ireland Galway, Galway, Ireland
| | - Bryan J Mowry
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, University of Queensland, Brisbane, Queensland, Australia
| | - Robin M Murray
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | | | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Roel A Ophoff
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sara A Paciga
- Early Clinical Development, Pfizer Worldwide Research and Development, Groton, CT, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Department of Neurology and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Carlos N Pato
- Rutgers University, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Rutgers University, New Jersey Medical School, Newark, NJ, USA
| | - Shengying Qin
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Brien P Riley
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Margarita Rivera
- Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, University of Granada, Granada, Spain
- Institute of Neurosciences, Biomedical Research Center (CIBM), University of Granada, Granada, Spain
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Meram C Saka
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | - Alan R Sanders
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Psychiatry and Behavioral Neurosciences, The University of Chicago, Chicago, IL, USA
| | - Sibylle G Schwab
- Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia
- Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Pak C Sham
- Centre for PanorOmic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Brain and Cognitive Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Psychiatry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yongyong Shi
- Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China
| | - David St Clair
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | | | | | - Ming T Tsuang
- Center for Behavioral Genomics, Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Institute of Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Jim van Os
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- University Medical Center Utrecht, Department of Psychiatry, Utrecht, The Netherlands
| | - Marquis P Vawter
- Department of Psychiatry and Human Behavior, School of Medicine, University of California Irvine, Irvine, CA, USA
| | | | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
| | - Dieter B Wildenauer
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Western Australia, Australia
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health (Peking University) and Chinese Academy of Medical Sciences Research Unit, Beijing, China
| | - Weihua Yue
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health (Peking University) and Chinese Academy of Medical Sciences Research Unit, Beijing, China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Peter A Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Andrew J Pocklington
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Panos Roussos
- Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics, Friedman Brain Institute, Department of Genetics and Genomic Science and Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, New York, NY, USA
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Matthijs Verhage
- Department of Clinical Genetics, Center for Neurogenomics and Cognitive Research, University Medical Center Amsterdam, Amsterdam, The Netherlands
- Department of Functional Genomics, Faculty of Exact Science, Center for Neurogenomics and Cognitive Research, VU University Amsterdam and VU Medical Center, Amsterdam, The Netherlands
| | - Peter M Visscher
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Jian Yang
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Danielle Posthuma
- Department of Functional Genomics, Faculty of Exact Science, Center for Neurogenomics and Cognitive Research, VU University Amsterdam and VU Medical Center, Amsterdam, The Netherlands
| | - Ole A Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Kenneth S Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Mark J Daly
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Hailiang Huang
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Patrick F Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.
| | - Michael C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.
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Joshi YB, Thomas ML, Braff DL, Green MF, Gur RC, Gur RE, Nuechterlein KH, Stone WS, Greenwood TA, Lazzeroni LC, MacDonald LR, Molina JL, Nungaray JA, Radant AD, Silverman JM, Sprock J, Sugar CA, Tsuang DW, Tsuang MT, Turetsky BI, Swerdlow NR, Light GA. Anticholinergic Medication Burden-Associated Cognitive Impairment in Schizophrenia. Am J Psychiatry 2021; 178:838-847. [PMID: 33985348 PMCID: PMC8440496 DOI: 10.1176/appi.ajp.2020.20081212] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Many psychotropic medications used to treat schizophrenia have significant anticholinergic properties, which are linked to cognitive impairment and dementia risk in healthy subjects. Clarifying the impact of cognitive impairment attributable to anticholinergic medication burden may help optimize cognitive outcomes in schizophrenia. The aim of this study was to comprehensively characterize how this burden affects functioning across multiple cognitive domains in schizophrenia outpatients. METHODS Cross-sectional data were analyzed using inferential statistics and exploratory structural equation modeling to determine the relationship between anticholinergic medication burden and cognition. Patients with a diagnosis of schizophrenia or schizoaffective disorder (N=1,120) were recruited from the community at five U.S. universities as part of the Consortium on the Genetics of Schizophrenia-2. For each participant, prescribed medications were rated and summed according to a modified Anticholinergic Cognitive Burden (ACB) scale. Cognitive functioning was assessed by performance on domains of the Penn Computerized Neurocognitive Battery (PCNB). RESULTS ACB score was significantly associated with cognitive performance, with higher ACB groups scoring worse than lower ACB groups on all domains tested on the PCNB. Similar effects were seen on other cognitive tests. Effects remained significant after controlling for demographic characteristics and potential proxies of illness severity, including clinical symptoms and chlorpromazine-equivalent antipsychotic dosage. CONCLUSIONS Anticholinergic medication burden in schizophrenia is substantial, common, conferred by multiple medication classes, and associated with cognitive impairments across all cognitive domains. Anticholinergic medication burden from all medication classes-including psychotropics used in usual care-should be considered in treatment decisions and accounted for in studies of cognitive functioning in schizophrenia.
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Affiliation(s)
- Yash B. Joshi
- Desert Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego,Department of Psychiatry, University of California, San Diego, La Jolla
| | | | - David L. Braff
- Desert Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego,Department of Psychiatry, University of California, San Diego, La Jolla
| | - Michael F. Green
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles,Desert Pacific Mental Illness Research, Education, and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia
| | | | - William S. Stone
- Department of Psychiatry, Harvard Medical School, and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston
| | | | - Laura C. Lazzeroni
- Department of Psychiatry and Behavioral Sciences and Department of Biomedical Data Science, Stanford University, Stanford, Calif,Sierra Pacific Mental Illness Research, Education, and Clinical Center, VA Health Care System, Palo Alto, Calif
| | - Laura R. MacDonald
- Desert Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego,Department of Psychiatry, University of California, San Diego, La Jolla
| | - Juan L. Molina
- Desert Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego,Department of Psychiatry, University of California, San Diego, La Jolla
| | - John A. Nungaray
- Department of Psychiatry, University of California, San Diego, La Jolla
| | - Allen D. Radant
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle,Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle
| | - Jeremy M. Silverman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York,Research and Development, James J. Peters VA Medical Center, New York
| | - Joyce Sprock
- Desert Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego,Department of Psychiatry, University of California, San Diego, La Jolla
| | - Catherine A. Sugar
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles,Department of Biostatistics, UCLA School of Public Health, Los Angeles
| | - Debby W. Tsuang
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle,Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla
| | | | - Neal R. Swerdlow
- Department of Psychiatry, University of California, San Diego, La Jolla
| | - Gregory A. Light
- Desert Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego,Department of Psychiatry, University of California, San Diego, La Jolla
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22
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Fernandez VG, Asarnow R, Hodges M, Nuechterlein KH. Linguistic and neurocognitive correlates of probabilistic classification learning in schizophrenia. Schizophr Res Cogn 2021; 26:100209. [PMID: 34354933 PMCID: PMC8321954 DOI: 10.1016/j.scog.2021.100209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/07/2021] [Accepted: 07/13/2021] [Indexed: 10/25/2022]
Abstract
Individuals with schizophrenia demonstrate impaired implicit learning on cognitively complex tasks and preserved implicit motor learning. However, little is known about how implicit learning may be related to other linguistic and cognitive variables, including development of complex language including comprehension and syntax. This study explored the relationship between probabilistic classification learning, a type of implicit learning style, and linguistic and cognitive skills in schizophrenia. This was done by examining how schizophrenia patients perform on the Weather Prediction Task (WPT) relative to controls, particularly during a dual-task interference condition that assesses task automaticity. Individuals with schizophrenia (N = 34) demonstrated depressed cognitive functioning relative to the controls (N = 18) across nearly all cognitive functions. On the Weather Prediction Task, the schizophrenia group performed less accurately than the control group in later blocks and had a relatively flat learning curve. A significant Group X Block effect when controlling for age and sex suggested differential learning throughout the task. A subgroup of patients did not develop automaticity during the repeated blocks of trials. For those patients who did not develop automaticity over the course of the WPT, linguistic and cognitive skills were strongly correlated with their Block 1 performance. For patients who developed automaticity, overall neurocognitive ability was correlated with their ultimate level of performance on the WPT but not with their Block 1 performance. That language was related to differential learning emphasizes the role of explicit, verbal processes on making initial rapid improvement on the WPT.
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Affiliation(s)
- Vindia G Fernandez
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America
| | - Robert Asarnow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.,Department of Psychology, UCLA, Los Angeles, CA, United States of America
| | - Megan Hodges
- Department of Psychology, UCLA, Los Angeles, CA, United States of America
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.,Department of Psychology, UCLA, Los Angeles, CA, United States of America
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23
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Woodberry KA, Chokran C, Johnson KA, Nuechterlein KH, Miklowitz DJ, Faraone SV, Seidman LJ. Computer-aided learning for managing stress: A feasibility trial with clinical high risk adolescents and young adults. Early Interv Psychiatry 2021; 15:471-479. [PMID: 32237208 PMCID: PMC8175018 DOI: 10.1111/eip.12958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 03/03/2020] [Accepted: 03/15/2020] [Indexed: 12/01/2022]
Abstract
AIM The peak onset of psychotic disorders occurs during adolescence and early adulthood, yet treatments for youth at clinical high risk (CHR) for psychosis are generally designed for adults. CHR youth, despite poor academic and social engagement, spend hours each day playing complicated videogames. The aim of this study was to test the feasibility of integrating biofeedback and cooperative videogame play within family therapy as a means of engaging and enhancing this population's resilience. METHODS We conducted a feasibility trial of an innovative 12-week family therapy for CHR ages 12-30 (clinicaltrials.gov NCT02531243). We report feasibility outcomes and preliminary effect sizes for pre-post changes and youth-parent differences. RESULTS Of 88 individuals referred to the centre who met age and CHR criteria, 11 (13%) youth-parent pairs met full criteria and engaged in treatment. Ten (91%) completed at least six sessions. Youth found CALMS initially credible, but parents tended to find it more credible and to be more satisfied over time. Surprisingly, parents reported a better game experience than youth. As a group, youth and parent participants reported experiencing reduced stress and perceiving each other as less critical by the end of treatment. Youth were rated as having significantly improved social, but not role or global functioning by the end of treatment. CONCLUSIONS Multiuser videogames may have a role to play in engaging youth at risk for psychosis in therapy and reducing stress and familial risk factors. A number of key developments are needed to enhance the appeal, effectiveness and practicality of this approach.
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Affiliation(s)
- Kristen A Woodberry
- Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.,Psychiatry Department, Harvard Medical School, Boston, Massachusetts, USA.,Psychiatry Department, Maine Medical Center, Portland, Maine, USA
| | - Cole Chokran
- Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Kelsey A Johnson
- Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Keith H Nuechterlein
- Departments of Psychiatry and Psychology, University of California, Los Angeles, California, USA
| | - David J Miklowitz
- Departments of Psychiatry and Psychology, University of California, Los Angeles, California, USA.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Larry J Seidman
- Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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24
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Zito MF, Subotnik KL, Ventura J, Kern RS, Green MF, Nuechterlein KH. Awareness of illness is associated with better social and nonsocial cognition in recent-onset schizophrenia. Schizophr Res 2021; 231:51-53. [PMID: 33770625 PMCID: PMC10758255 DOI: 10.1016/j.schres.2021.02.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 02/17/2021] [Accepted: 02/27/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Michael F Zito
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Semel Institute for Neuroscience and Human Behavior at UCLA, United States of America.
| | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Semel Institute for Neuroscience and Human Behavior at UCLA, United States of America
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Semel Institute for Neuroscience and Human Behavior at UCLA, United States of America
| | - Robert S Kern
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States of America; Semel Institute for Neuroscience and Human Behavior at UCLA, United States of America
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States of America; Semel Institute for Neuroscience and Human Behavior at UCLA, United States of America
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States of America; Semel Institute for Neuroscience and Human Behavior at UCLA, United States of America
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25
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Wang C, Oughourlian T, Tishler TA, Anwar F, Raymond C, Pham AD, Perschon A, Villablanca JP, Ventura J, Subotnik KL, Nuechterlein KH, Ellingson BM. Cortical morphometric correlational networks associated with cognitive deficits in first episode schizophrenia. Schizophr Res 2021; 231:179-188. [PMID: 33872855 DOI: 10.1016/j.schres.2021.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 02/09/2021] [Accepted: 04/07/2021] [Indexed: 12/14/2022]
Abstract
Schizophrenia (SCZ) is a chronic cognitive and behavioral disorder associated with abnormal cortical activity during information processing. Several brain structures associated with the seven performance domains evaluated using the MATRICS (Measurement and Treatment Research to Improve Cognition in Schizophrenia) Consensus Cognitive Battery (MCCB) have shown cortical volume loss in first episode schizophrenia (FES) patients. However, the relationship between morphological organization and MCCB performance remains unclear. Therefore, in the current observational study, high-resolution structural MRI scans were collected from 50 FES patients, and the morphometric correlation network (MCN) using cortical volume was established to characterize the cortical pattern associated with poorer MCCB performance. We also investigated topological properties, such as the modularity, the degree and the betweenness centrality. Our findings show structural volume was directly and strongly associated with the cognitive deficits of FES patients in the precuneus, anterior cingulate, and fusiform gyrus, as well as the prefrontal, parietal, and sensorimotor cortices. The medial orbitofrontal, fusiform, and superior frontal gyri were not only identified as the predominant nodes with high degree and betweenness centrality in the MCN, but they were also found to be critical in performance in several of the MCCB domains. Together, these results suggest a widespread cortical network is altered in FES patients and that performance on the MCCB domains is associated with the core pathophysiology of SCZ.
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Affiliation(s)
- Chencai Wang
- Dept. of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Talia Oughourlian
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Todd A Tishler
- Dept. of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Faizan Anwar
- Dept. of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Catalina Raymond
- Dept. of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Alex D Pham
- Dept. of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Abby Perschon
- Dept. of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - J Pablo Villablanca
- Dept. of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Joseph Ventura
- Dept. of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Kenneth L Subotnik
- Dept. of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Keith H Nuechterlein
- Dept. of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Benjamin M Ellingson
- Dept. of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Dept. of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Neuroscience Interdisciplinary Graduate Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
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26
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Humensky JL, Turner LR, Dixon LB, Drake RE, Becker DR, Subotnik KL, Ventura J, Nuechterlein KH. Personnel time required for supported employment and education services for individuals in a recent-onset psychosis treatment program. Early Interv Psychiatry 2021; 15:402-405. [PMID: 32351048 PMCID: PMC7606755 DOI: 10.1111/eip.12971] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Accepted: 04/02/2020] [Indexed: 11/27/2022]
Abstract
AIM Individual Placement and Support (IPS) improves vocational outcomes in first-episode psychosis patients, but policy makers need information on costs (and personnel time required) to conduct effective IPS. METHODS Using chart records of 42 clients in a first-episode psychosis study, we examined service time for specific activities over 18 months. RESULTS The IPS specialist averaged 92 (SD = 62) minutes per client per week: 39% of time was spent in direct client contact, 9% in meetings without the client, 14% in meetings with the treatment team, 14% in supervision and 24% on travel time. Time required was significantly higher when participants were seeking work/school placements, decreased over duration of enrolment and was similar for those using work vs school support. CONCLUSIONS IPS service time covers numerous activities, is reduced when not seeking work/school placements and required less time over enrolment duration. Financing structures should support the full range of IPS services.
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Affiliation(s)
- Jennifer L Humensky
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | - Luana R Turner
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, USA
| | - Lisa B Dixon
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | | | | | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, USA
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, USA.,Department of Psychology, University of California, Los Angeles, California, USA
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27
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Tan EJ, Rossell SL, Subotnik KL, Ventura J, Nuechterlein KH. Cognitive heterogeneity in first-episode psychosis and its relationship with premorbid developmental adjustment. Psychol Med 2021; 52:1-10. [PMID: 33706841 DOI: 10.1017/s0033291721000738] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Patients with schizophrenia spectrum disorders have been increasingly recognised to form cognitive subgroups with differential levels of impairment. Using cluster analytical techniques, this study sought to identify cognitive clusters in a sample of first-episode psychosis (FEP) patients and examine clinical and developmental differences across the resultant groups. METHODS In total, 105 FEP patients in the University of California Los Angeles Aftercare Research Program were assessed for cognition, symptoms and premorbid developmental adjustment. Hierarchical cluster analysis with Ward's method and squared Euclidean distance was conducted, confirmed by discriminant function analysis and optimised with k-means clustering. The stability of the solution was evaluated through split-sample (random, 80 and 70% samples) and alternate method (average linkage method) replication via Cohen's κ analysis. Controlling for multiple comparisons, one-way analysis of variances examined group differences in symptom severity and premorbid adjustment. RESULTS Three groups were identified: severely impaired (n = 27), moderately impaired (n = 41) and relatively intact (n = 37). There were no significant differences in symptom severity across the groups. Significant differences were observed for scholastic performance at three different developmental stages: childhood, early adolescence and late adolescence, with the relatively intact group demonstrating significantly better scholastic performance at all three stages than both the moderately impaired and severely impaired groups (who did not significantly differ from each other). CONCLUSIONS The findings add to growing evidence that cognitive clusters in FEP mirror that of later-stage schizophrenia. They also suggest that premorbid scholastic performance may not just be a risk factor for developing schizophrenia, but is also related to cognitive impairment severity and potentially to prognosis.
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Affiliation(s)
- Eric J Tan
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
- Department of Psychiatry, St Vincent's Hospital, Melbourne, Australia
| | - Susan L Rossell
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
- Department of Psychiatry, St Vincent's Hospital, Melbourne, Australia
| | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- UCLA Department of Psychology, Los Angeles, CA, USA
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28
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Maj M, van Os J, De Hert M, Gaebel W, Galderisi S, Green MF, Guloksuz S, Harvey PD, Jones PB, Malaspina D, McGorry P, Miettunen J, Murray RM, Nuechterlein KH, Peralta V, Thornicroft G, van Winkel R, Ventura J. The clinical characterization of the patient with primary psychosis aimed at personalization of management. World Psychiatry 2021; 20:4-33. [PMID: 33432763 PMCID: PMC7801854 DOI: 10.1002/wps.20809] [Citation(s) in RCA: 123] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The current management of patients with primary psychosis worldwide is often remarkably stereotyped. In almost all cases an antipsychotic medica-tion is prescribed, with second-generation antipsychotics usually preferred to first-generation ones. Cognitive behavioral therapy is rarely used in the vast majority of countries, although there is evidence to support its efficacy. Psychosocial interventions are often provided, especially in chronic cases, but those applied are frequently not validated by research. Evidence-based family interventions and supported employment programs are seldom implemented in ordinary practice. Although the notion that patients with primary psychosis are at increased risk for cardiovascular diseases and diabetes mellitus is widely shared, it is not frequent that appropriate measures be implemented to address this problem. The view that the management of the patient with primary psychosis should be personalized is endorsed by the vast majority of clinicians, but this personalization is lacking or inadequate in most clinical contexts. Although many mental health services would declare themselves "recovery-oriented", it is not common that a focus on empowerment, identity, meaning and resilience is ensured in ordinary practice. The present paper aims to address this situation. It describes systematically the salient domains that should be considered in the characterization of the individual patient with primary psychosis aimed at personalization of management. These include positive and negative symptom dimensions, other psychopathological components, onset and course, neurocognition and social cognition, neurodevelopmental indicators; social functioning, quality of life and unmet needs; clinical staging, antecedent and concomitant psychiatric conditions, physical comorbidities, family history, history of obstetric complications, early and recent environmental exposures, protective factors and resilience, and internalized stigma. For each domain, simple assessment instruments are identified that could be considered for use in clinical practice and included in standardized decision tools. A management of primary psychosis is encouraged which takes into account all the available treatment modalities whose efficacy is supported by research evidence, selects and modulates them in the individual patient on the basis of the clinical characterization, addresses the patient's needs in terms of employment, housing, self-care, social relationships and education, and offers a focus on identity, meaning and resilience.
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Affiliation(s)
- Mario Maj
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| | - Jim van Os
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marc De Hert
- University Psychiatric Centre KU Leuven, Kortenberg, Belgium
- Antwerp Health Law and Ethics Chair, University of Antwerp, Antwerp, Belgium
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University Düsseldorf, LVR-Klinikum Düsseldorf, and WHO Collaborating Center on Quality Assurance and Empowerment in Mental Health, Düsseldorf, Germany
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Philip D Harvey
- Division of Psychology, Department of Psychiatry, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge and Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| | - Dolores Malaspina
- Department of Psychiatry and Neuroscience, Ichan Medical School at Mount Sinai, New York, NY, USA
| | - Patrick McGorry
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Jouko Miettunen
- Centre for Life Course Health Research, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Robin M Murray
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Keith H Nuechterlein
- Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine, and Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Victor Peralta
- Mental Health Department, Servicio Navarro de Salud, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
| | - Graham Thornicroft
- Centre for Global Mental Health and Centre for Implementation Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ruud van Winkel
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- Antwerp Health Law and Ethics Chair, University of Antwerp, Antwerp, Belgium
- University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
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29
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Ventura J, McEwen S, Subotnik KL, Hellemann GS, Ghadiali M, Rahimdel A, Seo MJ, Irwin MR, Nuechterlein KH. Changes in inflammation are related to depression and amount of aerobic exercise in first episode schizophrenia. Early Interv Psychiatry 2021; 15:213-216. [PMID: 32056388 PMCID: PMC7423726 DOI: 10.1111/eip.12946] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 01/17/2020] [Accepted: 01/26/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Elevated levels of pro-inflammatory cytokines have been reported in meta-analyses of multi-episode schizophrenia patients when compared to controls. However, little is known about whether these same relationships are present in the early course of schizophrenia. OBJECTIVE To assess first episode schizophrenia patients for depression and to assay blood samples collected at baseline and at 6 months for interleukin-6 (IL-6). MATERIALS AND METHODS Trained raters used the Brief Psychiatric Rating Scale to assess depressive symptoms and a standard lab assay kit to assess for IL-6 levels in plasma. CONCLUSIONS Decreases in pro-inflammatory IL-6 levels were significantly related to decreases in depressive symptoms. Within a subset of patients in a 6-month aerobic exercise protocol, the number of exercise sessions completed was significantly correlated with the amount of decrease in IL-6. The reductions observed in IL-6 with aerobic exercise suggest exercise is a promising intervention to reduce brain inflammation effects in schizophrenia patients.
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Affiliation(s)
- Joseph Ventura
- UCLA Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California
| | - Sarah McEwen
- Pacific Neuroscience Institute, Santa Monica, California
| | - Kenneth L Subotnik
- UCLA Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California
| | - Gerhard S Hellemann
- UCLA Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California
| | - Manali Ghadiali
- UCLA Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California
| | - Amir Rahimdel
- UCLA Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California
| | - Min Jee Seo
- UCLA Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California
| | - Michael R Irwin
- UCLA Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California
| | - Keith H Nuechterlein
- UCLA Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California.,UCLA Department of Psychology, Los Angeles, California
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30
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Reavis EA, Lee J, Altshuler LL, Cohen MS, Engel SA, Glahn DC, Jimenez AM, Narr KL, Nuechterlein KH, Riedel P, Wynn JK, Green MF. Structural and Functional Connectivity of Visual Cortex in Schizophrenia and Bipolar Disorder: A Graph-Theoretic Analysis. ACTA ACUST UNITED AC 2020; 1:sgaa056. [PMID: 33313506 PMCID: PMC7712743 DOI: 10.1093/schizbullopen/sgaa056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Visual processing abnormalities in schizophrenia (SZ) are poorly understood, yet predict functional outcomes in the disorder. Bipolar disorder (BD) may involve similar visual processing deficits. Converging evidence suggests that visual processing may be relatively normal at early stages of visual processing such as early visual cortex (EVC), but that processing abnormalities may become more pronounced by mid-level visual areas such as lateral occipital cortex (LO). However, little is known about the connectivity of the visual system in SZ and BD. If the flow of information to, from, or within the visual system is disrupted by reduced connectivity, this could help to explain perceptual deficits. In the present study, we performed a targeted analysis of the structural and functional connectivity of the visual system using graph-theoretic metrics in a sample of 48 SZ, 46 BD, and 47 control participants. Specifically, we calculated parallel measures of local efficiency for EVC and LO from both diffusion weighted imaging data (structural) and resting-state (functional) imaging data. We found no structural connectivity differences between the groups. However, there was a significant group difference in functional connectivity and a significant group-by-region interaction driven by reduced LO connectivity in SZ relative to HC, whereas BD was approximately intermediate to the other 2 groups. We replicated this pattern of results using a different brain atlas. These findings support and extend theoretical models of perceptual dysfunction in SZ, providing a framework for further investigation of visual deficits linked to functional outcomes in SZ and related disorders.
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Affiliation(s)
- Eric A Reavis
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.,Desert Pacific Mental Illness Research, Education, and Clinical Center Greater Los Angeles VA Healthcare System, Los Angeles, CA
| | - Junghee Lee
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.,Desert Pacific Mental Illness Research, Education, and Clinical Center Greater Los Angeles VA Healthcare System, Los Angeles, CA
| | - Lori L Altshuler
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA
| | - Mark S Cohen
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA.,Departments of Neurology, Radiology, Biomedical Physics, and Bioengineering University of California, Los Angeles, Los Angeles, CA
| | - Stephen A Engel
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | - David C Glahn
- Tommy Fuss Center for Neuropsychiatric Disease Research, Department of Psychiatry Boston Children's Hospital and Harvard Medical School, Boston, MA
| | - Amy M Jimenez
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.,Desert Pacific Mental Illness Research, Education, and Clinical Center Greater Los Angeles VA Healthcare System, Los Angeles, CA
| | - Katherine L Narr
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA
| | - Keith H Nuechterlein
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.,Department of Psychology, University of California, Los Angeles, Los Angeles, CA
| | - Philipp Riedel
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.,Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Medical Faculty, Technische Universität Dresden, Dresden, Germany
| | - Jonathan K Wynn
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.,Desert Pacific Mental Illness Research, Education, and Clinical Center Greater Los Angeles VA Healthcare System, Los Angeles, CA
| | - Michael F Green
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.,Desert Pacific Mental Illness Research, Education, and Clinical Center Greater Los Angeles VA Healthcare System, Los Angeles, CA
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Greenwood TA, Swerdlow NR, Sprock J, Calkins ME, Freedman R, Green MF, Gur RE, Gur RC, Lazzeroni LC, Light GA, Nuechterlein KH, Radant AD, Silverman JM, Stone WS, Sugar CA, Tsuang DW, Tsuang MT, Turetsky BI, Braff DL, Duncan E. Heritability of acoustic startle magnitude and latency from the consortium on the genetics of schizophrenia. Schizophr Res 2020; 224:33-39. [PMID: 33189519 PMCID: PMC7728376 DOI: 10.1016/j.schres.2020.11.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 09/18/2020] [Accepted: 11/02/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Latency of the acoustic startle reflex is the time from presentation of the startling stimulus until the response, and provides an index of neural processing speed. Schizophrenia subjects exhibit slowed latency compared to healthy controls. One prior publication reported significant heritability of latency. The current study was undertaken to replicate and extend this solitary finding in a larger cohort. METHODS Schizophrenia probands, their relatives, and control subjects from the Consortium on the Genetics of Schizophrenia (COGS-1) were tested in a paradigm to ascertain magnitude, latency, and prepulse inhibition of startle. Trial types in the paradigm were: pulse-alone, and trials with 30, 60, or 120 ms between the prepulse and pulse. Comparisons of subject groups were conducted with ANCOVAs to assess startle latency and magnitude. Heritability of startle magnitude and latency was analyzed with a variance component method implemented in SOLAR v.4.3.1. RESULTS 980 subjects had analyzable startle results: 199 schizophrenia probands, 456 of their relatives, and 325 controls. A mixed-design ANCOVA on startle latency in the four trial types was significant for subject group (F(2,973) = 4.45, p = 0.012) such that probands were slowest, relatives were intermediate and controls were fastest. Magnitude to pulse-alone trials differed significantly between groups by ANCOVA (F(2,974) = 3.92, p = 0.020) such that controls were lowest, probands highest, and relatives intermediate. Heritability was significant (p < 0.0001), with heritability of 34-41% for latency and 45-59% for magnitude. CONCLUSION Both startle latency and magnitude are significantly heritable in the COGS-1 cohort. Startle latency is a strong candidate for being an endophenotype in schizophrenia.
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Affiliation(s)
| | - Neal R. Swerdlow
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| | - Joyce Sprock
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| | - Monica E. Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Robert Freedman
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver, CO
| | - Michael F. Green
- VA Greater Los Angeles Healthcare System, Los Angeles, CA,Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Laura C. Lazzeroni
- Departments of Psychiatry and Behavioral Sciences and of Biomedical Data Science, Stanford University, Stanford, CA,Department of Veterans Affairs Health Care System, Palo Alto, CA
| | - Gregory A. Light
- Department of Psychiatry, University of California San Diego, La Jolla, CA,VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA
| | - Allen D. Radant
- VA Puget Sound Health Care System, Seattle, WA,Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Jeremy M. Silverman
- James J. Peters VA Medical Center, New York, NY,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School, Boston, MA,Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA
| | - Catherine A. Sugar
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA,Department of Biostatistics, University of California Los Angeles School of Public Health, Los Angeles, CA
| | - Debby W. Tsuang
- VA Puget Sound Health Care System, Seattle, WA,Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Ming T. Tsuang
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| | - Bruce I. Turetsky
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - David L. Braff
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| | - Erica Duncan
- Atlanta Veterans Affairs Healthcare System, Decatur, GA, United States of America; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States of America.
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McCleery A, Wynn JK, Lee J, Reavis EA, Ventura J, Subotnik KL, Green MF, Nuechterlein KH. Early Visual Processing Is Associated With Social Cognitive Performance in Recent-Onset Schizophrenia. Front Psychiatry 2020; 11:823. [PMID: 33192628 PMCID: PMC7478198 DOI: 10.3389/fpsyt.2020.00823] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 07/30/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Early-stage visual processing deficits are evident in chronic schizophrenia. Consistent with a cascade model of information processing, whereby early perceptual processes have downstream effects on higher-order cognition, impaired visual processing is associated with deficits in social cognition in this clinical population. However, the nature of this relationship in the early phase of illness is unknown. Here, we present data from a study of early visual processing and social cognitive performance in recent-onset schizophrenia (ROSz). METHOD Thirty-two people with ROSz and 20 healthy controls (HC) completed a visual backward masking task using stimuli of real world objects (Object Masking) to assess early-stage (i.e., 0-125 ms post-stimulus onset) visual processing. Subjects also completed two tasks of social cognition, one assessing relatively low-level processes of emotion identification (Emotion Biological Motion, EmoBio), and another assessing more complex, higher-order theory of mind abilities (The Awareness of Social Inference Test, TASIT). Group differences were tested with repeated measures ANOVAs and t-tests. Bivariate correlations and linear regressions tested the strength of associations between early-stage visual processing and social cognitive performance in ROSz. RESULTS For Object Masking, the mask interfered with object identification over a longer interval for ROSz than for HC [F (3.19, 159.35) = 8.51, p < 0.001]. ROSz were less accurate on the EmoBio task [t (50) = -3.36, p = 0.001] and on the TASIT compared to HC [F (1, 50) = 38.37, p < 0.001]. For the TASIT ROSz were disproportionately impaired on items assessing sarcasm detection [F (1, 50) = 4.30, p = 0.04]. In ROSz, better Object Masking performance was associated with better social cognitive performance [r EmoBio = 0.45, p < 0.01; r TASIT = 0.41, p < 0.02]. Regression analyses did not provide significant support for low-level social cognition mediating the relationship between visual processing and high-level social cognition. CONCLUSION Early-stage visual processing, low-level social cognition, and high-level social cognition were all significantly impaired in ROSz. Early-stage visual processing was associated with performance on the social cognitive tasks in ROSz, consistent with a cascade model of information processing. However, significant cascading effects within social cognition were not supported. These data suggest that interventions directed at early visual processing may yield downstream effects on social cognitive processes.
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Affiliation(s)
- Amanda McCleery
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States
- Semel Institute for Neuroscience and Human Behavior, University of California–Los Angeles, Los Angeles, CA, United States
- Mental Illness Research, Education and Clinical Center (MIRECC), VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States
| | - Jonathan K. Wynn
- Semel Institute for Neuroscience and Human Behavior, University of California–Los Angeles, Los Angeles, CA, United States
- Mental Illness Research, Education and Clinical Center (MIRECC), VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States
| | - Junghee Lee
- Department of Psychiatry and Behavioral Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Eric A. Reavis
- Semel Institute for Neuroscience and Human Behavior, University of California–Los Angeles, Los Angeles, CA, United States
- Mental Illness Research, Education and Clinical Center (MIRECC), VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States
| | - Joseph Ventura
- Semel Institute for Neuroscience and Human Behavior, University of California–Los Angeles, Los Angeles, CA, United States
| | - Kenneth L. Subotnik
- Semel Institute for Neuroscience and Human Behavior, University of California–Los Angeles, Los Angeles, CA, United States
| | - Michael F. Green
- Semel Institute for Neuroscience and Human Behavior, University of California–Los Angeles, Los Angeles, CA, United States
- Mental Illness Research, Education and Clinical Center (MIRECC), VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States
| | - Keith H. Nuechterlein
- Semel Institute for Neuroscience and Human Behavior, University of California–Los Angeles, Los Angeles, CA, United States
- Department of Psychology, University of California–Los Angeles, Los Angeles, CA, United States
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Chwa WJ, Tishler TA, Raymond C, Tran C, Anwar F, Villablanca JP, Ventura J, Subotnik KL, Nuechterlein KH, Ellingson BM. Association between cortical volume and gray-white matter contrast with second generation antipsychotic medication exposure in first episode male schizophrenia patients. Schizophr Res 2020; 222:397-410. [PMID: 32487466 PMCID: PMC7572538 DOI: 10.1016/j.schres.2020.03.073] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 01/06/2020] [Accepted: 03/31/2020] [Indexed: 01/19/2023]
Abstract
This cross-sectional study examines the differences in cortical volume and gray-to-white matter contrast (GWC) in first episode schizophrenia patients (SCZ) compared to healthy control participants (HC) and in SCZ patients as a function of exposure to second generation antipsychotic medication. We hypothesize 1) SCZ exhibit regionally lower cortical volumes relative to HCs, 2) cortical volume will be greater with longer exposure to second generation antipsychotics prior to the MRI scan, and 3) lower GWC with longer exposure to second generation antipsychotics prior to the MRI scan, suggesting more blurring from greater intracortical myelin. To accomplish this, MRI scans from 71 male SCZ patients treated with second generation oral risperidone and 42 male HCs were examined. 3D T1-weighted MPRAGE images collected at 1.5T were used to estimate cortical volume and GWC by sampling signal intensity at 30% within the cortical ribbon. Average cortical volume and GWC were calculated and compared between SCZ and HC. Cortical volume and GWC in SCZ patients were correlated with duration of medication exposure for the time period prior to the scan. First-episode SCZ patients had significantly lower cortical volume compared to HCs in bilateral temporal, superior and rostral frontal, postcentral gyral, and parahippocampal regions. In SCZ patients, greater cortical volume was associated with (log-transformed) duration of second-generation antipsychotic medication exposure in bilateral precuneus, right lingual, and right superior parietal regions. Lower GWC was correlated with longer duration of medication exposure bilaterally in the superior frontal lobes. In summary, second generation antipsychotics may increase cortical volume and decrease GWC in first episode SCZ patients.
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Affiliation(s)
- Won Jong Chwa
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Todd A. Tishler
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Catalina Raymond
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Cathy Tran
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Faizan Anwar
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - J. Pablo Villablanca
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Benjamin M. Ellingson
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
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Bigdeli TB, Nuechterlein KH, Sugar CA, Subotnik KL, Kubarych T, Neale MC, Kendler KS, Asarnow RF. Evidence of shared familial factors influencing neurocognitive endophenotypes in adult- and childhood-onset schizophrenia. Psychol Med 2020; 50:1672-1679. [PMID: 31362798 DOI: 10.1017/s0033291719001715] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND The aggregation of neurocognitive deficits among the non-psychotic first-degree relatives of adult- and childhood-onset schizophrenia patients suggests that there may be a common etiology for these deficits in childhood- and adult-onset illness. However, there is considerable heterogeneity in the presentation of neurobiological abnormalities, and whether there are differences in the extent of familial transmission for specific domains of cognitive function has not been systematically addressed. METHODS We employed variance components analysis, as implemented in SOLAR-Eclipse, to evaluate the evidence of familial transmission for empirically derived composite scores representing attention, working memory, verbal learning, verbal retention, and memory for faces. We contrast estimates for adult- and childhood-onset schizophrenia families and matched community control pedigrees, and compare our findings to previous reports based on analogous neurocognitive assessments. RESULTS We observed varying degrees of familial transmission; attention and working memory yielded comparable, significant estimates for adult-onset and community control pedigrees; verbal learning was significant for childhood-onset and community control pedigrees; and facial memory demonstrated significant familial transmission only for childhood-onset schizophrenia. Model-fitting analyses indicated significant differences in familiality between adult- and childhood-onset schizophrenia for attention, working memory, and verbal learning. CONCLUSIONS By comprehensively assessing a wide range of neurocognitive domains in adult- and childhood-onset schizophrenia families, we provide additional support for specific neurocognitive domains as schizophrenia endophenotypes. Whereas comparable estimates of familial transmission for certain dimensions of cognitive functioning support a shared etiology of adult- and childhood-onset neurocognitive function, observed differences may be taken as preliminary evidence of partially divergent multifactorial architectures.
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Affiliation(s)
- Tim B Bigdeli
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, New York, USA
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Catherine A Sugar
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, University of California Los Angeles, Los Angeles, CA, USA
| | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Thomas Kubarych
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Michael C Neale
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Kenneth S Kendler
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Robert F Asarnow
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
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Subotnik KL, Ventura J, Hellemann GS, Zito MF, Agee ER, Nuechterlein KH. Relationship of poor insight to neurocognition, social cognition, and psychiatric symptoms in schizophrenia: A meta-analysis. Schizophr Res 2020; 220:164-171. [PMID: 32334936 DOI: 10.1016/j.schres.2020.03.038] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2018] [Revised: 02/02/2020] [Accepted: 03/20/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Poor insight (unawareness) about having a mental disorder is considered to be a core feature of the disorder. Further, poor insight has been associated with another core feature of schizophrenia, neurocognitive deficits. However, previous meta-analyses have shown that poor insight is more strongly related to positive symptoms and social cognition than to neurocognitive functioning. METHOD A meta-analysis of 123 studies of schizophrenia patients (combined n = 14,932) was conducted to determine the magnitude of the relationship between poor insight and neurocognition, social cognition, and positive symptoms, as well as negative symptoms, disorganization, and depression. The neurocognitive constructs were defined empirically using dimensions identified by the MATRICS initiative. RESULTS Meta-analytic findings showed that relationships were weak between poor insight and the six neurocognitive domains (r's range from -0.04 to -0.13), but that poor insight was moderately correlated with one aspect of social cognition, theory of mind (r = -0.23, p < .01). In addition, poor insight was moderately associated with reality distortion (r = 0.28, p < .01), disorganization (r = 0.29, p < .01), and negative symptoms (r = 0.20, p < .01). DISCUSSION Organizing the neurocognitive variables using the MATRICS domains continues to demonstrate that the relationship between insight and neurocognition is relatively weak. In comparison, we found moderate correlations between insight and theory of mind and several symptom domains. These moderate relationships are generally consistent with previous meta-analyses but are demonstrated more rigorously by examining more studies within the same meta-analysis.
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Affiliation(s)
- Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Gerhard S Hellemann
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Michael F Zito
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States of America
| | - Elisha R Agee
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; University of Virginia School of Medicine, Charlottesville, VA, United States of America
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States of America
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Bezdicek O, Michalec J, Kališová L, Kufa T, Děchtěrenko F, Chlebovcová M, Havlík F, Green MF, Nuechterlein KH. Profile of cognitive deficits in schizophrenia and factor structure of the Czech MATRICS Consensus Cognitive Battery. Schizophr Res 2020; 218:85-92. [PMID: 32089475 DOI: 10.1016/j.schres.2020.02.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 01/28/2020] [Accepted: 02/09/2020] [Indexed: 01/10/2023]
Abstract
We aimed to validate the Czech version of the MATRICS Consensus Cognitive Battery (MCCB). The MCCB is a test battery designed to assess cognitive treatment effects in clinical trials of patients with schizophrenia. The valid, reliable and replicable measurement of cognition in schizophrenia is of substantial importance for such clinical trial studies. We performed a psychometric analysis of the MCCB composite and domain scores based on ROC analysis of 67 schizophrenia patients and 67 age- and education-matched healthy controls from a total sample of 220 controls. Also, we correlated MCCB variables with scales measuring psychosocial functioning (Personal and Social Performance scale; PSP). The internal consistency of all 10 tests in the MCCB battery was good (Cronbach's α = 0.85 (95% CI [0.83, 0.88])). The discriminative validity for the detection of neurocognitive dysfunction in schizophrenia based on the area under the curve of MCCB composite T-score was ≥90% (95% CI [0.85, 0.96]) and all MCCB domains showed ps < .001. The MCCB global composite and the Speed of Processing domain score significantly predicted the PSP ratings. A confirmatory factor analysis on the whole control sample (N = 220) showed an optimal fit for a 6-factor in comparison to 1-factor solution. In conclusion, we found high discriminative validity for the Czech MCCB version, similar to the differentiation of schizophrenia versus healthy control groups in the original MCCB studies. We also established the factorial validity of the MCCB and showed that the overall composite of the MCCB predicts psychosocial functioning in the patient group.
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Affiliation(s)
- Ondrej Bezdicek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Czech Republic.
| | - Jiří Michalec
- Department of Psychiatry, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
| | - Lucie Kališová
- Department of Psychiatry, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
| | - Tomáš Kufa
- Department of Psychiatry, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
| | | | - Miriama Chlebovcová
- Department of Psychiatry, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
| | - Filip Havlík
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Czech Republic
| | - Michael F Green
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Veterans Affairs VISN 22 Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, USA.
| | - Keith H Nuechterlein
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA.
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Ventura J, Welikson T, Ered A, Subotnik KL, Keefe RSE, Hellemann GS, Nuechterlein KH. Virtual reality assessment of functional capacity in the early course of schizophrenia: Associations with cognitive performance and daily functioning. Early Interv Psychiatry 2020; 14:106-114. [PMID: 31183960 PMCID: PMC6901817 DOI: 10.1111/eip.12831] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 01/22/2019] [Accepted: 04/14/2019] [Indexed: 12/01/2022]
Abstract
AIM Computer-based virtual reality assessments of functional capacity have shown promise as a reliable and valid way to assess individuals with multi-episode schizophrenia. However, there has been little research utilizing this innovative approach with young patients who are in the early phase of schizophrenia. METHODS Outpatients in the early course of schizophrenia (n = 42) were compared to controls (n = 13) at cross-sectional study points. Patients were within 2 years of their first psychotic episode, were an average of 22.2 years old and had an average of 12.3 years of education. We used the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) and the University of California, San Diego (UCSD) Performance-Based Skills Assessment-2 (UPSA-2) to assess functional capacity. The MATRICS Consensus Cognitive Battery (MCCB) and the Cognitive Assessment Interview (CAI) were the measures of cognitive functioning. The Global Functioning Scale: Role (GFS-R) and Social (GFS-S), and the Role Functioning Scale (RFS) were the measures of daily functioning. RESULTS Early course patients vs controls were slower (patient M = 830.41 seconds vs control M = 716.84 seconds; t = 3.0, P < .01) and committed more errors (patient M = 3.2 vs control M = 1.7 seconds, t = 2.9, P < .01) on the VRFCAT. Total time was significantly correlated with the UPSA (r = -0.66, P < .01), MCCB (r = -0.70, P < .01), CAI (r = -0.51, P < .01), and GFS role (r = -0.52, P <. 01) and social functioning (r = -0.43, P = .03). CONCLUSIONS We extend previous findings to patients with first-episode schizophrenia. Virtual-reality-based performance was correlated with a standard test of functional capacity, indicating VRFCAT validity. Furthermore, correlations with cognitive functioning and occupational/school and social functioning indicate promise as a co-primary measure to track changes in response to treatment.
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Affiliation(s)
- Joseph Ventura
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California
| | - Tamara Welikson
- Department of Psychology, Alliant University, Alhambra, California
| | - Arielle Ered
- Department of Psychology, Temple University, Philadelphia, Pennsylvania
| | - Kenneth L Subotnik
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California
| | - Richard S E Keefe
- Department of Psychiatry and Biobehavioral Sciences, Duke University, Durham, North Carolina
| | - Gerhard S Hellemann
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California
| | - Keith H Nuechterlein
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California.,Department of Psychology, University of California at Los Angeles, Los Angeles, California
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Nuechterlein KH, Subotnik KL, Ventura J, Turner LR, Gitlin MJ, Gretchen-Doorly D, Becker DR, Drake RE, Wallace CJ, Liberman RP. Enhancing return to work or school after a first episode of schizophrenia: the UCLA RCT of Individual Placement and Support and Workplace Fundamentals Module training. Psychol Med 2020; 50:20-28. [PMID: 30606273 PMCID: PMC6620168 DOI: 10.1017/s0033291718003860] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND This study evaluated in a rigorous 18-month randomized controlled trial the efficacy of an enhanced vocational intervention for helping individuals with a recent first schizophrenia episode to return to and remain in competitive work or regular schooling. METHODS Individual Placement and Support (IPS) was adapted to meet the goals of individuals whose goals might involve either employment or schooling. IPS was combined with a Workplace Fundamentals Module (WFM) for an enhanced, outpatient, vocational intervention. Random assignment to the enhanced integrated rehabilitation program (N = 46) was contrasted with equally intensive clinical treatment at UCLA, including social skills training groups, and conventional vocational rehabilitation by state agencies (N = 23). All patients were provided case management and psychiatric services by the same clinical team and received oral atypical antipsychotic medication. RESULTS The IPS-WFM combination led to 83% of patients participating in competitive employment or school in the first 6 months of intensive treatment, compared with 41% in the comparison group (p < 0.005). During the subsequent year, IPS-WFM continued to yield higher rates of schooling/employment (92% v. 60%, p < 0.03). Cumulative number of weeks of schooling and/or employment was also substantially greater with the IPS-WFM intervention (45 v. 26 weeks, p < 0.004). CONCLUSIONS The results clearly support the efficacy of an enhanced intervention focused on recovery of participation in normative work and school settings in the initial phase of schizophrenia, suggesting potential for prevention of disability.
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Affiliation(s)
- Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Luana R. Turner
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Michael J. Gitlin
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Denise Gretchen-Doorly
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Deborah R. Becker
- Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Robert E. Drake
- Department of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Charles J. Wallace
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Robert P. Liberman
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
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Bonfils KA, Ventura J, Subotnik KL, Nuechterlein KH. Affective prosody and facial emotion recognition in first-episode schizophrenia: Associations with functioning & symptoms. Schizophr Res Cogn 2019; 18:100153. [PMID: 31497511 PMCID: PMC6718049 DOI: 10.1016/j.scog.2019.100153] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 05/06/2019] [Accepted: 05/09/2019] [Indexed: 11/30/2022]
Abstract
Studies indicate that people with schizophrenia experience deficits in their ability to accurately detect emotions, both through facial expressions and voice intonation (i.e., prosody), and that functioning and symptoms are associated with these deficits. This study aimed to examine how facial emotion and affective prosody recognition are related to functioning and symptoms in a first-episode schizophrenia sample. Further, in light of research suggesting variable emotion-specific performance in people with schizophrenia, this study explored emotion-specific performance. Participants were 49 people with a recent first episode of schizophrenia taking part in a larger RCT. Results revealed that affective prosody recognition was significantly correlated with both role and social functioning. Regarding associations with psychiatric symptoms, facial emotion recognition was significantly, negatively associated with all three positive symptom scales, whereas affective prosody recognition was significantly, negatively associated with disorganization only. Emotion-specific analyses revealed that for affective prosody, participants were most accurate in recognizing anger and least accurate for disgust. For facial emotion recognition, participants were most accurate in recognizing happiness and least accurate for fear. Taken together, results suggest that affective prosody recognition is important for social and role functioning in people with first-episode schizophrenia. Results also suggest that this group may struggle more to identify negative emotions, though additional work is needed to clarify this pattern in affective prosody and determine real-world impact on social interactions.
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Affiliation(s)
- Kelsey A. Bonfils
- VISN 4 Mental Illness Research, Education, & Clinical Center (MIRECC), VA Pittsburgh Healthcare System, 4100 Allequippa St., Pittsburgh, PA, United States
- University of Pittsburgh, Department of Psychiatry, 3811 O'Hara Street, Pittsburgh, PA, United States
- Aftercare Research Program, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, UCLA Department of Psychiatry and Biobehavioral Sciences, 300 UCLA Medical Plaza, Los Angeles, CA, United States
| | - Joseph Ventura
- Aftercare Research Program, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, UCLA Department of Psychiatry and Biobehavioral Sciences, 300 UCLA Medical Plaza, Los Angeles, CA, United States
| | - Kenneth L. Subotnik
- Aftercare Research Program, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, UCLA Department of Psychiatry and Biobehavioral Sciences, 300 UCLA Medical Plaza, Los Angeles, CA, United States
| | - Keith H. Nuechterlein
- Aftercare Research Program, Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, UCLA Department of Psychiatry and Biobehavioral Sciences, 300 UCLA Medical Plaza, Los Angeles, CA, United States
- Department of Psychology, UCLA, Los Angeles, CA, United States
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Greenwood TA, Lazzeroni LC, Maihofer AX, Swerdlow NR, Calkins ME, Freedman R, Green MF, Light GA, Nievergelt CM, Nuechterlein KH, Radant AD, Siever LJ, Silverman JM, Stone WS, Sugar CA, Tsuang DW, Tsuang MT, Turetsky BI, Gur RC, Gur RE, Braff DL. Genome-wide Association of Endophenotypes for Schizophrenia From the Consortium on the Genetics of Schizophrenia (COGS) Study. JAMA Psychiatry 2019; 76:1274-1284. [PMID: 31596458 PMCID: PMC6802253 DOI: 10.1001/jamapsychiatry.2019.2850] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
IMPORTANCE The Consortium on the Genetics of Schizophrenia (COGS) uses quantitative neurophysiological and neurocognitive endophenotypes with demonstrated deficits in schizophrenia as a platform from which to explore the underlying neural circuitry and genetic architecture. Many of these endophenotypes are associated with poor functional outcome in schizophrenia. Some are also endorsed as potential treatment targets by the US Food and Drug Administration. OBJECTIVE To build on prior assessments of heritability, association, and linkage in the COGS phase 1 (COGS-1) families by reporting a genome-wide association study (GWAS) of 11 schizophrenia-related endophenotypes in the independent phase 2 (COGS-2) cohort of patients with schizophrenia and healthy comparison participants (HCPs). DESIGN, SETTING, AND PARTICIPANTS A total of 1789 patients with schizophrenia and HCPs of self-reported European or Latino ancestry were recruited through a collaborative effort across the COGS sites and genotyped using the PsychChip. Standard quality control filters were applied, and more than 6.2 million variants with a genotyping call rate of greater than 0.99 were available after imputation. Association was performed for data sets stratified by diagnosis and ancestry using linear regression and adjusting for age, sex, and 5 principal components, with results combined through weighted meta-analysis. Data for COGS-1 were collected from January 6, 2003, to August 6, 2008; data for COGS-2, from June 30, 2010, to February 14, 2014. Data were analyzed from October 28, 2016, to May 4, 2018. MAIN OUTCOMES AND MEASURES A genome-wide association study was performed to evaluate association for 11 neurophysiological and neurocognitive endophenotypes targeting key domains of schizophrenia related to inhibition, attention, vigilance, learning, working memory, executive function, episodic memory, and social cognition. RESULTS The final sample of 1533 participants included 861 male participants (56.2%), and the mean (SD) age was 41.8 (13.6) years. In total, 7 genome-wide significant regions (P < 5 × 10-8) and 2 nearly significant regions (P < 9 × 10-8) containing several genes of interest, including NRG3 and HCN1, were identified for 7 endophenotypes. For each of the 11 endophenotypes, enrichment analyses performed at the level of P < 10-4 compared favorably with previous association results in the COGS-1 families and showed extensive overlap with regions identified for schizophrenia diagnosis. CONCLUSIONS AND RELEVANCE These analyses identified several genomic regions of interest that require further exploration and validation. These data seem to demonstrate the utility of endophenotypes for resolving the genetic architecture of schizophrenia and characterizing the underlying biological dysfunctions. Understanding the molecular basis of these endophenotypes may help to identify novel treatment targets and pave the way for precision-based medicine in schizophrenia and related psychotic disorders.
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Affiliation(s)
| | - Laura C. Lazzeroni
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California,Sierra Pacific Mental Illness Research Education and Clinical Center, Department of Veterans Affairs (VA) Health Care System, Palo Alto, California
| | - Adam X. Maihofer
- Department of Psychiatry, University of California, San Diego, La Jolla
| | - Neal R. Swerdlow
- Department of Psychiatry, University of California, San Diego, La Jolla
| | | | - Robert Freedman
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver
| | - Michael F. Green
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, California,Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles, California
| | - Gregory A. Light
- Department of Psychiatry, University of California, San Diego, La Jolla,Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, California
| | | | | | - Allen D. Radant
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle,Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, Washington
| | - Larry J. Siever
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York,Research & Development, James J. Peters VA Medical Center, New York, New York
| | - Jeremy M. Silverman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York,Research & Development, James J. Peters VA Medical Center, New York, New York
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts,Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston
| | - Catherine A. Sugar
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, California,Department of Biostatistics, UCLA School of Public Health
| | - Debby W. Tsuang
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle,Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, Washington
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla
| | | | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia
| | - David L. Braff
- Department of Psychiatry, University of California, San Diego, La Jolla
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Rodriguez-Jimenez R, Santos JL, Dompablo M, Santabárbara J, Aparicio AI, Olmos R, Jiménez-López E, Sánchez-Morla E, Lobo A, Palomo T, Kern RS, Green MF, Nuechterlein KH, García-Fernández L. MCCB cognitive profile in Spanish first episode schizophrenia patients. Schizophr Res 2019; 211:88-92. [PMID: 31345706 DOI: 10.1016/j.schres.2019.07.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 06/19/2019] [Accepted: 07/07/2019] [Indexed: 11/18/2022]
Abstract
The objective of the study was to examine the cognitive profile of Spanish patients with a first episode of schizophrenia (FESz) and to compare that to the profile of patients with a chronic schizophrenia (CSz) and non-psychiatric (NP) control subjects. The study included 106 FESz, 293 CSz, and 210 NP, assessed with the Spanish version of the MATRICS Consensus Cognitive Battery (MCCB). The MCCB cognitive profile in a Spanish sample of FESz was similar to the cognitive profile of CSz with some discrepancies in select domains. The scores of both patient samples were about 1-2 SD below the scores of non-psychiatric control subjects.
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Affiliation(s)
- R Rodriguez-Jimenez
- Department of Psychiatry, Instituto de Investigación Sanitaria Hospital, 12 de Octubre (imas12), Madrid, Spain; CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Facultad de Medicina, Universidad Complutense de Madrid (UCM), Madrid, Spain.
| | - J L Santos
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Department of Psychiatry, Hospital Virgen de La Luz, Cuenca, Spain
| | - M Dompablo
- Department of Psychiatry, Instituto de Investigación Sanitaria Hospital, 12 de Octubre (imas12), Madrid, Spain; CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain
| | - J Santabárbara
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Department of Preventive Medicine and Public Health, Universidad de Zaragoza, Spain
| | - A I Aparicio
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Department of Psychiatry, Hospital Virgen de La Luz, Cuenca, Spain
| | - R Olmos
- Department of Psychiatry, Instituto de Investigación Sanitaria Hospital, 12 de Octubre (imas12), Madrid, Spain; CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Department Social Psychology and Methodology, UAM, Madrid, Spain
| | - E Jiménez-López
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Universidad de Castilla-La Mancha, Health and Social Research Center, Cuenca, Spain
| | - E Sánchez-Morla
- Department of Psychiatry, Instituto de Investigación Sanitaria Hospital, 12 de Octubre (imas12), Madrid, Spain; CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Facultad de Medicina, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - A Lobo
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Department of Psychiatry, Universidad de Zaragoza, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Spain
| | - T Palomo
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Facultad de Medicina, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - R S Kern
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine at UCLA, Los Angeles, USA; VA Greater Los Angeles Healthcare System, Los Angeles, USA
| | - M F Green
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine at UCLA, Los Angeles, USA; VA Greater Los Angeles Healthcare System, Los Angeles, USA
| | - K H Nuechterlein
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine at UCLA, Los Angeles, USA; Department of Psychology, UCLA, Los Angeles, USA
| | - L García-Fernández
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Department of Psychiatry, Hospital San Juan, Alicante, Spain
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McCleery A, Nuechterlein KH. Cognitive impairment in psychotic illness: prevalence, profile of impairment, developmental course, and treatment considerations
. Dialogues Clin Neurosci 2019; 21:239-248. [PMID: 31749648 PMCID: PMC6829172 DOI: 10.31887/dcns.2019.21.3/amccleery] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Despite effective pharmacological treatments for psychotic symptoms (eg, hallucinations, delusions), functional outcomes for people with psychotic disorders are often disappointing. Although it is not included in the diagnostic criteria for psychotic disorders, cognitive impairment is one of the strongest determinants of community functioning in this clinical population, and thus it is an important target for intervention. In this review, we discuss the major areas of research regarding impaired cognition in psychotic illness. The specific topics covered include: (i) the prevalence of cognitive impairment in psychotic disorders; (ii) the profile and magnitude of cognitive impairment in psychotic disorders; (iii) the developmental course of cognitive impairment; (iv) the longitudinal stability of cognitive impairment; and (v) treatment approaches to improve cognitive performance in people with psychotic disorders.
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Affiliation(s)
- Amanda McCleery
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, US; VA Greater Los Angeles, VISN 22 MIRECC, Los Angeles, California, US
| | - Keith H Nuechterlein
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, US; UCLA Department of Psychology, Los Angeles, California, US
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Clayson PE, Kern RS, Nuechterlein KH, Knowlton BJ, Bearden CE, Cannon TD, Fiske AP, Ghermezi L, Hayata JN, Hellemann GS, Horan WP, Kee K, Lee J, Subotnik KL, Sugar CA, Ventura J, Yee CM, Green MF. Social vs. non-social measures of learning potential for predicting community functioning across phase of illness in schizophrenia. Schizophr Res 2019; 204:104-110. [PMID: 30121183 PMCID: PMC6377348 DOI: 10.1016/j.schres.2018.07.046] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 07/27/2018] [Accepted: 07/31/2018] [Indexed: 11/30/2022]
Abstract
Studies demonstrate that dynamic assessment (i.e., learning potential) improves the prediction of response to rehabilitation over static measures in individuals with schizophrenia. Learning potential is most commonly assessed using neuropsychological tests under a test-train-test paradigm to examine change in performance. Novel learning potential approaches using social cognitive tasks may have added value, particularly for the prediction of social functioning, but this area is unexplored. The present study is the first to investigate whether patients with schizophrenia demonstrate social cognitive learning potential across phase of illness. This study included 43 participants at clinical high risk (CHR), 63 first-episode, and 36 chronic schizophrenia patients. Assessment of learning potential involved test-train-test versions of the Wisconsin Card Sorting Test (non-social cognitive learning potential) and the Facial Emotion Identification Test (social cognitive learning potential). Non-social and social cognition pre-training scores (static scores) uniquely predicted concurrent community functioning in patients with schizophrenia, but not in CHR participants. Learning potential showed no incremental explanation of variance beyond static scores. First-episode patients showed larger non-social cognitive learning potential than CHR participants and were similar to chronic patients; chronic patients and CHR participants were similar. Group differences across phase of illness were not observed for social cognitive learning potential. Subsequent research could explore whether non-social and social cognitive learning potential relate differentially to non-social versus social types of training and rehabilitation.
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Affiliation(s)
- Peter E. Clayson
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA;,Corresponding author at: VA Greater Los Angeles Healthcare System, MIRECC 210A, Bldg. 210, 11301 Wilshire Blvd., Los Angeles, CA 90073, United States.
| | - Robert S. Kern
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA;,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Barbara J. Knowlton
- Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA;,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | | | - Alan P. Fiske
- Department of Anthropology, University of California Los Angeles, Los Angeles, CA
| | - Livon Ghermezi
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Jacqueline N. Hayata
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Gerhard S. Hellemann
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - William P. Horan
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Kimmy Kee
- Department of Psychology, California State University Channel Islands, Los Angeles, CA
| | - Junghee Lee
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Catherine A. Sugar
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Cindy M. Yee
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA;,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Michael. F. Green
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA;,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
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Ventura J, Subotnik KL, Gretchen-Doorly D, Casaus L, Boucher M, Hellemann GH, Nuechterlein KH, Hellemann GS, Nuechterlein KH. Cognitive remediation can improve negative symptoms and social functioning in first-episode schizophrenia: A randomized controlled trial. Schizophr Res 2019; 203:24-31. [PMID: 29128326 PMCID: PMC6589092 DOI: 10.1016/j.schres.2017.10.005] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 10/04/2017] [Accepted: 10/06/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Meta-analyses have reported that the effects of cognitive remediation might go beyond improvement in cognition to include unexpected benefits for schizophrenia patients such as negative symptom reduction and improvements in functioning. In addition, some evidence indicated that these potentially beneficial effects are also present in the initial course of schizophrenia, but work in this area is still developing. METHOD A RCT compared Cognitive Remediation (CR) to Healthy Behaviors Training (HBT) in 80 patients (78% male) with a mean age of 21.9years and mean education of 12.3years who had a first psychotic episode within two years of study entry. Participants were trained using CR programs or received HBT involving 50 sessions over 6months and then booster sessions over the next 6months. The SANS and BPRS were used to assess symptoms. The UCLA Social Attainment Survey assessed social functioning. RESULTS Using GLMM, improvements over 12months were found favoring CR for SANS Expressive Symptoms (p<0.01), which was composed of Affective Flattening (p<0.01) and Alogia (p=0.04), and for SANS Experiential Symptoms, composed of Avolition/Apathy (p=0.04) and Anhedonia/Asociality (p<0.01). CR was associated with improvements in social functioning (p=0.05) as compared to HBT. CONCLUSIONS We confirmed that the beneficial effects of CR appear to extend beyond cognition to improvements in negative symptoms and social functioning in early course schizophrenia patients. These results suggest that cognitive remediation might have an impact when the reduction of risk factors for chronicity is most critical for promoting recovery.
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Affiliation(s)
- Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, United States.
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Denise Gretchen-Doorly
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Laurie Casaus
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Michael Boucher
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Gerhard H. Hellemann
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles,Department of Psychology, University of California, Los Angeles
| | - Gerhard S Hellemann
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, United States
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, United States; Department of Psychology, University of California, Los Angeles, United States
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45
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Lee J, Reavis EA, Engel SA, Altshuler LL, Cohen MS, Glahn DC, Nuechterlein KH, Wynn JK, Green MF. fMRI evidence of aberrant neural adaptation for objects in schizophrenia and bipolar disorder. Hum Brain Mapp 2018; 40:1608-1617. [PMID: 30575206 DOI: 10.1002/hbm.24472] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 10/26/2018] [Accepted: 10/31/2018] [Indexed: 01/15/2023] Open
Abstract
Functional magnetic resonance imaging (fMRI) adaptation (also known as fMRI repetition suppression) has been widely used to characterize stimulus selectivity in vivo, a fundamental feature of neuronal processing in the brain. We investigated whether SZ patients and BD patients show aberrant fMRI adaptation for object perception. About 52 SZ patients, 55 BD patients, and 53 community controls completed an object discrimination task with three conditions: the same object presented twice, two exemplars from the same category, and two exemplars from different categories. We also administered two functional localizer tasks. A region of interest analysis was employed to evaluate a priori hypotheses about the lateral occipital complex (LOC) and early visual cortex (EVC). An exploratory whole brain analysis was also conducted. In the LOC and EVC, controls showed the expected reduced fMRI responses to repeated presentation of the same objects compared with different objects (i.e., fMRI adaptation for objects, p < .001). SZ patients showed an adaptation effect that was significantly smaller compared with controls. BD patients showed a lack of fMRI adaptation. The whole brain analyses showed enhanced fMRI responses to repeated presentation of the same objects only in BD patients in several brain regions including anterior cingulate cortex. This study was the first to employ fMRI adaptation for objects in SZ and BD. The current findings provide empirical evidence of aberrant fMRI adaptation in the visual cortex in SZ and BD, but in distinctly different ways.
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Affiliation(s)
- Junghee Lee
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California.,Desert Pacific Mental Illness Research, Education and Clinical Center, Greater Los Angeles Veterans Affairs Healthcare System, Los Angeles, California
| | - Eric A Reavis
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California.,Desert Pacific Mental Illness Research, Education and Clinical Center, Greater Los Angeles Veterans Affairs Healthcare System, Los Angeles, California
| | - Stephen A Engel
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Lori L Altshuler
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California
| | - Mark S Cohen
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, Connecticut.,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital Whitehall Research Building, Hartford, Connecticut
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California.,Department of Psychology, University of California Los Angeles, Los Angeles, California
| | - Jonathan K Wynn
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California.,Desert Pacific Mental Illness Research, Education and Clinical Center, Greater Los Angeles Veterans Affairs Healthcare System, Los Angeles, California
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California.,Desert Pacific Mental Illness Research, Education and Clinical Center, Greater Los Angeles Veterans Affairs Healthcare System, Los Angeles, California
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Laloyaux J, Van der Linden M, Nuechterlein KH, Thonon B, Larøi F. A direct examination of the cognitive underpinnings of multitasking abilities: A first study examining schizophrenia. Psychiatry Res 2018; 268:288-296. [PMID: 30081201 DOI: 10.1016/j.psychres.2018.06.060] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 05/14/2018] [Accepted: 06/27/2018] [Indexed: 11/26/2022]
Abstract
Many real world activities are complex and require multitasking abilities. However, the nature of these abilities remains poorly understood, and in particular in schizophrenia. The aim of the present study was to provide a better understanding of such abilities with the help of a newly developed computerized tool, the Computerized Meeting Preparation Task (CMPT). Fifty-seven individuals with schizophrenia and 39 healthy controls completed the CMPT and an extensive cognitive battery. Patients were also evaluated with a series of clinical measures. During the CMPT, participants are asked to prepare a room for a meeting while, at the same time, dealing with interruptions, solving problems, and remembering prospective memory instructions. The CMPT was found to significantly differentiate patients and healthy controls for several variables. Results also showed that multitasking abilities were related to a large array of cognitive functions and, in particular, to those associated to executive functioning. These relations were not explained by the presence of a general cognitive impairment. Finally, a double dissociation between multitasking abilities and performance on standard cognitive tests was observed. Altogether, these results underline the importance of evaluating multitasking abilities in schizophrenia as it allows detecting cognitive difficulties that cannot be identified by standard cognitive tests.
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Affiliation(s)
- Julien Laloyaux
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway; NORMENT - Norwegian Center of Excellence for Mental Disorders Research, University of Oslo, Oslo, Norway; Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium.
| | - Martial Van der Linden
- Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium; Cognitive Psychopathology and Neuropsychology Unit, University of Geneva, Geneva, Switzerland
| | - Keith H Nuechterlein
- Departments of Psychiatry and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, USA
| | - Bénédicte Thonon
- Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium
| | - Frank Larøi
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway; NORMENT - Norwegian Center of Excellence for Mental Disorders Research, University of Oslo, Oslo, Norway; Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium
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47
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Fernandez VG, Asarnow R, Narr KL, Subotnik KL, Kuppinger H, Fogelson D, Nuechterlein KH. Temporal lobe thickness and verbal memory in first-degree relatives of individuals with schizophrenia. Schizophr Res 2018; 199:221-225. [PMID: 29499968 PMCID: PMC6110998 DOI: 10.1016/j.schres.2018.02.038] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 02/20/2018] [Accepted: 02/21/2018] [Indexed: 01/17/2023]
Abstract
Cortical thinning in frontal and temporal regions has been reported in individuals diagnosed with schizophrenia and, less consistently, among their unaffected first-degree relatives. Likewise, first-degree relatives demonstrate attenuated differences in neurocognitive performance relative to healthy controls, indicating that neurocognitive performance may be an important endophenotype of the disorder. Less is known about how cortical thickness relates to neurocognitive performance in these individuals. Given the robust nature of temporal structural abnormalities in schizophrenia, this study aimed to identify how temporal lobe cortical thickness might relate to verbal memory in first-degree relatives. Unaffected parents and siblings of individuals with adult-onset schizophrenia (N=62) and individuals in healthy control families (N=70) participating in the UCLA Family Study received a structural MRI and completed a battery of neurocognitive tests. Cortical thickness was estimated across the cortex and thickness measures of all regions in the temporal lobe were summed, averaged, and residualized for age and sex to produce a variable. A verbal learning factor was derived from two common tests of verbal learning and memory, the CVLT-II and Logical Memory of the WMS-III. Results demonstrated a significant interaction between group and verbal learning in relationship to temporal lobe thickness. Post-hoc analyses revealed significant correlations between verbal learning and cortical thickness in the relatives of schizophrenia patients which were driven by immediate recall scores on the CVLT-II and Logical Memory. These findings indicate that cortical thickness in the temporal cortex may represent a structural correlate for encoding verbal information in unaffected relatives of individuals with schizophrenia.
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Affiliation(s)
- Vindia G. Fernandez
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA,Department of Psychology, UCLA, Los Angeles, CA
| | - Robert Asarnow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
| | - Katherine L. Narr
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA,Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, CA
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Heidi Kuppinger
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
| | - David Fogelson
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, Los Angeles, CA,Department of Psychology, UCLA, Los Angeles, CA
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48
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Swerdlow NR, Light GA, Thomas ML, Sprock J, Calkins ME, Green MF, Greenwood TA, Gur RE, Gur RC, Lazzeroni LC, Nuechterlein KH, Radant AD, Seidman LJ, Siever LJ, Silverman JM, Stone WS, Sugar CA, Tsuang DW, Tsuang MT, Turetsky BI, Braff DL. Deficient prepulse inhibition in schizophrenia in a multi-site cohort: Internal replication and extension. Schizophr Res 2018; 198:6-15. [PMID: 28549722 PMCID: PMC5700873 DOI: 10.1016/j.schres.2017.05.013] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 05/08/2017] [Accepted: 05/10/2017] [Indexed: 11/29/2022]
Abstract
BACKGROUND The Consortium on the Genetics of Schizophrenia (COGS) collected case-control endophenotype and genetic information from 2457 patients and healthy subjects (HS) across 5 test sites over 3.5 years. Analysis of the first "wave" (W1) of 1400 subjects identified prepulse inhibition (PPI) deficits in patients vs. HS. Data from the second COGS "wave" (W2), and the combined W(1+2), were used to assess: 1) the replicability of PPI deficits in this design; 2) the impact of response criteria on PPI deficits; and 3) PPI in a large cohort of antipsychotic-free patients. METHODS PPI in W2 HS (n=315) and schizophrenia patients (n=326) was compared to findings from W1; planned analyses assessed the impact of diagnosis, "wave" (1 vs. 2), and startle magnitude criteria. Combining waves allowed us to assess PPI in 120 antipsychotic-free patients, including many in the early course of illness. RESULTS ANOVA of all W(1+2) subjects revealed robust PPI deficits in patients across "waves" (p<0.0004). Strict response criteria excluded almost 39% of all subjects, disproportionately impacting specific subgroups; ANOVA in this smaller cohort confirmed no significant effect of "wave" or "wave x diagnosis" interaction, and a significant effect of diagnosis (p<0.002). Antipsychotic-free, early-illness patients had particularly robust PPI deficits. DISCUSSION Schizophrenia-linked PPI deficits were replicable across two multi-site "waves" of subjects collected over 3.5years. Strict response criteria disproportionately excluded older, male, non-Caucasian patients with low-normal hearing acuity. These findings set the stage for genetic analyses of PPI using the combined COGS wave 1 and 2 cohorts.
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Affiliation(s)
- Neal R. Swerdlow
- Department of Psychiatry, University of California San Diego, La Jolla, CA,Corresponding Author: Neal R. Swerdlow, M.D., Ph.D., University of California San Diego, Dept. of Psychiatry, 9500 Gilman Drive, La Jolla, CA 92093-0804 619-543-6270 (office); 619-543-2493 (fax);
| | - Gregory A. Light
- Department of Psychiatry, University of California San Diego, La Jolla, CA,VISN 22, Mental Illness Research, Education & Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA
| | - Michael L. Thomas
- Department of Psychiatry, University of California San Diego, La Jolla, CA,VISN 22, Mental Illness Research, Education & Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA
| | - Joyce Sprock
- Department of Psychiatry, University of California San Diego, La Jolla, CA,VISN 22, Mental Illness Research, Education & Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA
| | - Monica E. Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Michael F. Green
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | | | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Laura C. Lazzeroni
- Departments of Psychiatry and Behavioral Sciences and of Pediatrics, Stanford University, Stanford, CA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Allen D. Radant
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA,VA Puget Sound Health Care System, Seattle, WA
| | - Larry J. Seidman
- Department of Psychiatry, Harvard Medical School, Boston, MA,Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA
| | - Larry J. Siever
- Department of Psychiatry, The Mount Sinai School of Medicine, New York, NY,James J. Peters VA Medical Center, New York, NY
| | - Jeremy M. Silverman
- Department of Psychiatry, The Mount Sinai School of Medicine, New York, NY,James J. Peters VA Medical Center, New York, NY
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School, Boston, MA,Harvard Institute of Psychiatric Epidemiology and Genetics, Boston, MA
| | - Catherine A. Sugar
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,VISN 22, Mental Illness Research, Education & Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA,Department of Biostatistics, University of California Los Angeles School of Public Health, Los Angeles, CA
| | - Debby W. Tsuang
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA,VA Puget Sound Health Care System, Seattle, WA
| | - Ming T. Tsuang
- Department of Psychiatry, University of California San Diego, La Jolla, CA,Institute for Genomic Medicine, University of California San Diego, La Jolla, CA,Harvard Institute of Psychiatric Epidemiology and Genetics, Boston, MA
| | - Bruce I. Turetsky
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - David L. Braff
- Department of Psychiatry, University of California San Diego, La Jolla, CA,VISN 22, Mental Illness Research, Education & Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA
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49
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Lee J, Nuechterlein KH, Knowlton BJ, Bearden CE, Cannon TD, Fiske AP, Ghermezi L, Hayata JN, Hellemann GS, Horan WP, Kee K, Kern RS, Subotnik KL, Sugar CA, Ventura J, Yee CM, Green MF. Episodic Memory for Dynamic Social Interaction Across Phase of Illness in Schizophrenia. Schizophr Bull 2018; 44:620-630. [PMID: 29106694 PMCID: PMC5890490 DOI: 10.1093/schbul/sbx081] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Although a number of studies examined recollection and familiarity memory in schizophrenia, most of studies have focused on nonsocial episodic memory. Little is known about how schizophrenia patients remember social information in everyday life and whether social episodic memory changes over the course of illness. This study aims to examine episodic memory for dynamic social interaction with multimodal social stimuli in schizophrenia across phase of illness. Within each phase of illness, probands and demographically matched controls participated: 51 probands at clinical high risk (CHR) for psychosis and 36 controls, 80 first-episode schizophrenia patients and 49 controls, and 50 chronic schizophrenia patients and 39 controls. The participants completed the Social Remember-Know Paradigm that assessed overall social episodic memory, social recollection and familiarity memory, and social context memory, in addition to social cognitive measures and measures on community functioning. Probands showed impairment for recollection but not in familiarity memory and this pattern was similar across phase of illness. In contrast, impaired social context memory was observed in the first-episode and chronic schizophrenia samples, but not in CHR samples. Social context memory was associated with community functioning only in the chronic sample. These findings suggest that an impaired recollection could be a vulnerability marker for schizophrenia whereas impaired social context memory could be a disease-related marker. Further, a pattern of impaired recollection with intact familiarity memory for social stimuli suggests that schizophrenia patients may have a different pattern of impaired episodic memory for social vs nonsocial stimuli.
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Affiliation(s)
- Junghee Lee
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA,To whom correspondence should be addressed; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, 72–460, Los Angeles, CA 90024, US; tel: 310-794-9010, fax: 310-268-4056, e-mail:
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Barbara J Knowlton
- Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | | | - Alan P Fiske
- Department of Anthropology, University of California Los Angeles, Los Angeles, CA
| | - Livon Ghermezi
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Jacqueline N Hayata
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Gerhard S Hellemann
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - William P Horan
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Kimmy Kee
- Department of Psychology, California State University Channel Islands, Los Angeles, CA
| | - Robert S Kern
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Catherine A Sugar
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Cindy M Yee
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Department of Psychology, University of California Los Angeles, Los Angeles, CA
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA
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50
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Hamilton HK, Williams TJ, Ventura J, Jasperse LJ, Owens EM, Miller GA, Subotnik KL, Nuechterlein KH, Yee CM. Clinical and Cognitive Significance of Auditory Sensory Processing Deficits in Schizophrenia. Am J Psychiatry 2018; 175:275-283. [PMID: 29202656 PMCID: PMC5832530 DOI: 10.1176/appi.ajp.2017.16111203] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Although patients with schizophrenia exhibit impaired suppression of the P50 event-related brain potential in response to the second of two identical auditory stimuli during a paired-stimulus paradigm, uncertainty remains over whether this deficit in inhibitory gating of auditory sensory processes has relevance for patients' clinical symptoms or cognitive performance. The authors examined associations between P50 suppression deficits and several core features of schizophrenia to address this gap. METHOD P50 was recorded from 52 patients with schizophrenia and 41 healthy comparison subjects during a standard auditory paired-stimulus task. Clinical symptoms were assessed with the Scale for the Assessment of Positive Symptoms and the Scale for the Assessment of Negative Symptoms. The MATRICS Consensus Cognitive Battery was utilized to measure cognitive performance in a subsample of 39 patients. Correlation and regression analyses were conducted to examine P50 suppression in relation to clinical symptom and cognitive performance measures. RESULTS Schizophrenia patients demonstrated a deficit in P50 suppression when compared with healthy subjects, replicating prior research. Within the patient sample, impaired P50 suppression covaried reliably with greater difficulties in attention, poorer working memory, and reduced processing speed. CONCLUSIONS Impaired suppression of auditory stimuli was associated with core pathological features of schizophrenia, increasing confidence that P50 inhibitory processing can inform the development of interventions that target cognitive impairments in this chronic and debilitating mental illness.
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Affiliation(s)
- Holly K. Hamilton
- Sierra Pacific Mental Illness Research, Education, and Clinical Center, San Francisco VA Health Care System and the Department of Psychiatry, University of California, San Francisco,Department of Psychology, University of California, Los Angeles
| | | | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | | | - Emily M. Owens
- Department of Psychology, University of California, Los Angeles
| | - Gregory A. Miller
- Department of Psychology, University of California, Los Angeles,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Keith H. Nuechterlein
- Department of Psychology, University of California, Los Angeles,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Cindy M. Yee
- Department of Psychology, University of California, Los Angeles,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
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