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Cowan HR, Mittal VA, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone W, Tsuang MT, Woods SW, Cannon TD, Walker EF. Longitudinal Trajectories of Premorbid Social and Academic Adjustment in Youth at Clinical High Risk for Psychosis: Implications for Conversion. Schizophr Bull 2024:sbae050. [PMID: 38706103 DOI: 10.1093/schbul/sbae050] [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] [Indexed: 05/07/2024]
Abstract
BACKGROUND AND HYPOTHESIS Social and academic adjustment deteriorate in the years preceding a psychotic disorder diagnosis. Analyses of premorbid adjustment have recently been extended into the clinical high risk for psychosis (CHR) syndrome to identify risk factors and developmental pathways toward psychotic disorders. Work so far has been at the between-person level, which has constrained analyses of premorbid adjustment, clinical covariates, and conversion to psychosis. STUDY DESIGN Growth-curve models examined longitudinal trajectories in retrospective reports of premorbid social and academic adjustment from youth at CHR (n = 498). Interaction models tested whether known covariates of premorbid adjustment problems (attenuated negative symptoms, cognition, and childhood trauma) were associated with different premorbid adjustment trajectories in converters vs non-converters (ie, participants who did/did not develop psychotic disorders within 2-year follow-up). STUDY RESULTS Converters reported poorer social adjustment throughout the premorbid period. Converters who developed psychosis with an affective component reported poorer academic adjustment throughout the premorbid period than those who developed non-affective psychosis. Tentatively, baseline attenuated negative symptoms may have been associated with worsening social adjustment in the premorbid period for non-converters only. Childhood trauma impact was associated with fewer academic functioning problems among converters. Cognition effects did not differ based on conversion status. CONCLUSIONS Premorbid social function is an important factor in risk for conversion to psychosis. Negative symptoms and childhood trauma had different relationships to premorbid functioning in converters vs non-converters. Mechanisms linking symptoms and trauma to functional impairment may be different in converters vs non-converters, suggesting possible new avenues for risk assessment.
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Affiliation(s)
- Henry R Cowan
- Psychiatry, The Ohio State University, Columbus, OH, USA
- Psychology, Michigan State University, East Lansing, MI, USA
| | - Vijay A Mittal
- Psychology, Psychiatry, Medical Social Sciences, Northwestern University, Evanston, IL, USA
| | | | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
- Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | | | | | - Matcheri Keshavan
- Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Daniel H Mathalon
- Psychiatry, University of California San Francisco, San Francisco, CA, USA
- San Francisco VA Medical Center, San Francisco, CA, USA
| | - Diana O Perkins
- Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - William Stone
- Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Ming T Tsuang
- Psychiatry, University of California San Diego, San Diego, CA, USA
| | | | - Tyrone D Cannon
- Psychiatry, Yale University, New Haven, CT, USA
- Psychology, Yale University, New Haven, CT, USA
| | - Elaine F Walker
- Psychology and Psychiatry, Emory University, Atlanta, GA, USA
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Alon N, Macrynikola N, Jester DJ, Keshavan M, Reynolds CF, Saxena S, Thomas ML, Torous J, Jeste DV. Social determinants of mental health in major depressive disorder: Umbrella review of 26 meta-analyses and systematic reviews. Psychiatry Res 2024; 335:115854. [PMID: 38554496 DOI: 10.1016/j.psychres.2024.115854] [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: 02/11/2024] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 04/01/2024]
Abstract
There is a growing recognition of the impact of social determinants of mental health (SDoMHs) on people with, or at risk of, developing serious mental illnesses. Yet it is not known how associations of individual SDoMHs with risk for major depressive disorder (MDD) vary and roughly compare with one another. Following PRISMA guidelines, this umbrella review included 26 meta-analyses and systematic reviews that reported odds ratios, effect sizes, and/or pooled prevalence rates of MDD in samples with versus without specified SDoMHs. Childhood emotional, physical, or sexual abuse and neglect; intimate partner violence in females; and food insecurity were significantly associated with increased risk of MDD, with medium effect sizes. Natural disasters, terrorist acts, and military combat during deployment had small-size adverse effects, and homelessness, incarceration, and migration were associated with significantly elevated prevalence of MDD. Conversely, higher levels of parental care were significantly associated with reduced risk of MDD with medium effect sizes. Evidence supports the use of certain interventions at the individual and community level that can reduce the impact of these factors and promote health, although much more research is warranted in this area along with meaningful healthcare and societal policies to accomplish this goal.
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Affiliation(s)
- Noy Alon
- Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Natalia Macrynikola
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Dylan J Jester
- Women's Operational Military Exposure Network Center of Excellence (WOMEN CoE), VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Shekhar Saxena
- Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Michael L Thomas
- Department of Psychology, Colorado State University, Fort Collins, CO, USA
| | - John Torous
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Dilip V Jeste
- Global Research Network on Social Determinants of Health, La Jolla, CA, USA.
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Kim B, Guyer M, Keshavan M. Using implementation science to operate as a learning health system to improve outcomes in early psychosis. Early Interv Psychiatry 2024; 18:374-380. [PMID: 38527863 DOI: 10.1111/eip.13496] [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: 09/26/2022] [Revised: 09/23/2023] [Accepted: 01/24/2024] [Indexed: 03/27/2024]
Abstract
AIM Early interventions are well understood to improve psychosis outcomes, but their successful implementation remains limited. This article introduces a three-step roadmap for advancing the implementation of evidence-based practices to operate as a learning health system, which can be applied to early interventions for psychosis and is intended for an audience that is relatively new to systematic approaches to implementation. METHODS The roadmap is grounded in implementation science, which specializes in methods to promote routine use of evidence-based innovations. The roadmap draws on learning health system principles that call for commitment of leadership, application of evidence, examination of care experiences, and study of health outcomes. Examples are discussed for each roadmap step, emphasizing both data- and stakeholder-related considerations applicable throughout the roadmap. CONCLUSIONS Early psychosis care is a promising topic through which to discuss the critical need to move evidence into practice. Despite remarkable advances in early psychosis interventions, population-level impact of those interventions is yet to be realized. By providing an introduction to how implementation science principles can be operationalized in a learning health system and sharing examples from early psychosis care, this article prompts inclusion of a wider audience in essential discourse on the role that implementation science can play for moving evidence into practice for other realms of psychiatric care as well. To this end, the proposed roadmap can serve as a conceptual guiding template and framework through which various psychiatric services can methodically pursue timely implementation of evidence-based interventions for higher quality care and improved outcomes.
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Affiliation(s)
- Bo Kim
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Margaret Guyer
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Massachusetts Department of Mental Health, Boston, Massachusetts, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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4
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Williams TF, Williams AL, Cowan HR, Walker EF, Cannon TD, Bearden CE, Keshavan M, Cornblatt BA, Addington J, Woods SW, Perkins DO, Mathalon DH, Cadenhead KS, Stone WS, Mittal VA. The hierarchical taxonomy of psychopathology in clinical high risk for psychosis: Validation and extension. J Psychopathol Clin Sci 2024; 133:235-244. [PMID: 38546628 DOI: 10.1037/abn0000893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium's transdiagnostic dimensional model of psychopathology has considerable support; however, this model has been underresearched in individuals at clinical high risk for psychosis (CHR-P), a population that may advance the model. CHR-P individuals not only have attenuated psychotic symptoms that vary in severity, but also have many comorbid diagnoses and varied clinical outcomes, including disorders with uncertain relations to HiTOP (e.g., obsessive-compulsive disorder). The present study used self-report and interview data from North American Prodrome Longitudinal Study-3 (710 CHR, 96 controls) to replicate the HiTOP model and test specific hypotheses regarding disorders with uncertain relations to its dimensions. Additionally, the present study examined the HiTOP model in relation to childhood trauma, declines in social functioning, and development of full psychosis. Confirmatory factor analysis indicated that the HiTOP model's fit was nearly adequate (e.g., comparative fit index = .89), though several theory-relevant modifications were indicated. Additionally, specific tests were conducted to gain a more fine-grained perspective on how disorders with less clear prior evidence were related to the HiTOP model. Notable findings from these analyses include bipolar spectrum disorders relating to the psychosis super spectrum (i.e., .39 loading), and obsessive-compulsive disorder showing a complex pattern of loadings (e.g., internalizing and psychosis). The final model parsimoniously accounted for childhood trauma (e.g., super spectra rs = .22-.32), associations with current functioning, and predicted future conversion to a psychotic disorder (e.g., super spectra R² = .13). Overall, these results inform the HiTOP model and suggest its promise for CHR-P research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | | | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center
| | | | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill
| | | | | | - William S Stone
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center
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Bannai D, Reuter M, Hegde R, Hoang D, Adhan I, Gandu S, Pong S, Raymond N, Zeng V, Chung Y, He G, Sun D, van Erp TGM, Addington J, Bearden CE, Cadenhead K, Cornblatt B, Mathalon DH, McGlashan T, Jeffries C, Stone W, Tsuang M, Walker E, Woods SW, Cannon TD, Perkins D, Keshavan M, Lizano P. Linking enlarged choroid plexus with plasma analyte and structural phenotypes in clinical high risk for psychosis: A multisite neuroimaging study. Brain Behav Immun 2024; 117:70-79. [PMID: 38169244 DOI: 10.1016/j.bbi.2023.12.021] [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: 07/19/2023] [Revised: 12/04/2023] [Accepted: 12/19/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Choroid plexus (ChP) enlargement exists in first-episode and chronic psychosis, but whether enlargement occurs before psychosis onset is unknown. This study investigated whether ChP volume is enlarged in individuals with clinical high-risk (CHR) for psychosis and whether these changes are related to clinical, neuroanatomical, and plasma analytes. METHODS Clinical and neuroimaging data from the North American Prodrome Longitudinal Study 2 (NAPLS2) was used for analysis. 509 participants (169 controls, 340 CHR) were recruited. Conversion status was determined after 2-years of follow-up, with 36 psychosis converters. The lateral ventricle ChP was manually segmented from baseline scans. A subsample of 31 controls and 53 CHR had plasma analyte and neuroimaging data. RESULTS Compared to controls, CHR (d = 0.23, p = 0.017) and non-converters (d = 0.22, p = 0.03) demonstrated higher ChP volumes, but not in converters. In CHR, greater ChP volume correlated with lower cortical (r = -0.22, p < 0.001), subcortical gray matter (r = -0.21, p < 0.001), and total white matter volume (r = -0.28,p < 0.001), as well as larger lateral ventricle volume (r = 0.63,p < 0.001). Greater ChP volume correlated with makers functionally associated with the lateral ventricle ChP in CHR [CCL1 (r = -0.30, p = 0.035), ICAM1 (r = 0.33, p = 0.02)], converters [IL1β (r = 0.66, p = 0.004)], and non-converters [BMP6 (r = -0.96, p < 0.001), CALB1 (r = -0.98, p < 0.001), ICAM1 (r = 0.80, p = 0.003), SELE (r = 0.59, p = 0.026), SHBG (r = 0.99, p < 0.001), TNFRSF10C (r = 0.78, p = 0.001)]. CONCLUSIONS CHR and non-converters demonstrated significantly larger ChP volumes compared to controls. Enlarged ChP was associated with neuroanatomical alterations and analyte markers functionally associated with the ChP. These findings suggest that the ChP may be a key an important biomarker in CHR.
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Affiliation(s)
- Deepthi Bannai
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Martin Reuter
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Rachal Hegde
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Dung Hoang
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Iniya Adhan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Swetha Gandu
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sovannarath Pong
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Nick Raymond
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Victor Zeng
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Yoonho Chung
- Department of Psychology, Yale University, New Haven, CT, USA
| | - George He
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Daqiang Sun
- Semel Institute for Neuroscience and Human Behavior and Department of Psychology, UCLA, Los Angeles, CA, USA
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, UC Irvine, Irvine, CA, USA
| | - Jean Addington
- Hotchkins Brain Institute, Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior and Department of Psychology, UCLA, Los Angeles, CA, USA
| | | | | | | | | | - Clark Jeffries
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA
| | - William Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Ming Tsuang
- Department of Psychiatry, UCSD, San Diego, CA, USA
| | - Elaine Walker
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Diana Perkins
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA; Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Paulo Lizano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA.
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Guimond S, Alftieh A, Devenyi GA, Mike L, Chakravarty MM, Shah JL, Parker DA, Sweeney JA, Pearlson G, Clementz BA, Tamminga CA, Keshavan M. Enlarged pituitary gland volume: a possible state rather than trait marker of psychotic disorders. Psychol Med 2024:1-9. [PMID: 38357733 DOI: 10.1017/s003329172300380x] [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] [Indexed: 02/16/2024]
Abstract
BACKGROUND Enlarged pituitary gland volume could be a marker of psychotic disorders. However, previous studies report conflicting results. To better understand the role of the pituitary gland in psychosis, we examined a large transdiagnostic sample of individuals with psychotic disorders. METHODS The study included 751 participants (174 with schizophrenia, 114 with schizoaffective disorder, 167 with psychotic bipolar disorder, and 296 healthy controls) across six sites in the Bipolar-Schizophrenia Network on Intermediate Phenotypes consortium. Structural magnetic resonance images were obtained, and pituitary gland volumes were measured using the MAGeT brain algorithm. Linear mixed models examined between-group differences with controls and among patient subgroups based on diagnosis, as well as how pituitary volumes were associated with symptom severity, cognitive function, antipsychotic dose, and illness duration. RESULTS Mean pituitary gland volume did not significantly differ between patients and controls. No significant effect of diagnosis was observed. Larger pituitary gland volume was associated with greater symptom severity (F = 13.61, p = 0.0002), lower cognitive function (F = 4.76, p = 0.03), and higher antipsychotic dose (F = 5.20, p = 0.02). Illness duration was not significantly associated with pituitary gland volume. When all variables were considered, only symptom severity significantly predicted pituitary gland volume (F = 7.54, p = 0.006). CONCLUSIONS Although pituitary volumes were not increased in psychotic disorders, larger size may be a marker associated with more severe symptoms in the progression of psychosis. This finding helps clarify previous inconsistent reports and highlights the need for further research into pituitary gland-related factors in individuals with psychosis.
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Affiliation(s)
- Synthia Guimond
- Department of Psychiatry, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Department of Psychoeducation and Psychology, Université du Québec en Outaouais, Gatineau, QC, Canada
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ahmad Alftieh
- Department of Psychiatry, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Gabriel A Devenyi
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Douglas Mental Health University Institute, Verdun, QC, Canada
| | - Luke Mike
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - M Mallar Chakravarty
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Douglas Mental Health University Institute, Verdun, QC, Canada
- Department of Biomedical Engineering, McGill University Montréal, QC, Canada
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada
| | - Jai L Shah
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Douglas Mental Health University Institute, Verdun, QC, Canada
| | - David A Parker
- Department of Psychology, BioImaging Research Center, University of Georgia, Athens, GA, USA
- Department of and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - John A Sweeney
- Department of Psychiatry, University of Cincinnati, Cincinnati, OH, USA
| | - Godfrey Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
| | - Brett A Clementz
- Department of Psychology, BioImaging Research Center, University of Georgia, Athens, GA, USA
- Department of and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
| | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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Hazan H, Ferrara M, Riley S, Li F, Zhou B, Kline E, Gibbs-Dean T, Karmani S, Tayfur SN, Tek C, Keshavan M, Srihari V. The impact of early detection (ED) campaigns on care presentations: Beyond DUP reduction. Schizophr Res 2024; 264:457-461. [PMID: 38266513 PMCID: PMC10923115 DOI: 10.1016/j.schres.2024.01.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 05/10/2023] [Revised: 11/13/2023] [Accepted: 01/08/2024] [Indexed: 01/26/2024]
Abstract
We examined the effects of an early detection (ED) campaign (Mindmap), that successfully shortened the duration of untreated psychosis (DUP), on patient presentation profiles at two receiving coordinated specialty care (CSC) services. Data were collected between 2015 and 2019 during a test of ED delivered at one CSC (STEP, n = 147) compared to usual detection at another CSC (PREP, n = 63). Regression models were used to test the effects of ED and DUP on presentation. Before the launch of ED, there were no differences in presentation between STEP and PREP. However, the ED changed the profile of presentations to STEP such that patients were admitted with better negative and total symptoms scores, but worse GAF current and GAF social and with a greater decline in function over the prior year (GAF-Δ). Site-by-time interaction effects were not significant. During the campaign years, STEP vs. PREP recruited patients with better negative and total symptoms, GAF role, and pre-morbid adjustment scores but with worse positive symptoms, GAF current, and GAF-Δ. Nonetheless, mediation analysis revealed that DUP reduction accounted for very little (<8 %) of these differences in presentation. Early detection campaigns while successfully reducing access delays, can have salutary effects on presentation independent of DUP reduction.
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Affiliation(s)
- Hadar Hazan
- Yale Medical School, United States of America.
| | | | - Sarah Riley
- Yale Medical School, United States of America
| | - Fangyong Li
- Yale Center for Analytical Sciences, United States of America
| | - Bin Zhou
- Yale Center for Analytical Sciences, United States of America
| | | | | | | | | | - Cenk Tek
- Yale Medical School, United States of America
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8
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Molho W, Raymond N, Reinhart RMG, Trotti R, Grover S, Keshavan M, Lizano P. Lesion network guided delta frequency neuromodulation improves cognition in patients with psychosis spectrum disorders: A pilot study. Asian J Psychiatr 2024; 92:103887. [PMID: 38183737 DOI: 10.1016/j.ajp.2023.103887] [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: 10/03/2023] [Revised: 12/05/2023] [Accepted: 12/18/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Transcranial electric stimulation (tES) may improve cognition in psychosis spectrum disorders. However, few studies have used novel tES approaches, such as high definition tES (HD-tES) to target specific brain circuits. Recently, the extrastriate visual cortex (V5/MT) has been causally linked to visual hallucinations through lesion network mapping and this may be a promising approach for improving cognition. OBJECTIVE We aim to determine if causal lesion network guided HD-tES to V5/MT improves cognitive performance as measured by the Brief Assessment of Cognition in Schizophrenia (BACS). METHODS A single-blind pilot study with a within-subjects crossover design was performed to characterize the effect of cathodal HD-transcranial direct current stimulation (tDCS) and 2 Hz HD-transcranial alternating current stimulation (tACS) on cognition. Enrolled patients received 20 mins of HD-tES twice daily for 5 consecutive days applied bilaterally to V5/MT with a washout between conditions. BACS assessments were performed at baseline, day-5, and 1-month. RESULTS 6 participants with psychosis spectrum disorder were enrolled. 6 individuals received cathodal HD-tDCS. 4 individuals received 2 Hz HD-tACS. HD-tACS resulted in significant (p < 0.1 baseline to 1-month improvements for Digit Sequencing, Verbal Fluency, and Tower of London. HD-tDCS did not result in significant improvement on any task. CONCLUSIONS HD-tACS targeting V5/MT may be a promising treatment to improve cognitive abilities in individuals with psychosis. By promoting delta oscillations, tACS may enhance cortico-cortico communications across brain networks to improve verbal working memory, processing speed, and executive function. Large-scale investigations are needed to replicate these results.
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Affiliation(s)
- Willa Molho
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA.
| | - Nicolas Raymond
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA.
| | - Robert M G Reinhart
- Department of Psychological and Brain Science, Boston University, Boston, MA, USA
| | - Rebekah Trotti
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Shrey Grover
- Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Paulo Lizano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
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9
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Tandon R, Nasrallah H, Akbarian S, Carpenter WT, DeLisi LE, Gaebel W, Green MF, Gur RE, Heckers S, Kane JM, Malaspina D, Meyer-Lindenberg A, Murray R, Owen M, Smoller JW, Yassin W, Keshavan M. The schizophrenia syndrome, circa 2024: What we know and how that informs its nature. Schizophr Res 2024; 264:1-28. [PMID: 38086109 DOI: 10.1016/j.schres.2023.11.015] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 03/01/2024]
Abstract
With new data about different aspects of schizophrenia being continually generated, it becomes necessary to periodically revisit exactly what we know. Along with a need to review what we currently know about schizophrenia, there is an equal imperative to evaluate the construct itself. With these objectives, we undertook an iterative, multi-phase process involving fifty international experts in the field, with each step building on learnings from the prior one. This review assembles currently established findings about schizophrenia (construct, etiology, pathophysiology, clinical expression, treatment) and posits what they reveal about its nature. Schizophrenia is a heritable, complex, multi-dimensional syndrome with varying degrees of psychotic, negative, cognitive, mood, and motor manifestations. The illness exhibits a remitting and relapsing course, with varying degrees of recovery among affected individuals with most experiencing significant social and functional impairment. Genetic risk factors likely include thousands of common genetic variants that each have a small impact on an individual's risk and a plethora of rare gene variants that have a larger individual impact on risk. Their biological effects are concentrated in the brain and many of the same variants also increase the risk of other psychiatric disorders such as bipolar disorder, autism, and other neurodevelopmental conditions. Environmental risk factors include but are not limited to urban residence in childhood, migration, older paternal age at birth, cannabis use, childhood trauma, antenatal maternal infection, and perinatal hypoxia. Structural, functional, and neurochemical brain alterations implicate multiple regions and functional circuits. Dopamine D-2 receptor antagonists and partial agonists improve psychotic symptoms and reduce risk of relapse. Certain psychological and psychosocial interventions are beneficial. Early intervention can reduce treatment delay and improve outcomes. Schizophrenia is increasingly considered to be a heterogeneous syndrome and not a singular disease entity. There is no necessary or sufficient etiology, pathology, set of clinical features, or treatment that fully circumscribes this syndrome. A single, common pathophysiological pathway appears unlikely. The boundaries of schizophrenia remain fuzzy, suggesting the absence of a categorical fit and need to reconceptualize it as a broader, multi-dimensional and/or spectrum construct.
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Affiliation(s)
- Rajiv Tandon
- Department of Psychiatry, WMU Homer Stryker School of Medicine, Kalamazoo, MI 49008, United States of America.
| | - Henry Nasrallah
- Department of Psychiatry, University of Cincinnati College of Medicine Cincinnati, OH 45267, United States of America
| | - Schahram Akbarian
- Department of Psychiatry, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - William T Carpenter
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, United States of America
| | - Lynn E DeLisi
- Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, MA 02139, United States of America
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, LVR-Klinikum Dusseldorf, Heinrich-Heine University, Dusseldorf, Germany
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute of Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90024, United States of America; Greater Los Angeles Veterans' Administration Healthcare System, United States of America
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States of America
| | - Stephan Heckers
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN 37232, United States of America
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Glen Oaks, NY 11004, United States of America
| | - Dolores Malaspina
- Department of Psychiatry, Neuroscience, Genetics, and Genomics, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannhein/Heidelberg University, Mannheim, Germany
| | - Robin Murray
- Institute of Psychiatry, Psychology, and Neuroscience, Kings College, London, UK
| | - Michael Owen
- Centre for Neuropsychiatric Genetics and Genomics, and Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Jordan W Smoller
- Center for Precision Psychiatry, Department of Psychiatry, Psychiatric and Neurodevelopmental Unit, Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States of America
| | - Walid Yassin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
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Worthington MA, Collins MA, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Walker EF, Woods SW, Cannon TD. Improving prediction of psychosis in youth at clinical high-risk: pre-baseline symptom duration and cortical thinning as moderators of the NAPLS2 risk calculator. Psychol Med 2024; 54:611-619. [PMID: 37642172 DOI: 10.1017/s0033291723002301] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 08/31/2023]
Abstract
BACKGROUND Clinical implementation of risk calculator models in the clinical high-risk for psychosis (CHR-P) population has been hindered by heterogeneous risk distributions across study cohorts which could be attributed to pre-ascertainment illness progression. To examine this, we tested whether the duration of attenuated psychotic symptom (APS) worsening prior to baseline moderated performance of the North American prodrome longitudinal study 2 (NAPLS2) risk calculator. We also examined whether rates of cortical thinning, another marker of illness progression, bolstered clinical prediction models. METHODS Participants from both the NAPLS2 and NAPLS3 samples were classified as either 'long' or 'short' symptom duration based on time since APS increase prior to baseline. The NAPLS2 risk calculator model was applied to each of these groups. In a subset of NAPLS3 participants who completed follow-up magnetic resonance imaging scans, change in cortical thickness was combined with the individual risk score to predict conversion to psychosis. RESULTS The risk calculator models achieved similar performance across the combined NAPLS2/NAPLS3 sample [area under the curve (AUC) = 0.69], the long duration group (AUC = 0.71), and the short duration group (AUC = 0.71). The shorter duration group was younger and had higher baseline APS than the longer duration group. The addition of cortical thinning improved the prediction of conversion significantly for the short duration group (AUC = 0.84), with a moderate improvement in prediction for the longer duration group (AUC = 0.78). CONCLUSIONS These results suggest that early illness progression differs among CHR-P patients, is detectable with both clinical and neuroimaging measures, and could play an essential role in the prediction of clinical outcomes.
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Affiliation(s)
| | | | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA
| | | | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Daniel H Mathalon
- Department of Psychiatry, UCSF, and SFVA Medical Center, San Francisco, CA, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - William S Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Elaine F Walker
- Departments of Psychology and Psychiatry, Emory University, Atlanta, GA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
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Bhargav H, Keshavan M. Why and how might yoga differ from other mind-body approaches in schizophrenia? Schizophr Res 2024; 264:479-481. [PMID: 38277737 DOI: 10.1016/j.schres.2024.01.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 01/28/2024]
Affiliation(s)
- Hemant Bhargav
- Department of Integrative Medicine, National Institute of Mental Health and Neurosciences, Bengaluru, India.
| | - Matcheri Keshavan
- Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Harvard Medical School, Boston, MA, United States.
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12
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Parker D, Trotti R, McDowell J, Keedy S, Keshavan M, Pearlson G, Gershon E, Ivleva E, Huang LY, Sauer K, Hill S, Sweeny J, Tamminga C, Clementz B. Differentiating Biomarker Features and Familial Characteristics of B-SNIP Psychosis Biotypes. Res Sq 2024:rs.3.rs-3702638. [PMID: 38260530 PMCID: PMC10802686 DOI: 10.21203/rs.3.rs-3702638/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Idiopathic psychosis shows considerable biological heterogeneity across cases. B-SNIP used psychosis-relevant biomarkers to identity psychosis Biotypes, which will aid etiological and targeted treatment investigations. Psychosis probands from the B-SNIP consortium (n = 1907), their first-degree biological relatives (n = 705), and healthy participants (n = 895) completed a biomarker battery composed of cognition, saccades, and auditory EEG measurements. ERP quantifications were substantially modified from previous iterations of this approach. Multivariate integration reduced multiple biomarker outcomes to 11 "bio-factors". Twenty-four different approaches indicated bio-factor data among probands were best distributed as three subgroups. Numerical taxonomy with k-means constructed psychosis Biotypes, and rand indices evaluated consistency of Biotype assignments. Psychosis subgroups, their non-psychotic first-degree relatives, and healthy individuals were compared across bio-factors. The three psychosis Biotypes differed significantly on all 11 bio-factors, especially prominent for general cognition, antisaccades, ERP magnitude, and intrinsic neural activity. Rand indices showed excellent consistency of clustering membership when samples included at least 1100 subjects. Canonical discriminant analysis described composite bio-factors that simplified group comparisons and captured neural dysregulation, neural vigor, and stimulus salience variates. Neural dysregulation captured Biotype-2, low neural vigor captured Biotype-1, and deviations of stimulus salience captured Biotype-3. First-degree relatives showed similar patterns as their Biotyped proband relatives on general cognition, antisaccades, ERP magnitudes, and intrinsic brain activity. Results extend previous efforts by the B-SNIP consortium to characterize biologically distinct psychosis Biotypes. They also show that at least 1100 observations are necessary to achieve consistent outcomes. First-degree relative data implicate specific bio-factor deviations to the subtype of their proband and may inform studies of genetic risk.
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Cannon TD, Worthington MA, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, Keshavan M, Lympus CA, Mathalon DH, Perkins DO, Stone WS, Walker EF, Woods SW, Zhao Y. Notice of Retraction: Worthington MA et al. Dynamic Prediction of Outcomes for Youth at Clinical High Risk for Psychosis: A Joint Modeling Approach. JAMA Psychiatry. 2023;80(10):1017-1025. JAMA Psychiatry 2024; 81:109-110. [PMID: 37917049 DOI: 10.1001/jamapsychiatry.2023.4732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Affiliation(s)
- Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, Connecticut
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | | | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Department of Psychology, University of California, Los Angeles
| | | | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston
| | - Cole A Lympus
- Department of Psychology, Rutgers University, New Brunswick, New Jersey
| | - Daniel H Mathalon
- Department of Psychiatry, San Francisco VA Medical Center, University of California, San Francisco
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill
| | - William S Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, Georgia
- Department of Psychiatry, Emory University, Atlanta, Georgia
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Yize Zhao
- Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut
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14
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Strawn J, DelBello M, Keshavan M. IN MEMORIAM: John A. Sweeney, Ph.D. Neuropsychopharmacology 2024; 49:487-488. [PMID: 37935860 PMCID: PMC10724120 DOI: 10.1038/s41386-023-01761-7] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 10/16/2023] [Indexed: 11/09/2023]
Affiliation(s)
- Jeffrey Strawn
- University of Cincinnati, College of Medicine, Cincinnati, OH, USA
| | - Melissa DelBello
- University of Cincinnati, College of Medicine, Cincinnati, OH, USA.
| | - Matcheri Keshavan
- Harvard University, Beth Israel Deaconess Medical School, Boston, MA, USA
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15
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Bannai D, Cao Y, Keshavan M, Reuter M, Lizano P. Manual Segmentation of the Human Choroid Plexus Using Brain MRI. J Vis Exp 2023. [PMID: 38163279 DOI: 10.3791/65341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024] Open
Abstract
The choroid plexus has been implicated in neurodevelopment and a range of brain disorders. Evidence demonstrates that the choroid plexus is critical for brain maturation, immune/ inflammatory regulation, and behavioral/cognitive functioning. However, current automated neuroimaging segmentation tools are poor at accurately and reliably segmenting the lateral ventricle choroid plexus. Furthermore, there is no existing tool that segments the choroid plexus located in the third and fourth ventricles of the brain. Thus, a protocol delineating how to segment the choroid plexus in the lateral, third, and fourth ventricle is needed to increase the reliability and replicability of studies examining the choroid plexus in neurodevelopmental and brain disorders. This protocol provides detailed steps to create separately labeled files in 3D Slicer for the choroid plexus based on DICOM or NIFTI images. The choroid plexus will be manually segmented using the axial, sagittal, and coronal planes of T1w images making sure to exclude voxels from gray or white matter structures bordering the ventricles. Windowing will be adjusted to assist in the localization of the choroid plexus and its anatomical boundaries. Methods for assessing accuracy and reliability will be demonstrated as part of this protocol. Gold standard segmentation of the choroid plexus using manual delineations can be used to develop better and more reliable automated segmentation tools that can be openly shared to elucidate changes in the choroid plexus across the lifespan and within various brain disorders.
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Affiliation(s)
- Deepthi Bannai
- Department of Psychiatry, Beth Israel Deaconess Medical Center; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center
| | - Yuan Cao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University; Department of Psychiatry and Psychotherapy, Jena University Hospital
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center
| | - Martin Reuter
- AI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital; Department of Radiology, Harvard Medical School
| | - Paulo Lizano
- Department of Psychiatry, Beth Israel Deaconess Medical Center; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center; Department of Psychiatry, Harvard Medical School;
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16
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Aberizk K, Addington JM, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Tsuang MT, Woods SW, Walker EF, Ku BS. Relations of Lifetime Perceived Stress and Basal Cortisol With Hippocampal Volume Among Healthy Adolescents and Those at Clinical High Risk for Psychosis: A Structural Equation Modeling Approach. Biol Psychiatry 2023:S0006-3223(23)01759-6. [PMID: 38092185 DOI: 10.1016/j.biopsych.2023.11.027] [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: 06/29/2023] [Revised: 11/20/2023] [Accepted: 11/30/2023] [Indexed: 02/02/2024]
Abstract
BACKGROUND Hippocampal volume (HV) is sensitive to environmental influences. Under normative conditions in humans, HV increases linearly into childhood and asymptotes in early adulthood. Studies of humans and nonhuman animals have provided evidence of inverse relationships between several measures of stress and HV. METHODS Using structural equation modeling, this study aimed to characterize the relationships of age, basal cortisol, biological sex, and lifetime perceived stress with bilateral HV in a sample of healthy adolescents and adolescents at clinical high risk for psychosis (CHR-P) (N = 571, 43% female; age range = 12-19.9 years). This sample included 469 individuals at CHR-P and 102 healthy comparison participants from the combined baseline cohorts of the second and third NAPLS (North American Prodrome Longitudinal Study). RESULTS A structural model that constrained the individual effects of basal cortisol and perceived stress to single path coefficients, and freely estimated the effects of age and biological sex in group models, optimized model fit and parsimony relative to other candidate models. Significant inverse relationships between basal cortisol and bilateral HV were observed in adolescents at CHR-P and healthy comparison participants. Significant sex differences in bilateral HV were also observed, with females demonstrating smaller HV than males in both groups. CONCLUSIONS Multigroup structural equation modeling revealed heterogeneity in the relationships of age and biological sex with basal cortisol, lifetime perceived stress, and bilateral HV in individuals at CHR-P and healthy comparison participants. Moreover, the findings support previous literature indicating that elevated basal cortisol is a nonspecific risk factor for reduced HV.
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Affiliation(s)
- Katrina Aberizk
- Department of Psychology, Emory University, Atlanta, Georgia.
| | - Jean M Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles, California
| | | | - Tyrone D Cannon
- Departments of Psychology and Psychiatry, Yale University, New Haven, Connecticut
| | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Harvard University, Cambridge, Massachusetts
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San Francisco, California
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - William S Stone
- Department of Psychiatry, Harvard Medical School, Harvard University, Cambridge, Massachusetts
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, California
| | - Scott W Woods
- Departments of Psychology and Psychiatry, Yale University, New Haven, Connecticut
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, Georgia
| | - Benson S Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
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17
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Anglin DM, Espinosa A, Addington J, Cadenhead KS, Cannon TD, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone W, Tsuang M, Woods SW, Walker E, Bearden CE, Ku BS. Association of Childhood Area-Level Ethnic Density and Psychosis Risk Among Ethnoracial Minoritized Individuals in the US. JAMA Psychiatry 2023; 80:1226-1234. [PMID: 37585191 PMCID: PMC10433142 DOI: 10.1001/jamapsychiatry.2023.2841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 02/16/2023] [Accepted: 06/13/2023] [Indexed: 08/17/2023]
Abstract
Importance The protective ethnic density effect hypothesis, which suggests that minoritized individuals who grow up in neighborhoods with a high proportion of ethnoracial minoritized groups are protected from the effects of perceived discrimination, has not been examined among individuals at clinical high risk of psychosis (CHR-P). This level of examination may help identify intervention targets for preventing psychosis among high-risk individuals. Objective To examine the association between area-level ethnic density during childhood, perceived discrimination, and psychosis risk outcomes among ethnoracial minoritized individuals with CHR-P. Design, Setting, and Participants Data were collected as part of the North American Prodrome Longitudinal Study-2 (NAPLS 2) between November 2008 and March 2013. Participants included ethnoracial minoritized youth with CHR-P. Area-level ethnoracial minoritized density pertained to the percent of ethnoracial minoritized individuals within the participant's county during childhood. Generalized mixed-effects models with random intercepts for participants, NAPLS 2 site, and county estimated the associations between area-level ethnic density and the risk of psychosis risk outcomes. Self-reported experience of discrimination was assessed. Mediation analyses computed the indirect association of perceived discrimination in the prospective correlation between ethnic density and psychosis risk outcomes. Analyses took place between December 2021 and June 2023. Main Outcomes and Measures Psychosis risk outcomes included remission, symptomatic, progression, and conversion to psychosis and were assessed throughout 24-month follow-up. Results Of 193 individuals, the mean (SD) age was 17.5 (3.4) years and 113 males (58.5%) were included. Participants self-identified as Asian (29 [15.0%]), Black (57 [29.0%]), Hispanic (any race; 87 [45.0%]), or other (First Nations, Middle Eastern, and interracial individuals; 20 [10.4%]). Greater area-level minoritized density was associated with a lower likelihood of remaining symptomatic (relative risk [RR], 0.54 [95% CI, 0.33-0.89]) and having progressively worsening symptoms (RR, 0.52 [95% CI, 0.32-0.86]) compared with being in remission. More perceived discrimination was associated with a higher risk of staying symptomatic (RR, 1.43 [95% CI, 1.09-1.88]) and progressively worsening (RR, 1.34 [95% CI, 1.02-1.78]) compared with being in remission. Perceived discrimination significantly mediated 21.7% (95% CI, 4.1%-67.0%; P = .02) of the association between area-level minoritized density and the likelihood of being in remission. Conclusions and Relevance This study found that among ethnoracial minority youth with CHR-P, growing up in communities with a greater proportion of ethnically minoritized individuals was associated with remission of psychosis risk symptoms partly through lower levels of perceived discrimination. Understanding how the social environment impacts early psychosis risk may help develop effective interventions to prevent psychosis, especially for vulnerable minoritized youth.
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Affiliation(s)
- Deidre M. Anglin
- Department of Psychology, The City College of New York, City University of New York, New York
- The Graduate Center, City University of New York, New York
| | - Adriana Espinosa
- Department of Psychology, The City College of New York, City University of New York, New York
- The Graduate Center, City University of New York, New York
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | | | - Tyrone D. Cannon
- Department of Psychiatry, Yale University, New Haven, Connecticut
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Barbara A. Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Daniel H. Mathalon
- Department of Psychiatry, University of California, and San Francisco Veterans Affairs Medical Center, San Francisco
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill
| | - William Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Elaine Walker
- Department of Psychology, Emory University, Atlanta, Georgia
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California
- Department of Psychology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California
| | - Benson S. Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
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18
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Denis D, Baran B, Mylonas D, Spitzer C, Raymond N, Talbot C, Kohnke E, Stickgold R, Keshavan M, Manoach DS. NREM sleep oscillations and their relations with sleep-dependent memory consolidation in early course psychosis and first-degree relatives. bioRxiv 2023:2023.10.30.564703. [PMID: 37961668 PMCID: PMC10634996 DOI: 10.1101/2023.10.30.564703] [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] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Sleep spindles are believed to mediate sleep-dependent memory consolidation, particularly when coupled to neocortical slow oscillations. Schizophrenia is characterized by a deficit in sleep spindles that correlates with reduced overnight memory consolidation. Here, we examined sleep spindle activity, slow oscillation-spindle coupling, and both motor procedural and verbal declarative memory consolidation in early course, minimally medicated psychosis patients and non-psychotic first-degree relatives. Using a four-night experimental procedure, we observed significant deficits in spindle density and amplitude in patients relative to controls that were driven by individuals with schizophrenia. Schizophrenia patients also showed reduced sleep-dependent consolidation of motor procedural memory, which correlated with spindle density. Contrary to expectations, there were no group differences in the consolidation of declarative memory on a word pairs task. Nor did the relatives of patients differ in spindle activity or memory consolidation compared with controls, however increased consistency in the timing of SO-spindle coupling were seen in both patient and relatives. Our results extend prior work by demonstrating correlated deficits in sleep spindles and sleep-dependent motor procedural memory consolidation in early course, minimally medicated patients with schizophrenia, but not in first-degree relatives. This is consistent with other work in suggesting that impaired sleep-dependent memory consolidation has some specificity for schizophrenia and is a core feature rather than reflecting the effects of medication or chronicity.
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Affiliation(s)
- Dan Denis
- Department of Psychology, University of York, York, UK
| | - Bengi Baran
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Dimitrios Mylonas
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | | | | | - Christine Talbot
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Erin Kohnke
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Robert Stickgold
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Dara S Manoach
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
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Laitman RS, Keshavan M, Mandel AC. The EASE model for optimum use of clozapine: A clinician perspective. Schizophr Res 2023; 261:203-205. [PMID: 37797361 DOI: 10.1016/j.schres.2023.09.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 08/06/2023] [Accepted: 09/16/2023] [Indexed: 10/07/2023]
Affiliation(s)
- Robert S Laitman
- Bronx Westchester Medical Group, Suite 201, 83 South Bedford Road, Mount Kisco, New York 10549, United States of America.
| | - Matcheri Keshavan
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States of America
| | - Ann C Mandel
- Bronx Westchester Medical Group, Suite 201, 83 South Bedford Road, Mount Kisco, New York 10549, United States of America
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20
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Ku BS, Collins M, Anglin DM, Diomino AM, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Druss BG, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Tsuang MT, Woods SW, Walker EF. Associations between childhood ethnoracial minority density, cortical thickness, and social engagement among minority youth at clinical high-risk for psychosis. Neuropsychopharmacology 2023; 48:1707-1715. [PMID: 37438421 PMCID: PMC10579230 DOI: 10.1038/s41386-023-01649-6] [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: 04/28/2023] [Revised: 06/16/2023] [Accepted: 06/29/2023] [Indexed: 07/14/2023]
Abstract
An ethnoracial minority density (EMD) effect in studies of psychotic spectrum disorders has been observed, whereby the risk of psychosis in ethnoracial minority group individuals is inversely related to the proportion of minorities in their area of residence. The authors investigated the relationships among area-level EMD during childhood, cortical thickness (CT), and social engagement (SE) in clinical high risk for psychosis (CHR-P) youth. Data were collected as part of the North American Prodrome Longitudinal Study. Participants included 244 ethnoracial minoritized (predominantly Hispanic, Asian and Black) CHR-P youth and ethnoracial minoritized healthy controls. Among youth at CHR-P (n = 164), lower levels of EMD during childhood were associated with reduced CT in the right fusiform gyrus (adjusted β = 0.54; 95% CI 0.17 to 0.91) and right insula (adjusted β = 0.40; 95% CI 0.05 to 0.74). The associations between EMD and CT were significantly moderated by SE: among youth with lower SE (SE at or below the median, n = 122), lower levels of EMD were significantly associated with reduced right fusiform gyrus CT (adjusted β = 0.72; 95% CI 0.29 to 1.14) and reduced right insula CT (adjusted β = 0.57; 95% CI 0.18 to 0.97). However, among those with greater SE (n = 42), the associations between EMD and right insula and fusiform gyrus CT were not significant. We found evidence that lower levels of ethnic density during childhood were associated with reduced cortical thickness in regional brain regions, but this association may be buffered by greater levels of social engagement.
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Affiliation(s)
- Benson S Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
| | - Meghan Collins
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Deidre M Anglin
- Department of Psychology, The City College of New York, City University of New York, New York, NY, USA
- The Graduate Center, City University of New York, New York, NY, USA
| | - Anthony M Diomino
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Kristin S Cadenhead
- Department of Psychology, The City College of New York, City University of New York, New York, NY, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Benjamin G Druss
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Matcheri Keshavan
- Harvard Medical School, Departments of Psychiatry at Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, and Massachusetts General Hospital, Boston, MA, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, and San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - William S Stone
- Harvard Medical School, Departments of Psychiatry at Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, and Massachusetts General Hospital, Boston, MA, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Scott W Woods
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, USA
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21
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Green JB, Rodriguez J, Keshavan M, Lizano P, Torous J. Implementing Technologies to Enhance Coordinated Specialty Care Framework: Implementation Outcomes From a Development and Usability Study. JMIR Form Res 2023; 7:e46491. [PMID: 37788066 PMCID: PMC10582803 DOI: 10.2196/46491] [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] [Received: 02/13/2023] [Accepted: 08/08/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Coordinated specialty care (CSC) has demonstrated efficacy in improving outcomes in individuals at clinical high risk for psychosis and individuals with first-episode psychosis. Given the limitations of scalability and staffing needs, the augmentation of services using digital mental health interventions (DMHIs) may be explored to help support CSC service delivery. OBJECTIVE In this study, we aimed to understand the methods to implement and support technology in routine CSC and offered insights from a quality improvement study assessing the implementation outcomes of DMHIs in CSC. METHODS Patients and clinicians including psychiatrists, therapists, and supported education and employment specialists from a clinical-high-risk-for-psychosis clinic (Center for Early Detection Assessment and Response to Risk [CEDAR]) and a first-episode-psychosis clinic (Advancing Services for Psychosis Integration and Recovery [ASPIRE]) participated in a quality improvement project exploring the feasibility of DMHIs following the Access, Alignment, Connection, Care, and Scalability framework to implement mindLAMP, a flexible and evidenced-based DMHI. Digital navigators were used at each site to assist clinicians and patients in implementing mindLAMP. To explore the differences in implementation outcomes associated with the app format, a menu-style format was delivered at CEDAR, and a modular approach was used at ASPIRE. Qualitative baseline and follow-up data were collected to assess the specific implementation outcomes. RESULTS In total, 5 patients (ASPIRE: n=3, 60%; CEDAR: n=2, 40%) were included: 3 (60%) White individuals, 2 (40%) male and 2 (40%) female patients, and 1 (20%) transgender man, with a mean age of 19.6 (SD 2.05) years. Implementation outcome data revealed that patients and clinicians demonstrated high accessibility, acceptability, interest, and belief in the sustainability of DMHIs. Clinicians and patients presented a wide range of interest in unique use cases of DMHI in CSC and expressed variable feasibility and appropriateness associated with nuanced barriers and needs. In addition, the results suggest that adoption, penetration, feasibility, and appropriateness outcomes were moderate and might continue to be explored and targeted. CONCLUSIONS Implementation outcomes from this project suggest the need for a patient- and clinician-centered approach that is guided by digital navigators and provides versatility, autonomy, and structure. Leveraging these insights has the potential to build on growing research regarding the need for versatility, autonomy, digital navigator support, and structured applications. We anticipate that by continuing to research and improve implementation barriers impeding the adoption and penetration of DMHIs in CSC, accessibility and uptake of DMHIs will improve, therefore connecting patients to the demonstrated benefits of technology-augmented care.
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Affiliation(s)
- James B Green
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
- Brookline Center for Community Mental Health, Brookline, MA, United States
| | - Joey Rodriguez
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Matcheri Keshavan
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Paulo Lizano
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - John Torous
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
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22
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Zhang Z, Yang H, Guo Y, Bolo NR, Keshavan M, DeRosa E, Anderson AK, Alsop DC, Yin L, Dai W. Affine image registration of arterial spin labeling MRI using deep learning networks. Neuroimage 2023; 279:120303. [PMID: 37536525 DOI: 10.1016/j.neuroimage.2023.120303] [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] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 08/05/2023] Open
Abstract
Convolutional neural networks (CNN) have demonstrated good accuracy and speed in spatially registering high signal-to-noise ratio (SNR) structural magnetic resonance imaging (sMRI) images. However, some functional magnetic resonance imaging (fMRI) images, e.g., those acquired from arterial spin labeling (ASL) perfusion fMRI, are of intrinsically low SNR and therefore the quality of registering ASL images using CNN is not clear. In this work, we aimed to explore the feasibility of a CNN-based affine registration network (ARN) for registration of low-SNR three-dimensional ASL perfusion image time series and compare its performance with that from the state-of-the-art statistical parametric mapping (SPM) algorithm. The six affine parameters were learned from the ARN using both simulated motion and real acquisitions from ASL perfusion fMRI data and the registered images were generated by applying the transformation derived from the affine parameters. The speed and registration accuracy were compared between ARN and SPM. Several independent datasets, including meditation study (10 subjects × 2), bipolar disorder study (26 controls, 19 bipolar disorder subjects), and aging study (27 young subjects, 33 older subjects), were used to validate the generality of the trained ARN model. The ARN method achieves superior image affine registration accuracy (total translation/total rotation errors of ARN vs. SPM: 1.17 mm/1.23° vs. 6.09 mm/12.90° for simulated images and reduced MSE/L1/DSSIM/Total errors of 18.07% / 19.02% / 0.04% / 29.59% for real ASL test images) and 4.4 times (ARN vs. SPM: 0.50 s vs. 2.21 s) faster speed compared to SPM. The trained ARN can be generalized to align ASL perfusion image time series acquired with different scanners, and from different image resolutions, and from healthy or diseased populations. The results demonstrated that our ARN markedly outperforms the iteration-based SPM both for simulated motion and real acquisitions in terms of registration accuracy, speed, and generalization.
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Affiliation(s)
- Zongpai Zhang
- Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA
| | - Huiyuan Yang
- Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA
| | - Yanchen Guo
- Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA
| | - Nicolas R Bolo
- Department of Psychiatry, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA 02215, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA 02215, USA
| | - Eve DeRosa
- Department of Psychology, Cornell University, Ithaca, NY 14850, USA
| | - Adam K Anderson
- Department of Psychology, Cornell University, Ithaca, NY 14850, USA
| | - David C Alsop
- Department of Radiology, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA 02215, USA
| | - Lijun Yin
- Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA
| | - Weiying Dai
- Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA.
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23
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Raymond N, Reinhart RMG, Trotti R, Parker D, Grover S, Turkozer B, Sabatinelli D, Hegde R, Bannai D, Hoang D, Gandu S, Clementz B, Keshavan M, Lizano P. A pilot study to investigate the efficacy and tolerability of lesion network guided transcranial electrical stimulation in outpatients with psychosis spectrum illness. Asian J Psychiatr 2023; 88:103750. [PMID: 37633159 PMCID: PMC10591953 DOI: 10.1016/j.ajp.2023.103750] [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: 07/26/2023] [Revised: 08/09/2023] [Accepted: 08/17/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND Transcranial electrical stimulation (tES) may improve psychosis symptoms, but few investigations have targeted brain regions causally linked to psychosis symptoms. We implemented a novel montage targeting the extrastriate visual cortex (eVC) previously identified by lesion network mapping in the manifestation of visual hallucinations. OBJECTIVE To determine if lesion network guided High Definition-tES (HD-tES) to the eVC is safe and efficacious in reducing symptoms related to psychosis. METHODS We conducted a single-blind crossover pilot study (NCT04870710) in patients with psychosis spectrum disorders. Participants first received HD-tDCS (direct current), followed by 4 weeks of wash out, then 2 Hz HD-tACS (alternating current). Participants received 5 days of daily (2×20 min) stimulation bilaterally to the eVC. Primary outcomes included the Positive and Negative Syndrome Scale (PANSS), biological motion task, and Event Related Potentials (ERP) from a steady state visual evoked potential (SSVEP) paradigm. Secondary outcomes included the Montgomery-Asperg Depression Rating Scale, Global Assessment of Functioning (GAF), velocity discrimination and visual working memory task, and emotional ERP. RESULTS HD-tDCS improved PANSS general psychopathology in the short-term (d=0.47; pfdr=0.03), with long-term improvements in general psychopathology (d=0.62; pfdr=0.05) and GAF (d=-0.56; pfdr=0.04) with HD-tACS. HD-tDCS reduced SSVEP P1 (d=0.25; pfdr=0.005), which correlated with general psychopathology (β = 0.274, t = 3.59, p = 0.04). No significant differences in safety or tolerability measures were identified. CONCLUSION Lesion network guided HD-tES to the eVC is a safe, efficacious, and promising approach for reducing general psychopathology via changes in neuroplasticity. These results highlight the need for larger clinical trials implementing novel targeting methodologies for the treatments of psychosis.
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Affiliation(s)
- Nicolas Raymond
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Robert M G Reinhart
- Department of Psychological and Brain Science, Boston University, Boston, MA, USA
| | - Rebekah Trotti
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - David Parker
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Shrey Grover
- Department of Psychological and Brain Science, Boston University, Boston, MA, USA
| | - Bilge Turkozer
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Massachusetts General Hospital and McLean Hospital, MA, USA
| | - Dean Sabatinelli
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Rachal Hegde
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Deepthi Bannai
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Dung Hoang
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Swetha Gandu
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Brett Clementz
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Paulo Lizano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA.
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24
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Ferrara M, Guloksuz S, Hazan H, Li F, Tek C, Sykes LY, Riley S, Keshavan M, Srihari VH. The effect of duration of untreated psychosis (DUP) on the risk for hospitalization after admission to a first episode service. Schizophr Res 2023; 260:198-204. [PMID: 37688984 DOI: 10.1016/j.schres.2023.08.005] [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: 02/13/2023] [Revised: 08/08/2023] [Accepted: 08/09/2023] [Indexed: 09/11/2023]
Abstract
Engagement with a first episode-psychosis service (FES) reduces the risk of psychiatric hospitalization. However, the role of the duration of untreated psychosis (DUP) in impacting this outcome is disputed. This study aimed to examine whether DUP was an effect modifier of the post-FES reduction of risk of hospitalization, and to explore associations between patients' characteristics and hospitalization post-FES. Individuals aged 16-35 with recent onset (< 3 years) of non-affective psychosis, admitted to the Program for Specialized Treatment Early in Psychosis (STEP), a FES serving the Greater New Haven area, Connecticut, between 2014 and 2019 were included (N = 189). Medical records were queried from 2013 through 2020 for number and duration of psychiatric hospitalizations. Poisson regression models were used to estimate incidence rate ratios for hospitalization rates across all explanatory variables. Negative binomial regression was used to compare the length of stay (LOS) before vs after STEP enrollment. STEP admission was associated with a significant 90 % reduction in the frequency and duration of hospitalizations. This effect was moderated by DUP: with 30-day prolongations in components of DUP (supply, demand, and total) there was less reduction in hospitalizations and LOS after FES enrollment (p < .0001). Only DUP supply (time from first antipsychotic use to STEP admission) differentiated those who were hospitalized during the first year after STEP enrollment from those who were not (median: 35 vs. 15 weeks, p = .003). To fully harness the positive impact of FES on hospitalization, a detailed effort should be pursued to reduce all DUP components.
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Affiliation(s)
- Maria Ferrara
- Yale University School of Medicine, Department of Psychiatry, New Haven, CT, United States of America; University of Ferrara, Department of Neuroscience and Rehabilitation, Ferrara, Italy.
| | - Sinan Guloksuz
- Yale University School of Medicine, Department of Psychiatry, New Haven, CT, United States of America; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Center, Maastricht, The Netherlands
| | - Hadar Hazan
- Yale University School of Medicine, Department of Psychiatry, New Haven, CT, United States of America
| | - Fangyong Li
- Yale Center for Analytical Sciences (YCAS), Yale School of Public Health, New Haven, CT, United States of America
| | - Cenk Tek
- Yale University School of Medicine, Department of Psychiatry, New Haven, CT, United States of America
| | - Laura Yoviene Sykes
- Yale University School of Medicine, Department of Psychiatry, New Haven, CT, United States of America
| | - Sarah Riley
- Yale University School of Medicine, Department of Psychiatry, New Haven, CT, United States of America
| | - Matcheri Keshavan
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States of America
| | - Vinod H Srihari
- Yale University School of Medicine, Department of Psychiatry, New Haven, CT, United States of America
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25
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Worthington MA, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, Keshavan M, Lympus CA, Mathalon DH, Perkins DO, Stone WS, Walker EF, Woods SW, Zhao Y, Cannon TD. Dynamic Prediction of Outcomes for Youth at Clinical High Risk for Psychosis: A Joint Modeling Approach. JAMA Psychiatry 2023; 80:1017-1025. [PMID: 37531131 PMCID: PMC10398543 DOI: 10.1001/jamapsychiatry.2023.2378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 02/10/2023] [Accepted: 05/03/2023] [Indexed: 08/03/2023]
Abstract
Importance Leveraging the dynamic nature of clinical variables in the clinical high risk for psychosis (CHR-P) population has the potential to significantly improve the performance of outcome prediction models. Objective To improve performance of prediction models and elucidate dynamic clinical profiles using joint modeling to predict conversion to psychosis and symptom remission. Design, Setting, and Participants Data were collected as part of the third wave of the North American Prodrome Longitudinal Study (NAPLS 3), which is a 9-site prospective longitudinal study. Participants were individuals aged 12 to 30 years who met criteria for a psychosis-risk syndrome. Clinical, neurocognitive, and demographic variables were collected at baseline and at multiple follow-up visits, beginning at 2 months and up to 24 months. An initial feature selection process identified longitudinal clinical variables that showed differential change for each outcome group across 2 months. With these variables, a joint modeling framework was used to estimate the likelihood of eventual outcomes. Models were developed and tested in a 10-fold cross-validation framework. Clinical data were collected between February 2015 and November 2018, and data were analyzed from February 2022 to December 2023. Main Outcomes and Measures Prediction models were built to predict conversion to psychosis and symptom remission. Participants met criteria for conversion if their positive symptoms reached the fully psychotic range and for symptom remission if they were subprodromal on the Scale of Psychosis-Risk Symptoms for a duration of 6 months or more. Results Of 488 included NAPLS 3 participants, 232 (47.5%) were female, and the mean (SD) age was 18.2 (3.4) years. Joint models achieved a high level of accuracy in predicting conversion (balanced accuracy [BAC], 0.91) and remission (BAC, 0.99) compared with baseline models (conversion: BAC, 0.65; remission: BAC, 0.60). Clinical variables that showed differential change between outcome groups across a 2-month span, including measures of symptom severity and aspects of functioning, were also identified. Further, intra-individual risks for each outcome were more negatively correlated when using joint models (r = -0.92; P < .001) compared with baseline models (r = -0.50; P < .001). Conclusions and Relevance In this study, joint models significantly outperformed baseline models in predicting both conversion and remission, demonstrating that monitoring short-term clinical change may help to parse heterogeneous dynamic clinical trajectories in a CHR-P population. These findings could inform additional study of targeted treatment selection and could move the field closer to clinical implementation of prediction models.
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Affiliation(s)
| | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Department of Psychology, University of California, Los Angeles
| | | | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston
| | - Cole A. Lympus
- Department of Psychology, Rutgers University, New Brunswick, New Jersey
| | - Daniel H. Mathalon
- Department of Psychiatry, San Francisco VA Medical Center, University of California, San Francisco
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston
| | - Elaine F. Walker
- Department of Psychology, Emory University, Atlanta, Georgia
- Department of Psychiatry, Emory University, Atlanta, Georgia
| | - Scott W. Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Yize Zhao
- Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut
| | - Tyrone D. Cannon
- Department of Psychology, Yale University, New Haven, Connecticut
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
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26
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Kang IC, Pasternak O, Zhang F, Penzel N, Seitz-Holland J, Tang Y, Zhang T, Xu L, Li H, Keshavan M, Whitfield-Gabrielli S, Niznikiewicz M, Stone W, Wang J, Shenton M. Microstructural Cortical Gray Matter Changes Preceding Accelerated Volume Changes in Individuals at Clinical High Risk for Psychosis. Res Sq 2023:rs.3.rs-3179575. [PMID: 37841868 PMCID: PMC10571628 DOI: 10.21203/rs.3.rs-3179575/v1] [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] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Recent studies show that accelerated cortical gray matter (GM) volume reduction seen in anatomical MRI can help distinguish between individuals at clinical high risk (CHR) for psychosis who will develop psychosis and those who will not. This reduction is thought to result from an accumulation of microstructural changes, such as decreased spine density and dendritic arborization. Detecting the microstructural sources of these changes before they accumulate is crucial, as volume reduction likely indicates an underlying neurodegenerative process. Our study aimed to detect these microstructural GM alterations using diffusion MRI (dMRI). We tested for baseline and longitudinal group differences in anatomical and dMRI data from 160 individuals at CHR and 96 healthy controls (HC) acquired in a single imaging site. Eight cortical lobes were examined for GM volume and GM microstructure. A novel dMRI measure, interstitial free water (iFW), was used to quantify GM microstructure by eliminating cerebrospinal fluid contribution. Additionally, we assessed whether these measures differentiated the 33 individuals at CHR who developed psychosis (CHR-P) from the 127 individuals at CHR who did not (CHR-NP). At baseline the CHR group had significantly higher iFW than HC in the prefrontal, temporal, parietal, and occipital lobes, while volume was reduced only in the temporal lobe. Neither iFW nor volume differentiated between the CHR-P and CHR-NP groups at baseline. However, in most brain areas, the CHR-P group demonstrated significantly accelerated iFW increase and volume reduction with time than the CHR-NP group. Our results demonstrate that microstructural GM changes in individuals at CHR have a wider extent than volumetric changes and they predate the acceleration of brain changes that occur around psychosis onset. Microstructural GM changes are thus an early pathology at the prodromal stage of psychosis that may be useful for early detection and a better mechanistic understanding of psychosis development.
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Affiliation(s)
| | | | | | | | - Johanna Seitz-Holland
- Brigham and Women's Hospital and Massachusetts General Hospital, Harvard Medical School
| | - Yingying Tang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine
| | - Tianhong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | | | | | | | | | | | | | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine
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27
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Aberizk K, Sefik E, Addington J, Anticevic A, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Tsuang MT, Woods SW, Walker EF. Hippocampal Connectivity with the Default Mode Network is Linked to Hippocampal Volume in the Clinical High Risk for Psychosis Syndrome and Healthy Individuals. Clin Psychol Sci 2023; 11:801-818. [PMID: 37981950 PMCID: PMC10656030 DOI: 10.1177/21677026221138819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
Reduced hippocampal volume (HV) is an established brain morphological feature of psychiatric conditions. HV is associated with brain connectivity in humans and non-human animals and altered connectivity is associated with risk for psychiatric illness. Associations between HV and connectivity remain poorly characterized in humans, and especially in phases of psychiatric illness that precede disease onset. This study examined associations between HV and hippocampal functional connectivity (FC) during rest in 141 healthy controls and 248 individuals at-risk for psychosis. Significant inverse associations between HV and hippocampal FC with the inferior parietal lobe (IPL) and thalamus were observed. Select associations between hippocampal FC and HV were moderated by diagnostic group. Significant moderation results shifted from implicating the IPL to the temporal pole after excluding participants on antipsychotic medication. Considered together, this work implicates hippocampal FC with the temporoparietal junction, within a specialized subsystem of the default mode network, as sensitive to HV.
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Affiliation(s)
- Katrina Aberizk
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Esra Sefik
- Department of Psychology, Emory University, Atlanta, GA, USA
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Alan Anticevic
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles, CA, USA
| | | | | | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Harvard University, Cambridge, MA, USA
| | - Daniel H. Mathalon
- Department of Psychiatry, University of California, San Francisco, CA, USA
- San Francisco VA Medical Center, San Francisco, CA, USA
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School, Harvard University, Cambridge, MA, USA
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
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Davis BJ, Fenley A, Sanders A, Ipekci B, Thibeau H, Khan T, Shashidhar G, Keshavan M, Kline E. Development of the motivational interviewing for loved ones skills assessment (MILO-SA). Early Interv Psychiatry 2023; 17:792-797. [PMID: 36638835 PMCID: PMC10627348 DOI: 10.1111/eip.13376] [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: 03/18/2022] [Revised: 09/19/2022] [Accepted: 01/02/2023] [Indexed: 01/15/2023]
Abstract
AIM Expressed emotion of family members is a key target for intervention for bettering psychosocial outcomes for transitional-age youth experiencing mental health crises. Motivational Interviewing for Loved Ones (MILO) seeks to reduce expressed emotion by teaching parents motivational interviewing skills such as taking a non-judgmental stance, exploring their loved one's thoughts and feelings, expressing optimism and confidence, and avoiding taking an expert role. This report details the creation of the Motivational Interviewing for Loved Ones- Skills Assessment (MILO-SA), its psychometric properties, and convergent validity with other measures of motivational interviewing adeptness. METHODS Our sample (n = 54) consisted of baseline assessments from parents participating in a pilot study of MILO. Parents were assessed for baseline knowledge of motivational interviewing as well as MILO skills with the MILO-SA and a traditional assessment clinician application of motivational interviewing skills. RESULTS We found that the MILO-SA displayed high interrater reliability (k = 0.81), and convergent validity with motivational interviewing knowledge (r = 0.32) as well as traditional assessments of clinician adeptness applying motivational interviewing skills (r = 0.67). CONCLUSIONS Our findings suggest that the MILO-SA has strong psychometric properties and is a useful tool for assessing parent acquisition of motivational interviewing skills. Specifically, the MILO-SA can be used in future studies focused on teaching non-clinicians motivational interviewing skills.
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Affiliation(s)
- Beshaun J. Davis
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Alicia Fenley
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Aliyah Sanders
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
| | - Bediha Ipekci
- Department of Psychiatry, Boston Medical Center, Boston, Massachusetts, USA
| | - Heather Thibeau
- Department of Psychiatry, Boston Medical Center, Boston, Massachusetts, USA
| | - Tabinda Khan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Gautami Shashidhar
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Emily Kline
- Department of Psychiatry, Boston Medical Center, Boston, Massachusetts, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts, USA
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Tronick LN, Mirzakhanian H, Addington J, Bearden CE, Cannon TD, Cornblatt BA, Keshavan M, Mathalon DH, McGlashan TH, Perkins DO, Stone W, Tsuang MT, Walker EF, Woods SW, Cadenhead KS. Risk of violent behaviour in young people at clinical high risk for psychosis from the North American Prodrome Longitudinal Studies consortium. Early Interv Psychiatry 2023; 17:759-770. [PMID: 36627192 DOI: 10.1111/eip.13369] [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: 06/02/2022] [Revised: 10/23/2022] [Accepted: 01/01/2023] [Indexed: 01/12/2023]
Abstract
AIM Although violent behaviour has been studied in schizophrenia, violence risk has received little attention in individuals at clinical high risk for psychosis (CHR). This manuscript aims to report and discuss the overall results of the Structured Assessment for Violence Risk in Youth (SAVRY) from the NAPLS-3 project to explore the risk of violence in CHR youth and to determine the relationship between SAVRY violence risk scores, psychosis risk symptoms, and global functioning. We hypothesized that CHR young people are at higher risk of violence as compared to healthy comparison participants due to a similarity between risk factors for psychosis and risk factors for violence, and that this risk is associated with greater severity of symptoms, poor functioning, and risk for conversion to psychosis. METHODS Participants from the North American Prodrome Longitudinal Study consortium phase 3 (NAPLS-3) included 684 CHR and 96 HC. Assessments included the Structural Assessment of Violence Risk in Youth (SAVRY), clinical and functional measures. RESULTS The majority of participants across groups were deemed to be at low risk for violence. There were significantly more CHR participants (29.8%) who had moderate or high scores on the SAVRY Summary Risk Rating compared to HC participants (3.1%). Low versus moderate-high SAVRY scores were associated with better social (p < .005) and role (p < .002) functioning and fewer positive (p < .002), negative (p < .002), disorganized (p < .01) and general symptoms (p < .002). CHR participants with higher SAVRY scores were more likely to be diagnosed with borderline personality disorder, ADHD and substance misuse. Among CHR, overall violence risk was not associated with conversion to psychosis. However, those who converted to psychosis scored lower on the protective factors index, primarily driven by less prosocial involvement and fewer resilient personality traits. CONCLUSIONS This is the first study to assess violence risk in CHR adolescents. Violence risk factors overlap with risk factors for psychosis in general, perhaps accounting for the association. These findings have implications for intervention efforts to reduce violence risk and bolster resiliency in CHR youth.
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Affiliation(s)
- Lauren N Tronick
- School of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Heline Mirzakhanian
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA
- Department of Psychology, Yale University, New Haven, Connecticut, USA
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York, USA
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San Francisco, California, USA
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA
| | - William Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Elaine F Walker
- Department of Psychology, Emory College of Arts and Sciences, Atlanta, Georgia, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
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Jester DJ, Thomas ML, Sturm ET, Harvey PD, Keshavan M, Davis BJ, Saxena S, Tampi R, Leutwyler H, Compton MT, Palmer BW, Jeste DV. Review of Major Social Determinants of Health in Schizophrenia-Spectrum Psychotic Disorders: I. Clinical Outcomes. Schizophr Bull 2023; 49:837-850. [PMID: 37022779 PMCID: PMC10318890 DOI: 10.1093/schbul/sbad023] [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: 04/07/2023]
Abstract
BACKGROUND Social determinants of health (SDoHs) are receiving growing attention and are particularly relevant to persons with schizophrenia-spectrum psychotic disorders (SSPDs), considering their heightened risk of comorbidities, cognitive and functional decline, and early mortality. Yet, we did not find any comprehensive review of multiple SDoHs in SSPD. STUDY DESIGN We conducted a scoping review of meta-analyses and systematic reviews of nine major SDoHs in SSPD. STUDY RESULTS Childhood abuse, parental psychopathology, parental communication problems, bullying, and urban settings with lower socioeconomic status were major risk factors for the greater incidence of SSPD and/or worse health. Social network size was inversely associated with overall psychopathology and negative symptoms. Experiences of racial/ethnic discrimination correlated with the prevalence of psychotic symptoms and experiences. Compared to native populations, the risk of psychosis was higher in immigrants, refugees, and asylees. Social fragmentation was associated with an increased prevalence of schizophrenia. Homeless populations had a 30-fold higher prevalence of schizophrenia than the general population. Seriously mentally ill people were 2.7 times more likely to report food insecurity than controls. The prevalence of non-affective psychosis in prisoners was 2.0%-6.5%, compared to 0.3% in the general population. Certain potentially positive factors like family and community resilience remain poorly studied. CONCLUSIONS SDoHs are associated with higher rates of and worse outcomes in SSPD. Well-designed longitudinal studies are needed to understand SDoHs' contribution to health in persons with SSPD, to develop interventions, and to implement changes in clinical care and public health policies that would reduce adverse health impacts of SDoHs. Positive SDoHs deserve greater attention.
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Affiliation(s)
- Dylan J Jester
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Michael L Thomas
- Department of Psychology, Colorado State University, Fort Collins, CO, USA
| | - Emily T Sturm
- Department of Psychology, Colorado State University, Fort Collins, CO, USA
| | - Philip D Harvey
- Department of Psychiatry, University of Miami Miller School of Medicine, and Research Service, Bruce W. Carter Miami VA Medical Center, Miami, FL, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess medical Center and Harvard Medical School, Boston, MA, USA
| | - Beshaun J Davis
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Shekhar Saxena
- Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Rajesh Tampi
- Department of Psychiatry, Creighton University School of Medicine, Omaha, NE, USA
| | - Heather Leutwyler
- Department of Physiological Nursing, University of California, San Francisco, CA, USA
| | - Michael T Compton
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Barton W Palmer
- Department of Psychiatry, University of California, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Mental Illness Research, Education, and Clinical Center, San Diego, CA, USA
| | - Dilip V Jeste
- Department of Psychiatry, University of California, San Diego, CA, USA
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Levitt JJ, Zhang F, Vangel M, Nestor PG, Rathi Y, Cetin-Karayumak S, Kubicki M, Coleman MJ, Lewandowski KE, Holt DJ, Keshavan M, Bouix S, Öngür D, Breier A, Shenton ME, O'Donnell LJ. The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis. Mol Psychiatry 2023; 28:2301-2311. [PMID: 37173451 DOI: 10.1038/s41380-023-02031-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 09/13/2022] [Revised: 02/13/2023] [Accepted: 03/08/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND Alterations in brain connectivity may underlie neuropsychiatric conditions such as schizophrenia. We here assessed the degree of convergence of frontostriatal fiber projections in 56 young adult healthy controls (HCs) and 108 matched Early Psychosis-Non-Affective patients (EP-NAs) using our novel fiber cluster analysis of whole brain diffusion magnetic resonance imaging tractography. METHODS Using whole brain tractography and our fiber clustering methodology on harmonized diffusion magnetic resonance imaging data from the Human Connectome Project for Early Psychosis we identified 17 white matter fiber clusters that connect frontal cortex (FCtx) and caudate (Cd) per hemisphere in each group. To quantify the degree of convergence and, hence, topographical relationship of these fiber clusters, we measured the inter-cluster mean distances between the endpoints of the fiber clusters at the level of the FCtx and of the Cd, respectively. RESULTS We found (1) in both groups, bilaterally, a non-linear relationship, yielding convex curves, between FCtx and Cd distances for FCtx-Cd connecting fiber clusters, driven by a cluster projecting from inferior frontal gyrus; however, in the right hemisphere, the convex curve was more flattened in EP-NAs; (2) that cluster pairs in the right (p = 0.03), but not left (p = 0.13), hemisphere were significantly more convergent in HCs vs EP-NAs; (3) in both groups, bilaterally, similar clusters projected significantly convergently to the Cd; and, (4) a significant group by fiber cluster pair interaction for 2 right hemisphere fiber clusters (numbers 5, 11; p = .00023; p = .00023) originating in selective PFC subregions. CONCLUSIONS In both groups, we found the FCtx-Cd wiring pattern deviated from a strictly topographic relationship and that similar clusters projected significantly more convergently to the Cd. Interestingly, we also found a significantly more convergent pattern of connectivity in HCs in the right hemisphere and that 2 clusters from PFC subregions in the right hemisphere significantly differed in their pattern of connectivity between groups.
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Affiliation(s)
- J J Levitt
- Department of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA, 02301, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
| | - F Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - M Vangel
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - P G Nestor
- Department of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA, 02301, USA
- Harvard Medical School, Boston, MA, 02115, USA
- Department of Psychology, University of Massachusetts, Boston, MA, 02125, USA
| | - Y Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - S Cetin-Karayumak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - M Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - M J Coleman
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - K E Lewandowski
- McLean Hospital, Harvard Medical School, Belmont, MA, 02478, USA
| | - D J Holt
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - M Keshavan
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | - S Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Software Engineering and Information Technology, École de technologie supérieure, Université du Québec, Montréal, QC, H3C 1K3, Canada
| | - D Öngür
- McLean Hospital, Harvard Medical School, Belmont, MA, 02478, USA
| | - A Breier
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - M E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - L J O'Donnell
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
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Devoe DJ, Lui L, Cannon TD, Cadenhead KS, Cornblatt BA, Keshavan M, McGlashan TH, Perkins DO, Seidman LJ, Stone WS, Tsuang MT, Woods SW, Walker EF, Mathalon DH, Bearden CE, Addington J. The impact of early factors on persistent negative symptoms in youth at clinical high risk for psychosis. Front Psychiatry 2023; 14:1125168. [PMID: 37293402 PMCID: PMC10244495 DOI: 10.3389/fpsyt.2023.1125168] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 04/18/2023] [Indexed: 06/10/2023] Open
Abstract
Introduction Persistent negative symptoms (PNS) are described as continuing moderate negative symptoms. More severe negative symptoms have been associated with poor premorbid functioning in both chronic schizophrenia and first episode psychosis patients. Furthermore, youth at clinical high risk (CHR) for developing psychosis may also present with negative symptoms and poor premorbid functioning. The aim of this current study was to: (1) define the relationship between PNS and premorbid functioning, life events, trauma and bullying, previous cannabis use, and resource utilization, and (2) to examine what explanatory variables best predicted PNS. Method CHR participants (N = 709) were recruited from the North American Prodrome Longitudinal Study (NAPLS 2). Participants were divided into two groups: those with PNS (n = 67) versus those without PNS (n = 673). A K-means cluster analysis was conducted to distinguish patterns of premorbid functioning across the different developmental stages. The relationships between premorbid adjustment and other variables were examined using independent samples t-tests or chi square for categorical variables. Results There was significantly more males in the PNS group. Participants with PNS had significantly lower levels of premorbid adjustment in childhood, early adolescence, and late adolescence, compared to CHR participants without PNS. There were no differences between the groups in terms of trauma, bullying, and resource utilization. The non-PNS group had more cannabis use and more desirable and non-desirable life events. Conclusion In terms of better understanding relationships between early factors and PNS, a prominent factor associated with PNS was premorbid functioning, in particular poor premorbid functioning in later adolescence.
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Affiliation(s)
- Daniel J. Devoe
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychology, Mount Royal University, Calgary, AB, Canada
| | - Lu Lui
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Tyrone D. Cannon
- Department of Psychology, Yale University, New Haven, CT, United States
| | | | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - Tom H. McGlashan
- Department of Psychiatry, Yale University, New Haven, CT, United States
| | - Diana. O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States
| | - Larry J. Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
- Institute of Genomic Medicine, University of California, San Diego, San Diego, CA, United States
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT, United States
| | - Elaine F. Walker
- Department of Psychology, Emory University, Atlanta, GA, United States
| | - Daniel H. Mathalon
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
- Psychiatry Service, San Francisco, CA, United States
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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Ben-Azu B, del Re EC, VanderZwaag J, Carrier M, Keshavan M, Khakpour M, Tremblay MÈ. Emerging epigenetic dynamics in gut-microglia brain axis: experimental and clinical implications for accelerated brain aging in schizophrenia. Front Cell Neurosci 2023; 17:1139357. [PMID: 37256150 PMCID: PMC10225712 DOI: 10.3389/fncel.2023.1139357] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 04/27/2023] [Indexed: 06/01/2023] Open
Abstract
Brain aging, which involves a progressive loss of neuronal functions, has been reported to be premature in probands affected by schizophrenia (SCZ). Evidence shows that SCZ and accelerated aging are linked to changes in epigenetic clocks. Recent cross-sectional magnetic resonance imaging analyses have uncovered reduced brain reserves and connectivity in patients with SCZ compared to typically aging individuals. These data may indicate early abnormalities of neuronal function following cyto-architectural alterations in SCZ. The current mechanistic knowledge on brain aging, epigenetic changes, and their neuropsychiatric disease association remains incomplete. With this review, we explore and summarize evidence that the dynamics of gut-resident bacteria can modulate molecular brain function and contribute to age-related neurodegenerative disorders. It is known that environmental factors such as mode of birth, dietary habits, stress, pollution, and infections can modulate the microbiota system to regulate intrinsic neuronal activity and brain reserves through the vagus nerve and enteric nervous system. Microbiota-derived molecules can trigger continuous activation of the microglial sensome, groups of receptors and proteins that permit microglia to remodel the brain neurochemistry based on complex environmental activities. This remodeling causes aberrant brain plasticity as early as fetal developmental stages, and after the onset of first-episode psychosis. In the central nervous system, microglia, the resident immune surveillance cells, are involved in neurogenesis, phagocytosis of synapses and neurological dysfunction. Here, we review recent emerging experimental and clinical evidence regarding the gut-brain microglia axis involvement in SCZ pathology and etiology, the hypothesis of brain reserve and accelerated aging induced by dietary habits, stress, pollution, infections, and other factors. We also include in our review the possibilities and consequences of gut dysbiosis activities on microglial function and dysfunction, together with the effects of antipsychotics on the gut microbiome: therapeutic and adverse effects, role of fecal microbiota transplant and psychobiotics on microglial sensomes, brain reserves and SCZ-derived accelerated aging. We end the review with suggestions that may be applicable to the clinical setting. For example, we propose that psychobiotics might contribute to antipsychotic-induced therapeutic benefits or adverse effects, as well as reduce the aging process through the gut-brain microglia axis. Overall, we hope that this review will help increase the understanding of SCZ pathogenesis as related to chronobiology and the gut microbiome, as well as reveal new concepts that will serve as novel treatment targets for SCZ.
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Affiliation(s)
- Benneth Ben-Azu
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Department of Pharmacology, Faculty of Basic Medical Sciences, College of Health Sciences, Delta State University, Abraka, Nigeria
| | - Elisabetta C. del Re
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- VA Boston Healthcare System, Brockton, MA, United States
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Jared VanderZwaag
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Micaël Carrier
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | | | - Marie-Ève Tremblay
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Axe Neurosciences, Centre de Recherche du CHU de Québec, Université Laval, Québec City, QC, Canada
- Department of Biochemistry and Molecular Biology, The University of British Columbia, Vancouver, BC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
- Department of Molecular Medicine, Université Laval, Québec City, QC, Canada
- Centre for Advanced Materials and Related Technology (CAMTEC), Institute on Aging and Lifelong Health (IALH), University of Victoria, Victoria, BC, Canada
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Lewis M, Santini T, Theis N, Muldoon B, Dash K, Rubin J, Keshavan M, Prasad K. Modular architecture and resilience of structural covariance networks in first-episode antipsychotic-naive psychoses. Sci Rep 2023; 13:7751. [PMID: 37173346 PMCID: PMC10181992 DOI: 10.1038/s41598-023-34210-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
Structural covariance network (SCN) studies on first-episode antipsychotic-naïve psychosis (FEAP) have examined less granular parcellations on one morphometric feature reporting lower network resilience among other findings. We examined SCNs of volume, cortical thickness, and surface area using the Human Connectome Project atlas-based parcellation (n = 358 regions) from 79 FEAP and 68 controls to comprehensively characterize the networks using a descriptive and perturbational network neuroscience approach. Using graph theoretical methods, we examined network integration, segregation, centrality, community structure, and hub distribution across the small-worldness threshold range and correlated them with psychopathology severity. We used simulated nodal "attacks" (removal of nodes and all their edges) to investigate network resilience, calculated DeltaCon similarity scores, and contrasted the removed nodes to characterize the impact of simulated attacks. Compared to controls, FEAP SCN showed higher betweenness centrality (BC) and lower degree in all three morphometric features and disintegrated with fewer attacks with no change in global efficiency. SCNs showed higher similarity score at the first point of disintegration with ≈ 54% top-ranked BC nodes attacked. FEAP communities consisted of fewer prefrontal, auditory and visual regions. Lower BC, and higher clustering and degree, were associated with greater positive and negative symptom severity. Negative symptoms required twice the changes in these metrics. Globally sparse but locally dense network with more nodes of higher centrality in FEAP could result in higher communication cost compared to controls. FEAP network disintegration with fewer attacks suggests lower resilience without impacting efficiency. Greater network disarray underlying negative symptom severity possibly explains the therapeutic challenge.
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Affiliation(s)
- Madison Lewis
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3811 O'Hara St, Pittsburgh, PA, 15213, USA
| | - Tales Santini
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3811 O'Hara St, Pittsburgh, PA, 15213, USA
| | - Nicholas Theis
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
| | - Brendan Muldoon
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
| | - Katherine Dash
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3811 O'Hara St, Pittsburgh, PA, 15213, USA
| | - Jonathan Rubin
- Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | - Konasale Prasad
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3811 O'Hara St, Pittsburgh, PA, 15213, USA.
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA.
- Veterans Affairs Pittsburgh Health System, University Drive, Pittsburgh, PA, 15240, USA.
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Cetin-Karayumak S, Lyall AE, Di Biase MA, Seitz-Holland J, Zhang F, Kelly S, Elad D, Pearlson G, Tamminga CA, Sweeney JA, Clementz BA, Schretlen D, Stegmayer K, Walther S, Lee J, Crow T, James A, Voineskos A, Buchanan RW, Szeszko PR, Malhotra AK, Keshavan M, Shenton ME, Rathi Y, Pasternak O, Kubicki M. Characterization of the extracellular free water signal in schizophrenia using multi-site diffusion MRI harmonization. Mol Psychiatry 2023; 28:2030-2038. [PMID: 37095352 DOI: 10.1038/s41380-023-02068-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 06/09/2022] [Revised: 03/06/2023] [Accepted: 04/05/2023] [Indexed: 04/26/2023]
Abstract
Studies applying Free Water Imaging have consistently reported significant global increases in extracellular free water (FW) in populations of individuals with early psychosis. However, these published studies focused on homogenous clinical participant groups (e.g., only first episode or chronic), thereby limiting our understanding of the time course of free water elevations across illness stages. Moreover, the relationship between FW and duration of illness has yet to be directly tested. Leveraging our multi-site diffusion magnetic resonance imaging(dMRI) harmonization approach, we analyzed dMRI scans collected by 12 international sites from 441 healthy controls and 434 individuals diagnosed with schizophrenia-spectrum disorders at different illness stages and ages (15-58 years). We characterized the pattern of age-related FW changes by assessing whole brain white matter in individuals with schizophrenia and healthy controls. In individuals with schizophrenia, average whole brain FW was higher than in controls across all ages, with the greatest FW values observed from 15 to 23 years (effect size range = [0.70-0.87]). Following this peak, FW exhibited a monotonic decrease until reaching a minima at the age of 39 years. After 39 years, an attenuated monotonic increase in FW was observed, but with markedly smaller effect sizes when compared to younger patients (effect size range = [0.32-0.43]). Importantly, FW was found to be negatively associated with duration of illness in schizophrenia (p = 0.006), independent of the effects of other clinical and demographic data. In summary, our study finds in a large, age-diverse sample that participants with schizophrenia with a shorter duration of illness showed higher FW values compared to participants with more prolonged illness. Our findings provide further evidence that elevations in the FW are present in individuals with schizophrenia, with the greatest differences in the FW being observed in those at the early stages of the disorder, which might suggest acute extracellular processes.
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Affiliation(s)
- Suheyla Cetin-Karayumak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Amanda E Lyall
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Maria A Di Biase
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Doron Elad
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | | | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - David Schretlen
- Department of Psychiatry and Behavioral Sciences, Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Katharina Stegmayer
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Jungsun Lee
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Tim Crow
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | - Anthony James
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | | | - Robert W Buchanan
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Philip R Szeszko
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education, and Clinical Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
| | - Anil K Malhotra
- The Feinstein Institutes for Medical Research and Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yogesh Rathi
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marek Kubicki
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Del Re EC, Yassin W, Zeng V, Keedy S, Alliey-Rodriguez N, Ivleva E, Hill S, Rychagov N, McDowell JE, Bishop JR, Mesholam-Gately R, Merola G, Lizano P, Gershon E, Pearlson G, Sweeney JA, Clementz B, Tamminga C, Keshavan M. Characterization of childhood trauma, hippocampal mediation and Cannabis use in a large dataset of psychosis and non-psychosis individuals. Schizophr Res 2023; 255:102-109. [PMID: 36989667 DOI: 10.1016/j.schres.2023.03.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 10/04/2022] [Revised: 03/12/2023] [Accepted: 03/13/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND Cannabis use (CA) and childhood trauma (CT) independently increase the risk of earlier psychosis onset; but their interaction in relation to psychosis risk and association with endocannabinoid-receptor rich brain regions, i.e. the hippocampus (HP), remains unclear. The objective was to determine whether lower age of psychosis onset (AgePsyOnset) is associated with CA and CT through mediation by the HP volumes, and genetic risk, as measured by schizophrenia polygene scores (SZ-PGRS). METHODS Cross-sectional, case-control, multicenter sample from 5 metropolitan US regions. Participants (n = 1185) included 397 controls not affected by psychosis (HC); 209 participants with bipolar disorder type-1; 279 with schizoaffective disorder; and 300 with schizophrenia (DSM IV-TR). CT was assessed using the Childhood Trauma Questionnaire (CTQ); CA was assessed by self-reports and trained clinical interviewers. Assessment included neuroimaging, symptomatology, cognition and calculation of the SZ polygenic risk score (SZ-PGRS). RESULTS In survival analysis, CT and CA exposure interact to be associated with lower AgePsyOnset. At high CT or CA, CT or CA are individually sufficient to affect AgePsyOnset. CT relation with AgePsyOnset is mediated in part by the HP in CA users before AgePsyOnset. CA before AgePsyOnset is associated with higher SZ-PGRS and correlated with younger age at CA usage. DISCUSSION CA and CT interact to increase risk when moderate; while severe CT and/or CA abuse/dependence are each sufficient to affect AgePsyOnset, indicating a ceiling effect. Probands with/out CA before AgePsyOnset differ on biological variables, suggesting divergent pathways to psychosis. FUNDING MH077945; MH096942; MH096913; MH077862; MH103368; MH096900; MH122759.
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Amir CM, Kapler S, Hoftman GD, Kushan L, Zinberg J, Cadenhead KS, Kennedy L, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone W, Tsuang MT, Walker EF, Woods SW, Cannon TD, Addington J, Bearden CE. Neurobehavioral risk factors influence prevalence and severity of hazardous substance use in youth at genetic and clinical high risk for psychosis. Front Psychiatry 2023; 14:1143315. [PMID: 37151981 PMCID: PMC10157227 DOI: 10.3389/fpsyt.2023.1143315] [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: 01/12/2023] [Accepted: 03/31/2023] [Indexed: 05/09/2023] Open
Abstract
Background Elevated rates of alcohol, tobacco, and cannabis use are observed in both patients with psychotic disorders and individuals at clinical high risk for psychosis (CHR-P), and strong genetic associations exist between substance use disorders and schizophrenia. While individuals with 22q11.2 deletion syndrome (22qDel) are at increased genetic risk for psychosis, initial evidence suggests that they have strikingly low rates of substance use. In the current study, we aimed to directly compare substance use patterns and their neurobehavioral correlates in genetic and clinical high-risk cohorts. Methods Data on substance use frequency and severity, clinical symptoms, and neurobehavioral measures were collected at baseline and at 12-month follow-up visits in two prospective longitudinal cohorts: participants included 89 22qDel carriers and 65 age and sex-matched typically developing (TD) controls (40.67% male, Mage = 19.26 ± 7.84 years) and 1,288 CHR-P youth and 371 matched TD controls from the North American Prodrome Longitudinal Study-2 and 3 (55.74% male; Mage = 18.71 ± 4.27 years). Data were analyzed both cross-sectionally and longitudinally using linear mixed effects models. Results Controlling for age, sex, and site, CHR-P individuals had significantly elevated rates of tobacco, alcohol, and cannabis use relative to TD controls, whereas 22qDel had significantly lower rates. Increased substance use in CHR-P individuals was associated with increased psychosis symptom severity, dysphoric mood, social functioning, and IQ, while higher social anhedonia was associated with lower substance use across all domains at baseline. These patterns persisted when we investigated these relationships longitudinally over one-year. CHR-P youth exhibited significantly increased positive psychosis symptoms, dysphoric mood, social functioning, social anhedonia, and IQ compared to 22qDel carriers, and lower rates of autism spectrum disorder (ASD) compared to 22qDel carriers, both at baseline and at 1 year follow-up. Conclusion Individuals at genetic and CHR-P have strikingly different patterns of substance use. Factors such as increased neurodevelopmental symptoms (lower IQ, higher rates of ASD) and poorer social functioning in 22qDel may help explain this distinction from substance use patterns observed in CHR-P individuals.
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Affiliation(s)
- Carolyn M. Amir
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, United States
| | - Simon Kapler
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, United States
| | - Gil D. Hoftman
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, United States
| | - Leila Kushan
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, United States
| | - Jamie Zinberg
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, United States
| | - Kristin S. Cadenhead
- Department of Psychiatry, University of California, San Diego (UCSD), San Diego, CA, United States
| | - Leda Kennedy
- Department of Psychiatry, University of California, San Diego (UCSD), San Diego, CA, United States
| | - Barbara A. Cornblatt
- Department of Psychiatry, Zucker Hillside Hospital, Long Island, NY, United States
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - Daniel H. Mathalon
- Department of Psychiatry, San Francisco Veterans Affairs (SFVA) Medical Center, University of California, San Francisco (UCSF), San Francisco, CA, United States
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States
| | - William Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego (UCSD), San Diego, CA, United States
- Institute of Genomic Medicine, University of California, San Diego, La Jolla, CA, United States
| | - Elaine F. Walker
- Departments of Psychology and Psychiatry, Emory University, Atlanta, GA, United States
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT, United States
| | - Tyrone D. Cannon
- Department of Psychology, Yale University, New Haven, CT, United States
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, United States
- Department of Psychology, University of California, Los Angeles (UCLA), Los Angeles, CA, United States
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Raymond N, Reinhart RMG, Trotti R, Parker D, Grover S, Turkozer B, Sabatinelli D, Hegde R, Bannai D, Gandu S, Clementz B, Keshavan M, Lizano P. Efficacy and Tolerability of Lesion Network Guided Transcranial Electrical Stimulation in Outpatients with Psychosis Spectrum Illness: A Nonrandomized Controlled Trial. medRxiv 2023:2023.03.31.23287980. [PMID: 37066217 PMCID: PMC10104217 DOI: 10.1101/2023.03.31.23287980] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Importance Transcranial electrical stimulation (tES) may improve psychosis symptoms, but few investigations have targeted brain regions causally linked to psychosis symptoms. We implemented a novel montage targeting the extrastriate visual cortex (eVC) previously identified by lesion network mapping in the manifestation of visual hallucinations. Objective To determine if lesion network guided HD-tES to the eVC is safe and efficacious in reducing symptoms related to psychosis. Design Setting and Participants Single-center, nonrandomized, single-blind trial using a crossover design conducted in two 4-week phases beginning November 2020, and ending January 2022. Participants were adults 18-55 years of age with a diagnosis of schizophrenia, schizoaffective or psychotic bipolar disorder as confirmed by the Structured Clinical Interview for DSM-V, without an antipsychotic medication change for at least 4 weeks. A total of 8 participants consented and 6 participants enrolled. Significance threshold set to <0.1 due to small sample size. Interventions 6 Participants first received HD-tDCS (direct current), followed by 4 weeks of wash out, then 4 received 2Hz HD-tACS (alternating current). Participants received 5 consecutive days of daily (2 × 20min) stimulation applied bilaterally to the eVC. Main Outcomes and Measures Primary outcomes included the Positive and Negative Syndrome Scale (PANSS) total, positive, negative, and general scores, biological motion task, and Event Related Potential (ERP) measures obtained from a steady state visual evoked potential (SSVEP) task across each 4-week phase. Secondary outcomes included the Montgomery-Asperg Depression Rating Scale (MADRS), Global Assessment of Functioning (GAF), velocity discrimination task, visual working memory task, and emotional ERP across each 4-week phase. Results HD-tDCS improved general psychopathology in the short-term (d=0.47; p fdr =0.03), with long-term improvements in general psychopathology (d=0.62; p fdr =0.05) and GAF (d=-0.56; p fdr =0.04) with HD-tACS. HD-tDCS reduced SSVEP P1 (d=0.25; p fdr =0.005), which correlated with general psychopathology (β=0.274, t=3.59, p=0.04). No significant differences in safety or tolerability measures were identified. Conclusions and Relevance Lesion network guided HD-tES to the eVC is a safe, efficacious, and promising approach for reducing general psychopathology via changes in neuroplasticity. These results highlight the need for larger clinical trials implementing novel targeting methodologies for the treatments of psychosis. Trial Registration ClinicalTrials.gov Identifier: NCT04870710. Key Points Question: Is lesion network guided neurostimulation an efficacious, safe, and targeted approach for treating psychosis?Findings: In this single-center, nonrandomized, crossover, single-blind trial of 6 outpatients with psychosis, improvement in general psychopathology was seen in the short-term with HD-tDCS (high-definition transcranial direct current stimulation) and long-term with HD-tACS (alternating current) targeting the extrastriate visual cortex (eVC). HD-tDCS reduced early visual evoked responses which linked to general psychopathology improvements. Overall, both stimulations were well tolerated.Meaning: Study findings suggest that lesion network guided HD-tES to the eVC is a safe, efficacious, and promising approach for reducing general psychopathology via neuroplastic changes.
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Michaels TI, Carrión RE, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Keshavan M, Mathalon DH, McGlashan TH, Perkins DO, Seidman LJ, Stone WS, Tsuang MT, Walker EF, Woods SW, Cornblatt BA. Ethnoracial discrimination and the development of suspiciousness symptoms in individuals at clinical high-risk for psychosis. Schizophr Res 2023; 254:125-132. [PMID: 36857950 PMCID: PMC10106391 DOI: 10.1016/j.schres.2023.02.021] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 01/31/2023] [Accepted: 02/15/2023] [Indexed: 03/03/2023]
Abstract
BACKGROUND AND HYPOTHESIS While individuals at clinical high-risk (CHR) for psychosis experience higher levels of discrimination than healthy controls, it is unclear how these experiences contribute to the etiology of attenuated positive symptoms. The present study examined the association of perceived discrimination with positive symptoms in a cohort from the North American Prodrome Longitudinal Study (NAPLS2). It predicted that CHR individuals will report higher levels of lifetime and past year perceived discrimination related to their race and ethnicity (ethnoracial discrimination) and that this form of discrimination will be significantly associated with baseline positive symptoms. STUDY DESIGN Participants included 686 CHR and 252 healthy controls. The present study examined data from the perceived discrimination (PD) scale, the Brief Core Schema Scale, and the Scale for the Psychosis-Risk Symptoms. Structural equation modeling was employed to examine whether negative schema of self and others mediated the relation of past year ethnoracial PD to baseline suspiciousness symptoms. RESULTS CHR individuals report higher levels of past year and lifetime PD compared to healthy controls. Lifetime ethnoracial PD was associated with suspiciousness and total positive symptoms. Negative schema of self and others scores partially mediated the relation of past year ethnoracial PD to suspiciousness, one of five positive symptom criteria for CHR. CONCLUSIONS For CHR individuals, past year ethnoracial discrimination was associated with negative beliefs about themselves and others, which was associated with suspiciousness. These findings contribute to an emerging literature characterizing the mechanisms by which discrimination contributes to the positive symptoms characterizing the CHR syndrome.
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Affiliation(s)
- Timothy I Michaels
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA; Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
| | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA; Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, USA; Department of Psychology, Yale University, School of Medicine, New Haven, CT, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, USA
| | - Daniel H Mathalon
- VA San Francisco Healthcare System, San Francisco, CA, USA; Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Thomas H McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Larry J Seidman
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, USA
| | - William S Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, USA
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA; Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; Department of Molecular Medicine, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
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Tandon R, Nasrallah H, Keshavan M. Advancing the understanding of the early stages of the schizophrenia syndrome: New opportunities to make a difference. Asian J Psychiatr 2023; 81:103519. [PMID: 36806399 DOI: 10.1016/j.ajp.2023.103519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Affiliation(s)
- Rajiv Tandon
- Department of Psychiatry, WMU Homer Stryker School of Medicine, Kalamazoo, MI, United States of America.
| | - Henry Nasrallah
- Department of Psychiatry, University of Cincinnati Medical School, Cincinnati, OH, United States of America
| | - Matcheri Keshavan
- Department of Psychiatry, BIDMC, Harvard Medical School, Boston, MA, United States of America
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Collins MA, Ji JL, Chung Y, Lympus CA, Afriyie-Agyemang Y, Addington JM, Goodyear BG, Bearden CE, Cadenhead KS, Mirzakhanian H, Tsuang MT, Cornblatt BA, Carrión RE, Keshavan M, Stone WS, Mathalon DH, Perkins DO, Walker EF, Woods SW, Powers AR, Anticevic A, Cannon TD. Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk. Mol Psychiatry 2023; 28:1182-1189. [PMID: 36434057 PMCID: PMC10005940 DOI: 10.1038/s41380-022-01870-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [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: 12/16/2021] [Revised: 10/27/2022] [Accepted: 11/02/2022] [Indexed: 11/27/2022]
Abstract
Progressive grey matter loss has been demonstrated among clinical high-risk (CHR) individuals who convert to psychosis, but it is unknown whether these changes occur prior to psychosis onset. Identifying illness-related neurobiological mechanisms that occur prior to conversion is essential for targeted early intervention. Among participants in the third wave of the North American Prodrome Longitudinal Study (NAPLS3), this report investigated if steeper cortical thinning was observable prior to psychosis onset among CHR individuals who ultimately converted (CHR-C) and assessed the shortest possible time interval in which rates of cortical thinning differ between CHR-C, CHR non-converters (CHR-NC), and health controls (HC). 338 CHR-NC, 42 CHR-C, and 62 HC participants (age 19.3±4.2, 44.8% female, 52.5% racial/ethnic minority) completed up to 5 MRI scans across 8 months. Accelerated thinning among CHR-C compared to CHR-NC and HC was observed in multiple prefrontal, temporal, and parietal cortical regions. CHR-NC also exhibited accelerated cortical thinning compared to HC in several of these areas. Greater percent decrease in cortical thickness was observed among CHR-C compared to other groups across 2.9±1.8 months, on average, in several cortical areas. ROC analyses discriminating CHR-C from CHR-NC by percent thickness change in a left hemisphere region of interest, scanner, age, age2, and sex had an AUC of 0.74, with model predictive power driven primarily by percent thickness change. Findings indicate that accelerated cortical thinning precedes psychosis onset and differentiates CHR-C from CHR-NC and HC across short time intervals. Mechanisms underlying cortical thinning may provide novel treatment targets prior to psychosis onset.
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Affiliation(s)
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
| | - Yoonho Chung
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Belmont, MA, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
| | - Cole A Lympus
- Department of Psychology, Yale University, New Haven, CT, USA
| | | | - Jean M Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Bradley G Goodyear
- Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | | | | | - Ming T Tsuang
- Department of Psychiatry, UCSD, San Diego, CA, USA
- Institute of Genomic Medicine, UCSD, La Jolla, CA, USA
| | | | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Institute of Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Wiliam S Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Daniel H Mathalon
- Department of Psychiatry, UCSF, and SFVA Medical Center, San Francisco, CA, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Elaine F Walker
- Departments of Psychology and Psychiatry, Emory University, Atlanta, GA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Albert R Powers
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Alan Anticevic
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
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42
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Nasrallah HA, Keshavan M. Controversies and knowledge expansion in psychiatry. Asian J Psychiatr 2023; 82:103535. [PMID: 36948919 DOI: 10.1016/j.ajp.2023.103535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Affiliation(s)
- Henry A Nasrallah
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Matcheri Keshavan
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
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43
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Agurto C, Norel R, Wen B, Wei Y, Zhang D, Bilgrami Z, Hsi X, Zhang T, Pasternak O, Li H, Keshavan M, Seidman LJ, Whitfield-Gabrieli S, Shenton ME, Niznikiewicz MA, Wang J, Cecchi G, Corcoran C, Stone WS. Are language features associated with psychosis risk universal? A study in Mandarin-speaking youths at clinical high risk for psychosis. World Psychiatry 2023; 22:157-158. [PMID: 36640384 PMCID: PMC9840499 DOI: 10.1002/wps.21045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/08/2022] [Indexed: 01/15/2023] Open
Affiliation(s)
- Carla Agurto
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Raquel Norel
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Bo Wen
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Yanyan Wei
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dan Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zarina Bilgrami
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Xiaolu Hsi
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Tianhong Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Huijun Li
- Department of Psychology, Florida A&M University, Tallahassee, FL, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Martha E Shenton
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | | | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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44
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Affiliation(s)
- Rajiv Tandon
- Department of Psychiatry, WMU Homer Stryker School of Medicine, Kalamazoo, MI, United States of America.
| | - Matcheri Keshavan
- Department of Psychiatry, BIDMC, Harvard Medical School, Boston, MA, United States of America
| | - Henry Nasrallah
- Department of Psychiatry, University of Cincinnati Medical School, Cincinnati, OH, United States of America
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45
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Cohen A, Naslund JA, Chang S, Nagendra S, Bhan A, Rozatkar A, Thirthalli J, Bondre A, Tugnawat D, Reddy PV, Dutt S, Choudhary S, Chand PK, Patel V, Keshavan M, Joshi D, Mehta UM, Torous J. Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study. Schizophrenia (Heidelb) 2023; 9:6. [PMID: 36707524 PMCID: PMC9880926 DOI: 10.1038/s41537-023-00332-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/13/2023] [Indexed: 01/28/2023]
Abstract
Smartphone technology provides us with a more convenient and less intrusive method of detecting changes in behavior and symptoms that typically precede schizophrenia relapse. To take advantage of the aforementioned, this study examines the feasibility of predicting schizophrenia relapse by identifying statistically significant anomalies in patient data gathered through mindLAMP, an open-source smartphone app. Participants, recruited in Boston, MA in the United States, and Bangalore and Bhopal in India, were invited to use mindLAMP for up to a year. The passive data (geolocation, accelerometer, and screen state), active data (surveys), and data quality metrics collected by the app were then retroactively fed into a relapse prediction model that utilizes anomaly detection. Overall, anomalies were 2.12 times more frequent in the month preceding a relapse and 2.78 times more frequent in the month preceding and following a relapse compared to intervals without relapses. The anomaly detection model incorporating passive data proved a better predictor of relapse than a naive model utilizing only survey data. These results demonstrate that relapse prediction models utilizing patient data gathered by a smartphone app can warn the clinician and patient of a potential schizophrenia relapse.
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Affiliation(s)
- Asher Cohen
- grid.38142.3c000000041936754XDivision of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
| | - John A. Naslund
- grid.38142.3c000000041936754XDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA USA
| | - Sarah Chang
- grid.38142.3c000000041936754XDivision of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
| | - Srilakshmi Nagendra
- grid.416861.c0000 0001 1516 2246Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka India
| | | | - Abhijit Rozatkar
- grid.464753.70000 0004 4660 3923Department of Psychiatry, AIIMS Bhopal, All India Institute of Medical Sciences Bhopal, Bhopal, India
| | - Jagadisha Thirthalli
- grid.416861.c0000 0001 1516 2246Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka India
| | | | | | - Preethi V. Reddy
- grid.416861.c0000 0001 1516 2246Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka India
| | - Siddharth Dutt
- grid.416861.c0000 0001 1516 2246Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka India
| | - Soumya Choudhary
- grid.416861.c0000 0001 1516 2246Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka India
| | - Prabhat Kumar Chand
- grid.416861.c0000 0001 1516 2246Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka India
| | - Vikram Patel
- grid.38142.3c000000041936754XDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA USA
| | - Matcheri Keshavan
- grid.38142.3c000000041936754XDivision of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
| | - Devayani Joshi
- grid.38142.3c000000041936754XDivision of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
| | - Urvakhsh Meherwan Mehta
- grid.416861.c0000 0001 1516 2246Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka India
| | - John Torous
- grid.38142.3c000000041936754XDivision of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
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Tran T, Spilka MJ, Raugh IM, Strauss GP, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Keshavan M, Mathalon DH, McGlashan TH, Perkins DO, Seidman LJ, Stone WS, Tsuang MT, Walker EF, Woods SW, Addington JM. Negative Symptom Trajectories in Individuals at Clinical High Risk for Psychosis: Differences Based on Deficit Syndrome, Persistence, and Transition Status. Schizophr Bull Open 2023; 4:sgad014. [PMID: 37362552 PMCID: PMC10287168 DOI: 10.1093/schizbullopen/sgad014] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Background and Hypothesis Negative symptom trajectory in clinical high risk (CHR) for psychosis is ill defined. This study aimed to better characterize longitudinal patterns of change in negative symptoms, moderators of change, and differences in trajectories according to clinical subgroups. We hypothesized that negative symptom course will be nonlinear in CHR. Clinical subgroups known to be more severe variants of psychotic illness-deficit syndrome (DS), persistent negative syndrome (PNS), and acute psychosis onset-were expected to show more severe baseline symptoms, slower rates of change, and less stable rates of symptom resolution. Study Design Linear, curvilinear, and stepwise growth curve models, with and without moderators, were fitted to negative symptom ratings from the NAPLS-3 CHR dataset (N = 699) and within clinical subgroups. Study Results Negative symptoms followed a downward curvilinear trend, with marked improvement 0-6 months that subsequently stabilized (6-24 months), particularly among those with lower IQ and functioning. Clinical subgroups had higher baseline ratings, but distinct symptom courses; DS vs non-DS: more rapid initial improvement, similar stability of improvements; PNS vs non-PNS: similar rates of initial improvement and stability; transition vs no transition: slower rate of initial improvement, with greater stability of this rate. Conclusions Continuous, frequent monitoring of negative symptoms in CHR is justified by 2 important study implications: (1) The initial 6 months of CHR program enrollment may be a key window for improving negative symptoms as less improvement is likely afterwards, (2) Early identification of clinical subgroups may inform distinct negative symptom trajectories and treatment needs.
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Affiliation(s)
- Tanya Tran
- Department of Psychology, Queen’s University, Kingston, ON, Canada
| | - Michael J Spilka
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Ian M Raugh
- Department of Psychology, University of Georgia, Athens, GA, USA
| | | | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA
| | | | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, USA
| | - Daniel H Mathalon
- Department of Psychiatry, UCSF, and SFVA Medical Center, San Francisco, CA, USA
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Larry J Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, USA
| | - William S Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, USA
| | - Ming T Tsuang
- Department of Psychiatry, UCSD, San Diego, CA, USA
- Institute of Genomic Medicine, University of California, La Jolla, CA, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, USA
- Department of Psychiatry, Emory University, Atlanta, GA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Jean M Addington
- To whom correspondence should be addressed; Department of Psychiatry, Hotchkiss Brain Institute, Mathison Centre for Mental Health Research & Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB T2N 4Z6, Canada; fax: (403) 210-9114; e-mail:
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47
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D'Souza DC, DiForti M, Ganesh S, George TP, Hall W, Hjorthøj C, Howes O, Keshavan M, Murray RM, Nguyen TB, Pearlson GD, Ranganathan M, Selloni A, Solowij N, Spinazzola E. Consensus paper of the WFSBP task force on cannabis, cannabinoids and psychosis. World J Biol Psychiatry 2022; 23:719-742. [PMID: 35315315 DOI: 10.1080/15622975.2022.2038797] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [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: 02/09/2023]
Abstract
OBJECTIVES The liberalisation of cannabis laws, the increasing availability and potency of cannabis has renewed concern about the risk of psychosis with cannabis. METHODS The objective of the WFSBP task force was to review the literature about this relationship. RESULTS Converging lines of evidence suggest that exposure to cannabis increases the risk for psychoses ranging from transient psychotic states to chronic recurrent psychosis. The greater the dose, and the earlier the age of exposure, the greater the risk. For some psychosis outcomes, the evidence supports some of the criteria of causality. However, alternate explanations including reverse causality and confounders cannot be conclusively excluded. Furthermore, cannabis is neither necessary nor sufficient to cause psychosis. More likely it is one of the multiple causal components. In those with established psychosis, cannabis has a negative impact on the course and expression of the illness. Emerging evidence also suggests alterations in the endocannabinoid system in psychotic disorders. CONCLUSIONS Given that exposure to cannabis and cannabinoids is modifiable, delaying or eliminating exposure to cannabis or cannabinoids, could potentially impact the rates of psychosis related to cannabis, especially in those who are at high risk for developing the disorder.
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Affiliation(s)
- Deepak Cyril D'Souza
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA.,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA.,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Marta DiForti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK.,South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Suhas Ganesh
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA.,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA.,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Tony P George
- Addictions Division and Centre for Complex Interventions, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Wayne Hall
- The National Centre for Youth Substance Use Research, University of Queensland, Brisbane, Australia
| | - Carsten Hjorthøj
- Copenhagen Research Center for Mental Health - CORE, Mental Health Center Copenhagen, Copenhagen University, Copenhagen, Denmark.,Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - Oliver Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Institute for Clinical Sciences, Imperial College London, London, UK
| | - Matcheri Keshavan
- Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center, Harvard Medical School, Boston, MA, USA
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Timothy B Nguyen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK.,Institute for Clinical Sciences, Imperial College London, London, UK
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.,Olin Neuropsychiatry Ctr. Institute of Living, Hartford, CT, USA
| | - Mohini Ranganathan
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA.,Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA.,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Alex Selloni
- Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA.,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nadia Solowij
- School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.,Australian Centre for Cannabinoid Clinical and Research Excellence (ACRE), New Lambton Heights, NSW, Australia
| | - Edoardo Spinazzola
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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48
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Bondre AP, Shrivastava R, Raghuram H, Tugnawat D, Khan A, Gupta S, Kumar M, Mehta UM, Keshavan M, Lakhtakia T, Chand PK, Thirthalli J, Patel V, Torous J, Rozatkar AR, Naslund JA, Bhan A. A qualitative exploration of perceived needs and barriers of individuals with schizophrenia, caregivers and clinicians in using mental health applications in Madhya Pradesh, India. SSM Ment Health 2022; 2:100063. [PMID: 36688236 PMCID: PMC9792372 DOI: 10.1016/j.ssmmh.2022.100063] [Citation(s) in RCA: 1] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/27/2021] [Accepted: 01/26/2022] [Indexed: 01/25/2023] Open
Abstract
Introduction About 3.5 million people are living with schizophrenia in India, with most failing to receive minimally adequate care. Digital mental health applications could potentially decrease this treatment gap; however, these applications should be tailored to meet the needs and overcoming barriers of its end-users to ensure their adoption and sustained usage. Few studies in India have explored the perspectives of target stakeholders to understand how digital tools could be viable for supporting care. Therefore, this study explores the perceived needs and barriers of patients with schizophrenia, caregivers and clinicians in using digital mental health applications. Methods Focus group discussions (FGDs) were conducted with patients having schizophrenia attending outpatient clinics at a government tertiary hospital, and their caregivers, and mental health clinicians in Bhopal, Madhya Pradesh, India. FGDs were audio-recorded and coded. Framework analysis was employed to guide the analysis, involving deductive and inductive generation of themes, data triangulation and comparison of perspectives between participant groups. Results Six FGDs were conducted with individuals with schizophrenia (n = 11), their caregivers (n = 14), and mental health clinicians (n = 19). Four a priori themes were established: a) Prior experiences with health applications; b) Content of a mental health application; c) Involvement of caregivers in mental health application usage and d) Supporting doctors' work through mental health applications. Additionally, two themes were generated inductively: a) Qualities of a mental health application and b) Data privacy and confidentiality. Conclusion Exploration of stakeholder perspectives on the content, features, and uses of mental health applications is crucial to yield initial insights about the use of these digital programs in India. This study generated a multitude of suggestions on app functionality and components, which can guide ongoing efforts to develop and deliver digital mental health applications for patients living with schizophrenia in low-resource settings, with limited access to mental health services.
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Affiliation(s)
- Ameya P. Bondre
- Sangath, 120 Deepak Society, Chuna Bhatti, Bhopal, Madhya Pradesh, 462016, India,Corresponding author. 120 Deepak Society: Chuna Bhatti, Bhopal, Madhya Pradesh, 462016, India.
| | - Ritu Shrivastava
- Sangath, 120 Deepak Society, Chuna Bhatti, Bhopal, Madhya Pradesh, 462016, India
| | | | - Deepak Tugnawat
- Sangath, 120 Deepak Society, Chuna Bhatti, Bhopal, Madhya Pradesh, 462016, India
| | - Azaz Khan
- Sangath, 120 Deepak Society, Chuna Bhatti, Bhopal, Madhya Pradesh, 462016, India
| | - Snehil Gupta
- All India Institute of Medical Sciences (AIIMS), Saket Nagar, Bagh Swaniya, Bhopal, Madhya Pradesh, 462020, India
| | - Mohit Kumar
- All India Institute of Medical Sciences (AIIMS), Saket Nagar, Bagh Swaniya, Bhopal, Madhya Pradesh, 462020, India
| | - Urvakhsh Meherwan Mehta
- National Institute of Mental Health and Neurosciences, Hosur Road, Lakkasandra, Wilson Garden, Bengaluru, Karnataka, 560029, India
| | - Matcheri Keshavan
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center (BIDMC), 330 Brookline Ave, Boston, MA, 02215, United States
| | - Tanvi Lakhtakia
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center (BIDMC), 330 Brookline Ave, Boston, MA, 02215, United States
| | - Prabhat Kumar Chand
- National Institute of Mental Health and Neurosciences, Hosur Road, Lakkasandra, Wilson Garden, Bengaluru, Karnataka, 560029, India
| | - Jagadisha Thirthalli
- National Institute of Mental Health and Neurosciences, Hosur Road, Lakkasandra, Wilson Garden, Bengaluru, Karnataka, 560029, India
| | - Vikram Patel
- Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, United States
| | - John Torous
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center (BIDMC), 330 Brookline Ave, Boston, MA, 02215, United States
| | - Abhijit R. Rozatkar
- All India Institute of Medical Sciences (AIIMS), Saket Nagar, Bagh Swaniya, Bhopal, Madhya Pradesh, 462020, India
| | - John A. Naslund
- Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, United States
| | - Anant Bhan
- Sangath, 120 Deepak Society, Chuna Bhatti, Bhopal, Madhya Pradesh, 462016, India
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49
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Barbato M, Liu L, Bearden CE, Cadenhead KS, Cornblatt BA, Keshavan M, Mathalon DH, McGlashan TH, Perkins DO, Seidman LJ, Stone W, Tsuang MT, Walker EF, Woods SW, Cannon TD, Addington J. Migrant status, clinical symptoms and functional outcome in youth at clinical high risk for psychosis: findings from the NAPLS-3 study. Soc Psychiatry Psychiatr Epidemiol 2022; 58:559-568. [PMID: 36348056 DOI: 10.1007/s00127-022-02383-y] [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: 11/25/2021] [Accepted: 10/28/2022] [Indexed: 11/09/2022]
Abstract
PURPOSE Migrant status is a known risk factor for psychosis, but the underlying causes of this vulnerability are poorly understood. Recently, studies have begun to explore whether migrant status predicts transition to psychosis in individuals at clinical high risk (CHR) for psychosis. Results, however, have been inconclusive. The present study assessed the impact of migrant status on clinical symptoms and functional outcome in individuals at CHR for psychosis who took part in the NAPLS-3 study. METHODS Participants' migrant status was classified as native-born, first-generation, or second-generation migrant. Clinical symptoms were assessed using the Structured Interview for Psychosis-Risk Syndromes (SIPS); functional outcome was measured using the Global Functioning Scales:Social and Role (GF:S; GF:R). Assessments were conducted at baseline, 12-months, 18-months, and 24-months follow-up. Generalized linear mixed models for repeated measures were used to examine changes over time and differences between groups. RESULTS The overall sample included 710 individuals at CHR for psychosis (54.2% males; Age: M = 18.19; SD = 4.04). A mixed model analysis was conducted, and no significant differences between groups in symptoms or functioning were observed at any time point. Over time, significant improvement in symptoms and functioning was observed within each group. Transition rates did not differ across groups. CONCLUSION We discuss potential factors that might explain the lack of group differences. Overall, migrants are a heterogeneous population. Discerning the impact of migration from that of neighborhood ethnic density, social disadvantage or socio-economic status of different ethnic groups could help better understand vulnerability and resilience to psychosis.
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Affiliation(s)
- Mariapaola Barbato
- Department of Psychology, College of Natural and Health Sciences, Zayed University, Dubai, UAE
| | - Lu Liu
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | | | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Daniel H Mathalon
- Department of Psychiatry, UCSF, and SFVA Medical Center, San Francisco, CA, USA
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Larry J Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - William Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Ming T Tsuang
- Department of Psychiatry, UCSD, San Diego, CA, USA
- Institute of Genomic Medicine, University of California, La Jolla, CA, USA
| | - Elaine F Walker
- Departments of Psychology and Psychiatry, Emory University, Atlanta, GA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
- Mathison Centre for Mental Health Research & Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
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Farris MS, Braun A, Liu L, Bearden CE, Cadenhead KS, Cornblatt BA, Keshavan M, Mathalon DH, McGlashan TH, Perkins DO, Stone WS, Tsuang MT, Walker EF, Woods SW, Cannon TD, Addington J. Longitudinal impact of trauma in the North American Prodrome Longitudinal Study-3. Early Interv Psychiatry 2022; 16:1211-1216. [PMID: 35152553 PMCID: PMC9374846 DOI: 10.1111/eip.13270] [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: 04/19/2021] [Revised: 11/03/2021] [Accepted: 01/18/2022] [Indexed: 11/30/2022]
Abstract
AIM Individuals at clinical high risk (CHR) for psychosis have been shown to experience more trauma than the general population. However, although the effects of trauma appear to impact some symptoms it does not seem to increase the risk of transition to psychosis. The aim of this article was to examine the prevalence of trauma, and its association with longitudinal clinical and functional outcomes in a large sample of CHR individuals. METHODS From the North American Prodrome Longitudinal Study-3 (NAPLS-3) 690 CHR individuals and 91 healthy controls from nine study sites between 2015 and 2018 were assessed. Historical trauma experiences were captured at baseline. Participants completed longitudinal assessments measuring clinical outcomes including positive and negative symptoms, depression, social and role functioning and assessing transition to psychosis. RESULTS From the 690 CHR participants and 96 healthy controls, 343 (49.6%) and 15 (15.6%), respectively, reported a history of trauma (p < .001). Emotional neglect (70.3%) was the most commonly reported type of trauma, followed by psychological abuse (57.4%). Among CHR participants, time to transition to psychosis was not associated with trauma. Baseline depression and suspiciousness/persecutory ideas were statistically significantly different between CHR individuals who did or did not experience trauma. However, when examining clinical and functional outcomes over 12-months of follow-up, there were no differences between those who experienced trauma and those who did not. CONCLUSION Overall, trauma is a significantly prevalent among CHR individuals. The effects of trauma on transition and longitudinal clinical and functional outcomes were not significant.
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Affiliation(s)
- Megan S. Farris
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Amy Braun
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Lu Liu
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E. Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, CA, United States of America
| | | | - Barbara A. Cornblatt
- Department of Psychiatry, Zucker Hillside Hospital, Long Island, NY, United States of America
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States of America
| | - Daniel H. Mathalon
- Department of Psychiatry, UCSF, and SFVA Medical Center, San Francisco, CA, United States of America
| | - Thomas H. McGlashan
- Department of Psychiatry, Yale University, New Haven, CT, United States of America
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States of America
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States of America
| | - Ming T. Tsuang
- Department of Psychiatry, UCSD, San Diego, CA, United States of America
- Institute of Genomic Medicine, University of California, La Jolla, CA, United States of America
| | - Elaine F. Walker
- Departments of Psychology and Psychiatry, Emory University, Atlanta, GA, United States of America
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT, United States of America
| | - Tyrone D. Cannon
- Department of Psychology, Yale University, New Haven, CT, United States of America
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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