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Wu X, Yang Q, Xie Y, Xia L, Li J, An W, Lu X. Drug-targeted Mendelian randomization analysis combined with transcriptome sequencing to explore the molecular mechanisms associated with cognitive impairment. J Alzheimers Dis 2025:13872877251335891. [PMID: 40267292 DOI: 10.1177/13872877251335891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2025]
Abstract
BackgroundCurrent therapies for cognitive impairment, including Alzheimer's disease (AD) and mild cognitive impairment, are limited by a lack of universal treatment and adverse effects associated with polypharmacy. Investigating genetic and molecular mechanisms underlying cognitive decline is critical for the development of targeted therapeutics.ObjectiveTo identify causal genes and potential therapeutic targets for cognitive impairment through integrative genomic analyses.MethodsGenome-wide association study data on cognitive impairment were combined with the expression quantitative trait loci (eQTL) data from the eQTLGen consortium. Mendelian randomization (MR) and colocalization analyses were employed to infer causal relationships. Gene Set Enrichment Analysis and Gene Set Variation Analysis evaluated the pathway and functional differences. Immune cell infiltration patterns and the immunometabolic pathways were assessed, followed by drug target prediction.ResultsMR analysis identified seven gene-eQTL pairs significantly associated with cognitive impairment. SMR colocalization prioritized three key genes: HNMT (histamine metabolism), TNFSF8 (inflammatory signaling), and S1PR5 (sphingolipid signaling). HNMT, TNFSF8, and S1PR5 had 39, 24, and 30 predicted targeted drugs, respectively, including arsenic trioxide, aspirin, and immunomodulators.ConclusionsThis study implicates HNMT, TNFSF8, and S1PR5 as potential therapeutic targets for cognitive impairment. Further validation is required to confirm their clinical relevance.
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Affiliation(s)
- Xixi Wu
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Nanjing Medical University, Nanjing, China
| | - Qingyan Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Nanjing Medical University, Nanjing, China
| | - Yudi Xie
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Nanjing Medical University, Nanjing, China
| | - Lingfeng Xia
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Nanjing Medical University, Nanjing, China
| | - Jiatao Li
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Nanjing Medical University, Nanjing, China
| | - Wenting An
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Nanjing Medical University, Nanjing, China
| | - Xiao Lu
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Nanjing Medical University, Nanjing, China
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Ou Y, Chen Z, Wang Y, Li H, Liu F, Li P, Lv D, Liu Y, Lang B, Zhao J, Guo W. Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk. BMC Psychiatry 2025; 25:308. [PMID: 40165149 PMCID: PMC11959997 DOI: 10.1186/s12888-025-06747-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2025] [Accepted: 03/19/2025] [Indexed: 04/02/2025] Open
Abstract
BACKGROUND Clinical high-risk (CHR) refers to prodromal phase before schizophrenia onset, characterized by attenuated psychotic symptoms and functional decline. They exhibit similar but milder cognitive impairments, brain abnormalities and eye movement change compared with first-episode schizophrenia (FSZ). These alterations may increase vulnerability to transitioning to the disease. This study explores cognitive-related functional connectivity (FC) and eye movement abnormalities to examine differences in the progression of schizophrenia. METHODS Thirty drug-naive FSZ, 28 CHR, and 30 healthy controls (HCs) were recruited to undergo resting-state functional magnetic resonance imaging (rs-fMRI). Connectome-based predictive modeling (CPM) was employed to extract cognitive-related brain regions, which were then selected as seeds to form FC networks. Support vector machine (SVM) was used to distinguish FSZ from CHR. Smooth pursuit eye-tracking tasks were conducted to assess eye movement features. RESULTS FSZ displayed decreased cognitive-related FC between right posterior cingulate cortex and right superior frontal gyrus compared with HCs and between right amygdala and left inferior parietal gyrus (IPG) compared with CHR. SVM analysis indicated a combination of BACS-SC and CFT-A scores, and FC between right amygdala and left IPG could serve as a potential biomarker for distinguishing FSZ from CHR with high sensitivity. FSZ also exhibited a wide range of eye movement abnormalities compared with HCs, which were associated with alterations in cognitive-related FC. CONCLUSIONS FSZ and CHR exhibited different patterns of cognitive-related FC and eye movement alteration. Our findings illustrate potential neuroimaging and cognitive markers for early identification of psychosis that could help in the intervention of schizophrenia in high-risk groups.
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Affiliation(s)
- Yangpan Ou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Zhaobin Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Ying Wang
- Department of Mental Health Center of Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300000, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, 161006, Heilongjiang, China
| | - Dongsheng Lv
- Center of Mental Health, Inner Mongolia Autonomous Region, Hohhot, 010010, China
| | - Yong Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Bing Lang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Jingping Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
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3
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Allott K, Yassin W, Alameda L, Billah T, Borders O, Buccilli K, Carrión RE, Castillo-Passi RI, Cho KIK, Chin K, Coleman MJ, Colton BL, Corral S, Dwyer D, Gundersen KB, Gur RC, Hoftman GD, Jacobs GR, Kelly S, Lewandowski KE, Marcy PJ, Matneja P, McLaughlin D, Nunez AR, Parsa S, Penzel N, Ray S, Reinen JM, Ruparel K, Sand MS, Santorelli G, Seitz-Holland J, Spark J, Tamayo Z, Thompson A, Tod S, Wannan CMJ, Wickham A, Wood SJ, Zoupou E, Addington J, Anticevic A, Arango C, Breitborde NJK, Broome MR, Cadenhead KS, Calkins ME, Chen EYH, Choi J, Conus P, Corcoran CM, Cornblatt BA, Ellman LM, Fusar-Poli P, Gaspar PA, Gerber C, Glenthøj LB, Horton LE, Hui CLM, Kambeitz J, Kambeitz-Ilankovic L, Keshavan M, Kim SW, Koutsouleris N, Kwon JS, Langbein K, Mamah D, Diaz-Caneja CM, Mathalon DH, Mittal VA, Nordentoft M, Pearlson GD, Perkins DO, Perez J, Powers AR, Rogers J, Sabb FW, Schiffman J, Shah JL, Silverstein SM, Smesny S, Strauss GP, Thompson JL, Upthegrove R, Verma SK, Wang J, Wolf DH, Pasternak O, Bouix S, McGorry PD, Kane JM, Kahn RS, Bearden CE, Shenton ME, Woods SW, Nelson B, Stone WS. Cognitive assessment in the Accelerating Medicines Partnership® Schizophrenia Program: harmonization priorities and strategies in a diverse international sample. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2025; 11:49. [PMID: 40128256 PMCID: PMC11933323 DOI: 10.1038/s41537-025-00578-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 12/24/2024] [Indexed: 03/26/2025]
Abstract
Cognitive impairment occurs at higher rates in individuals at clinical high risk (CHR) for psychosis relative to healthy peers, and it contributes unique variance to multivariate prediction models of transition to psychosis. Such impairment is considered a core biomarker of schizophrenia. Thus, cognition is a key domain measured in the Accelerating Medicines Partnership® program for Schizophrenia (AMP SCZ initiative). The aim of this paper is to describe the rationale, processes, considerations, and final harmonization of the cognitive battery used in AMP SCZ across the two data collection networks. This battery comprises tests of general intellect and specific cognitive domains. We estimate premorbid intelligence at baseline and measure current intelligence at baseline and 2 years. Eight tests from the Penn Computerized Neurocognitive Battery (PennCNB), which measure verbal learning and memory, sensorimotor ability, attention, emotion recognition, working memory, processing speed, verbal memory, visual memory, and motor speed are administered repeatedly at baseline, and four follow-up timepoints over 2 years.
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Affiliation(s)
- Kelly Allott
- Orygen, Parkville, VIC, Australia.
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Walid Yassin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Luis Alameda
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Owen Borders
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kate Buccilli
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ricardo E Carrión
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Rolando I Castillo-Passi
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
- Department of Neurology and Psychiatry, Clínica Alemana-Universidad del Desarrollo, Santiago, RM, Chile
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kota Chin
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michael J Coleman
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Beau-Luke Colton
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Sebastián Corral
- Department of Psychiatry, University of Chile, Santiago, Chile
- Departamento de Psicologia, Universidad de La Serena, La Serena, Chile
| | - Dominic Dwyer
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Kristina Ballestad Gundersen
- VIRTU Research Group, Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Grace R Jacobs
- Department of Psychiatry, 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
| | - Kathryn E Lewandowski
- Psychotic Disorders Division, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | | | | | | | - Angela R Nunez
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Setari Parsa
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Nora Penzel
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Susan Ray
- Northwell Health, Glen Oaks, NY, USA
| | - Jenna M Reinen
- IBM Research, Armonk, NY, USA
- T.J. Watson Research Laboratory, Yorktown Heights, NY, USA
| | - Kosha Ruparel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Gennarina Santorelli
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica Spark
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Zailyn Tamayo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew Thompson
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, USA
| | - Sophie Tod
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Cassandra M J Wannan
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Alana Wickham
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen J Wood
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- School of Psychology, University of Birmingham, Edgbaston, UK
| | - Eirini Zoupou
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Yale University Department of Psychiatry, New Haven, CT, USA
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | | | - Matthew R Broome
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Early Intervention for Psychosis Services, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | | | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eric Yu Hai Chen
- Department of Psychiatry, School of Clinical Medicine, LKF Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Jimmy Choi
- Olin Neuropsychiatry Research Center, Hartford Health Care Behavioral Health Network, Hartford, CT, USA
| | - Philippe Conus
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Cheryl M Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara A Cornblatt
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Lauren M Ellman
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Pablo A Gaspar
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Carla Gerber
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
- Oregon Research Institute, Springfield, OR, USA
| | - Louise Birkedal Glenthøj
- VIRTU Research Group, Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Leslie E Horton
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Christy Lai Ming Hui
- Department of Psychiatry, School of Clinical Medicine, LKF Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Joseph Kambeitz
- University of Cologne, Faculty of Medicine and University HospitalCologne, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- University of Cologne, Faculty of Medicine and University HospitalCologne, Cologne, Germany
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
- Mindlink, Gwangju Bukgu Mental Health Center, Gwangju, Republic of Korea
| | - Nikolaos Koutsouleris
- Department of Psychosis Studies, King's College London, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Daniel Mamah
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Covadonga M Diaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Daniel H Mathalon
- Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Mental Health Service 116D, Veterans Affairs San Francisco Health Care System, San Francisco, CA, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Chicago, IL, USA
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Jesus Perez
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Institute of Biomedical Research (IBSAL), Department of Medicine, Universidad de Salamanca, Salamanca, Spain
| | - Albert R Powers
- Connecticut Mental Health Center, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Jack Rogers
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Fred W Sabb
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine, CA, USA
| | - Jai L Shah
- PEPP-Montreal, Douglas Research Centre, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Steven M Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | | | - Judy L Thompson
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Rachel Upthegrove
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Swapna K Verma
- Institute of Mental Health, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Sylvain Bouix
- Department of Software Engineering and Information Technology, Ecole de technologie superieure, Montreal, QC, Canada
| | - Patrick D McGorry
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Rene S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences & Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Martha E Shenton
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Scott W Woods
- Connecticut Mental Health Center, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Barnaby Nelson
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
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Abbes Z, Taleb S, Yahia HB, Hmidi H, Hajri M, Jelili S, Halayem S, Mrabet A, Ventura J, Bouden A. Tunisian Adolescents at CHR for Psychosis: A Pilot Study of Cognitive Remediation in a LMIC. Early Interv Psychiatry 2025; 19:e13614. [PMID: 39414393 PMCID: PMC11730502 DOI: 10.1111/eip.13614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 07/30/2024] [Accepted: 09/09/2024] [Indexed: 10/18/2024]
Abstract
BACKGROUND Clinical high risk (CHR) youth are known to exhibit cognitive deficits at similar levels to their more severally ill counter parts. Cognitive training (CT) programs offer a promising method for early intervention and the prevention of further cognitive decline in this vulnerable population. However, there are few structured CT intervention programs addressing the needs of CHR youth in LMICs of the Middle East. METHODS We conducted a study in the Child and Adolescent Psychiatry Department of Razi University Hospital. Patients were assessed by trained raters with the "Comprehensive Assessment of At-Risk Mental States" to confirm their CHR status. Cognitive Training (CT) was combined with the Neuropsychological Educational Approach to Remediation (CT-NEAR) as part of a social rehabilitation program. We enrolled 25 CHR patients and examined several domains of cognitive functioning and evaluated daily functioning prior to starting the intervention and after completion. RESULTS There were 20 patients who completed the study. The CT-NEAR group (n = 10) completed an average number 28.33 sessions over 12 weeks, which were matched for therapist time with the TAU group (n = 10). We found statistically significant improvements in CT-NEAR versus TAU in several cognitive domains; such as cognitive flexibility, memory-short and long-term, and verbal fluency. Also, CT-NEAR versus TAU patients improved in global functioning. CONCLUSIONS Our findings indicate that cognitive remediation versus TAU for Tunisian CHR youth is feasible and effective especially in improving cognitive functioning when delivered in a social rehabilitation context (Bridging Group) and extends to global level of functioning.
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Affiliation(s)
- Zeineb Abbes
- Child and Adolescent Psychiatric DepartmentRazi University HospitalTunisTunisia
- Faculty of Medicine of TunisEl‐Manar Tunis UniversityTunisTunisia
| | - Sana Taleb
- Child and Adolescent Psychiatric DepartmentRazi University HospitalTunisTunisia
- Faculty of Medicine of TunisEl‐Manar Tunis UniversityTunisTunisia
| | - Houda Ben Yahia
- Child and Adolescent Psychiatric DepartmentRazi University HospitalTunisTunisia
| | - Hajer Hmidi
- Child and Adolescent Psychiatric DepartmentRazi University HospitalTunisTunisia
| | - Melek Hajri
- Child and Adolescent Psychiatric DepartmentRazi University HospitalTunisTunisia
- Faculty of Medicine of TunisEl‐Manar Tunis UniversityTunisTunisia
| | - Selima Jelili
- Child and Adolescent Psychiatric DepartmentRazi University HospitalTunisTunisia
- Faculty of Medicine of TunisEl‐Manar Tunis UniversityTunisTunisia
| | - Soumeya Halayem
- Child and Adolescent Psychiatric DepartmentRazi University HospitalTunisTunisia
- Faculty of Medicine of TunisEl‐Manar Tunis UniversityTunisTunisia
| | - Ali Mrabet
- Faculty of Medicine of TunisEl‐Manar Tunis UniversityTunisTunisia
- Military Centre for Health and Environment Protection/General Directorate of Military HealthTunisTunisia
| | - Joseph Ventura
- UCLA Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Asma Bouden
- Child and Adolescent Psychiatric DepartmentRazi University HospitalTunisTunisia
- Faculty of Medicine of TunisEl‐Manar Tunis UniversityTunisTunisia
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5
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Fresán A, Domínguez T, Flores Y, Nieto L, Sheinbaum T, Robles R, Medalia A. Psychometric properties of the Spanish version of the measure of insight into cognition-self-report in psychosis-risk and non-clinical Mexican young adults. Early Interv Psychiatry 2025; 19:e13559. [PMID: 38767060 PMCID: PMC11730387 DOI: 10.1111/eip.13559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/24/2024] [Accepted: 05/09/2024] [Indexed: 05/22/2024]
Abstract
AIM Cognitive disturbances typically precede the onset of overt psychotic symptoms and represent a neurobiological marker for psychosis risk that is also associated with poor functional outcomes. The Measure of Insight into Cognition-Self Report (MIC-SR) is a widely used 12-item questionnaire that assesses the perceived frequency of cognitive impairment in the domains of executing functioning, attention, and memory. However, the MIC-SR is not available in Spanish, one of the most widely spoken languages worldwide. The present study aimed to provide a Spanish version of the MIC-SR and examine its psychometric properties in psychosis-risk and non-clinical Mexican young adults. METHODS The sample comprised 621 participants who completed a battery of self-report measures via an online survey. Of the participants, 478 were non-clinical, and 143 met the screening criteria for a clinical high-risk for psychosis (CHR-positive). RESULTS Confirmatory Factor Analyses supported a one-factor model, consistent with the findings for the original MIC-SR. The results showed adequate fit indices for the general model and the independent models for both groups, with high Cronbach's alpha coefficients. Furthermore, the CHR-positive group showed more frequent subjective cognitive problems on each of the 12 items, higher total scores, and higher average frequency than the non-clinical group. CONCLUSION To our knowledge, this is the first translation of the MIC-SR into Spanish. Using the MIC-SR at the CHR stage may contribute to our understanding of cognitive processes associated with the onset of a psychotic disorder and provide valuable information in the context of detection and early intervention efforts.
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Affiliation(s)
- Ana Fresán
- Laboratorio de Epidemiología ClínicaSubdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”Mexico CityMexico
| | - Tecelli Domínguez
- Centro de Investigación en Salud Mental GlobalInstituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”‐UNAMMexico CityMexico
| | - Yvonne Flores
- Laboratorio de Neuromodulación, Subdirección de Investigaciones ClínicasInstituto Nacional de Psiquiatría Ramón de la Fuente MunizMexico CityMexico
| | - Lourdes Nieto
- Centro de Investigación en Salud Mental GlobalInstituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”‐UNAMMexico CityMexico
| | - Tamara Sheinbaum
- Dirección de Investigaciones Epidemiológicas y PsicosocialesInstituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”Mexico CityMexico
| | - Rebeca Robles
- Centro de Investigación en Salud Mental GlobalInstituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”‐UNAMMexico CityMexico
| | - Alice Medalia
- Cognitive Health ServicesColumbia University Irving Medical CenterNew YorkNew YorkUSA
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Yassin W, Loedige KM, Wannan CM, Holton KM, Chevinsky J, Torous J, Hall MH, Ye RR, Kumar P, Chopra S, Kumar K, Khokhar JY, Margolis E, De Nadai AS. Biomarker discovery using machine learning in the psychosis spectrum. Biomark Neuropsychiatry 2024; 11:100107. [PMID: 39687745 PMCID: PMC11649307 DOI: 10.1016/j.bionps.2024.100107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2024] Open
Abstract
The past decade witnessed substantial discoveries related to the psychosis spectrum. Many of these discoveries resulted from pursuits of objective and quantifiable biomarkers in tandem with the application of analytical tools such as machine learning. These approaches provided exciting new insights that significantly helped improve precision in diagnosis, prognosis, and treatment. This article provides an overview of how machine learning has been employed in recent biomarker discovery research in the psychosis spectrum, which includes schizophrenia, schizoaffective disorders, bipolar disorder with psychosis, first episode psychosis, and clinical high risk for psychosis. It highlights both human and animal model studies and explores a varying range of the most impactful biomarkers including cognition, neuroimaging, electrophysiology, and digital markers. We specifically highlight new applications and opportunities for machine learning to impact noninvasive symptom monitoring, prediction of future diagnosis and treatment outcomes, integration of new methods with traditional clinical research and practice, and personalized medicine approaches.
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Affiliation(s)
- Walid Yassin
- Harvard Medical School, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | | | - Cassandra M.J. Wannan
- The University of Melbourne, Parkville, Victoria, Australia
- Orygen, Parkville, Victoria, Australia
| | - Kristina M. Holton
- Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Jonathan Chevinsky
- Harvard Medical School, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - John Torous
- Harvard Medical School, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Mei-Hua Hall
- Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Rochelle Ruby Ye
- The University of Melbourne, Parkville, Victoria, Australia
- Orygen, Parkville, Victoria, Australia
| | - Poornima Kumar
- Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Sidhant Chopra
- Yale University, New Haven, CT, USA
- Rutgers University, Piscataway, NJ, USA
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Hamdan-Dumont M, Lecardeur L, Habert M, Couturas J, Okassa M, Lacroix A, Calvet B. Cognitive complaint inversely associated to UHR transition. Schizophr Res Cogn 2024; 38:100319. [PMID: 39022601 PMCID: PMC11253140 DOI: 10.1016/j.scog.2024.100319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 06/14/2024] [Accepted: 06/16/2024] [Indexed: 07/20/2024]
Abstract
The aim of this study was to identify the impact of staging on a six-months transition in Ultra-High Risk (UHR) youth. Subjects were enrolled at assessment; evolution was monitored for six months. Clinical determinants (unusual thought content, perceptual abnormalities, cognitive complaint, etc.) were collected. 37 non-psychotic and 39 UHR subjects were included. 13 UHR (35.2 %) experienced psychotic transition, while none of non-psychotic subjects did log-rank p < 0.001. Self-reported cognitive complaint was inversely associated to transition OR 0.13 95 % IC [0.03-0.64]. Unusual Thought Content was associated to psychotic transition 0R 8.57 95 % IC [1.17-63]. Self-reported cognitive complaint could be a protective transition marker in UHR.
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Affiliation(s)
- Mirvat Hamdan-Dumont
- Centre Hospitalier Esquirol, Early Intervention Unit, Limoges 87000, France
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
- Inserm UMR1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT- Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges 87000, France
| | | | - Marine Habert
- Centre Hospitalier Esquirol, Early Intervention Unit, Limoges 87000, France
| | - Jérémy Couturas
- Centre Hospitalier Esquirol, Early Intervention Unit, Limoges 87000, France
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
- Inserm UMR1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT- Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges 87000, France
| | - Mireille Okassa
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
| | - Aurélie Lacroix
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
- Inserm UMR1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT- Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges 87000, France
| | - Benjamin Calvet
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
- Inserm UMR1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT- Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges 87000, France
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8
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Carrión RE, Ku BS, Dorvil S, Auther AM, McLaughlin D, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Tsuang MT, Walker EF, Woods SW, Cornblatt BA. Neurocognition in adolescents and young adults at clinical high risk for psychosis: Predictive stability for social and role functioning. Schizophr Res 2024; 271:129-137. [PMID: 39024961 PMCID: PMC12042140 DOI: 10.1016/j.schres.2024.06.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 06/25/2024] [Accepted: 06/28/2024] [Indexed: 07/20/2024]
Abstract
The prodromal phase of schizophrenia provides an optimal opportunity to mitigate the profound functional disability that is often associated with fully expressed psychosis. Considerable evidence supports the importance of neurocognition in the development of interpersonal (social) and academic (role) skills. Further findings from adolescents and young adults at clinical high risk for developing psychosis (CHRP) suggest that treatment for functioning might be most effective when targeting early and specific neurocognitive deficits. The current study addresses this critical intervention issue by examining the potential of neurocognitive deficits at intake for predicting social and role functioning over time in CHR-P youth. The study included 345 CHR-P participants from the second phase of the North American Prodrome Longitudinal Study (NAPLS2) with baseline neurocognition and 2-year follow-up data on social and role functioning. Slower baseline processing speed consistently predicted poor social functioning over time, while attention deficits predicted poor role functioning at baseline and follow-up. In addition, the impact of processing speed and attention impairments on social and role functioning, respectively, persisted even when adjusting the regression models for attenuated positive, negative, and disorganized symptoms, and transition status. The current study demonstrates for, arguably the first time, that processing speed and attention are strongly predictive of social and role functioning over time, respectively, above and beyond the impact of symptoms and those CHR-P individuals that develop psychosis over the course of the study. These findings imply that early neurocognition is a critical treatment target linked to the developmental trajectory of social and role functioning.
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Affiliation(s)
- Ricardo E Carrión
- Northwell Health, New Hyde Park, NY, United States; Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, United States; Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
| | - Benson S Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Sarah Dorvil
- Department of Psychology, Queens College, New York, United States
| | - Andrea M Auther
- Northwell Health, New Hyde Park, NY, United States; Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States
| | | | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior and Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Tyrone D Cannon
- Department of Psychology, Yale University, School of Medicine, New Haven, CT, United States; Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States
| | - Daniel H Mathalon
- San Francisco Veterans Affairs Health Care System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, CA, United States
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - William S Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States
| | - Ming T Tsuang
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States
| | - Elaine F Walker
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States.; Department of Psychology, Emory University, Atlanta, GA, United States
| | - Scott W Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Barbara A Cornblatt
- Northwell Health, New Hyde Park, NY, United States; Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, United States; Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States; Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States
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9
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Yassin W, Green J, Keshavan M, Del Re EC, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Mathalon DH, Perkins DO, Walker EF, Woods SW, Stone WS. Cognitive subtypes in youth at clinical high risk for psychosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.07.24311240. [PMID: 39211862 PMCID: PMC11361220 DOI: 10.1101/2024.08.07.24311240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Introduction Schizophrenia is a mental health condition that severely impacts well-being. Cognitive impairment is among its core features, often presenting well before the onset of overt psychosis, underscoring a critical need to study it in the psychosis proneness (clinical high risk; CHR) stage, to maximize the benefits of interventions and to improve clinical outcomes. However, given the heterogeneity of cognitive impairment in this population, a one-size-fits-all approach to therapeutic interventions would likely be insufficient. Thus, identifying cognitive subtypes in this population is crucial for tailored and successful therapeutic interventions. Here we identify, validate, and characterize cognitive subtypes in large CHR samples and delineate their baseline and longitudinal cognitive and functional trajectories. Methods Using machine learning, we performed cluster analysis on cognitive measures in a large sample of CHR youth (n = 764), and demographically comparable controls (HC; n = 280) from the North American Prodrome Longitudinal Study (NAPLS) 2, and independently validated our findings with an equally large sample (NAPLS 3; n = 628 CHR, 84 HC). By utilizing several statistical approaches, we compared the clusters on cognition and functioning at baseline, and over 24 months of followup. We further delineate the conversion status within those clusters. Results Two main cognitive clusters were identified, "impaired" and "intact" across all cognitive domains in CHR compared to HC. Baseline differences between the cognitively intact cluster and HC were found in the verbal abilities and attention and working memory domains. Longitudinally, those in the cognitively impaired cluster group demonstrated an overall floor effect and did not deteriorate further over time. However, a "catch up" trajectory was observed in the attention and working memory domain. This group had higher instances of conversion overall, with these converters having significantly more non-affective psychotic disorder diagnosis versus bipolar disorder, than those with intact cognition. In the cognitively intact group, we observed differences in trajectory based on conversion status, where those who start with intact cognition and later convert demonstrate a sharp decline in attention and functioning. Functioning was significantly better in the cognitively intact than in the impaired group at baseline. Most of the cognitive trajectories demonstrate a positive relationship with functional ones. Conclusion Our findings provide evidence for intact and impaired cognitive subtypes in youth at CHR, independent of conversion status. They further indicate that attention and working memory are important to distinguish between the CHR with intact cognition and controls. The cognitively intact CHR group becomes less attentive after conversion, while the cognitively impaired one demonstrates a catch up trajectory on both attention and working memory. Overall, early evaluation, covering several cognitive domains, is crucial for identifying trajectories of improvement and deterioration for the purpose of tailoring intervention for improving outcomes in individuals at CHR for psychosis.
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10
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Zhang T, Cui H, Tang X, Xu L, Wei Y, Hu Y, Tang Y, Wang Z, Liu H, Chen T, Li C, Wang J. Models of mild cognitive deficits in risk assessment in early psychosis. Psychol Med 2024; 54:2230-2241. [PMID: 38433595 DOI: 10.1017/s0033291724000382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
BACKGROUND Mild cognitive deficits (MCD) emerge before the first episode of psychosis (FEP) and persist in the clinical high-risk (CHR) stage. This study aims to refine risk prediction by developing MCD models optimized for specific early psychosis stages and target populations. METHODS A comprehensive neuropsychological battery assessed 1059 individuals with FEP, 794 CHR, and 774 matched healthy controls (HCs). CHR subjects, followed up for 2 years, were categorized into converters (CHR-C) and non-converters (CHR-NC). The MATRICS Consensus Cognitive Battery standardized neurocognitive tests were employed. RESULTS Both the CHR and FEP groups exhibited significantly poorer performance compared to the HC group across all neurocognitive tests (all p < 0.001). The CHR-C group demonstrated poorer performance compared to the CHR-NC group on three sub-tests: visuospatial memory (p < 0.001), mazes (p = 0.005), and symbol coding (p = 0.023) tests. Upon adjusting for sex and age, the performance of the MCD model was excellent in differentiating FEP from HC, as evidenced by an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.895 (p < 0.001). However, when applied in the CHR group for predicting CHR-C (AUC = 0.581, p = 0.008), the performance was not satisfactory. To optimize the efficiency of psychotic risk assessment, three distinct MCD models were developed to distinguish FEP from HC, predict CHR-C from CHR-NC, and identify CHR from HC, achieving accuracies of 89.3%, 65.6%, and 80.2%, respectively. CONCLUSIONS The MCD exhibits variations in domains, patterns, and weights across different stages of early psychosis and diverse target populations. Emphasizing precise risk assessment, our findings highlight the importance of tailored MCD models for different stages and risk levels.
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Affiliation(s)
- TianHong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - HuiRu Cui
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - XiaoChen Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - LiHua Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - YanYan Wei
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - YeGang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - YingYing Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - ZiXuan Wang
- Shanghai Xinlianxin Psychological Counseling Co., Ltd, Shanghai, China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Waterloo, ON, Canada
- Labor and Worklife Program, Harvard University, Cambridge, MA, USA
| | - ChunBo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - JiJun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
- Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, People's Republic of China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, People's Republic of China
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11
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Ouellet J, Assaf R, Afzali MH, Nourbakhsh S, Potvin S, Conrod P. Neurocognitive consequences of adolescent sleep disruptions and their relationship to psychosis vulnerability: a longitudinal cohort study. NPJ MENTAL HEALTH RESEARCH 2024; 3:18. [PMID: 38714732 PMCID: PMC11076494 DOI: 10.1038/s44184-024-00058-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 02/15/2024] [Indexed: 05/10/2024]
Abstract
Adolescence is a key period for neurocognitive maturation where deviation from normal developmental trajectories may be tied to adverse mental health outcomes. Cognitive disruptions have been noted in populations at risk for psychosis and are known to accompany periods of sleep deprivation. This study aims to assess the role of cognition as a mediator between sleep disruptions and psychosis risk. A cohort of 3801 high school students (51% female, mean age = 12.8, SD = 0.45 years) was recruited from 31 Montreal high schools. Measures of sleep, psychotic-like experiences, inhibition, working memory, perceptual reasoning, and delayed recall were collected from participants on a yearly basis over the five years of their high school education. A multi-level model mediation analysis was performed controlling for sex and time squared. Response inhibition was shown to be associated with, and to mediate (B = -0.005, SD = 0.003, p = 0.005*) the relationship between sleep disruptions (B = -0.011, SD = 0.004, p < 0.001*) and psychotic-like experiences (B = 0.411, SD = 0.170, p = 0.005*). Spatial working memory deficits on a given year were associated with a higher frequency of psychotic-like experiences that same year (B = -0.046, SD = 0.018, p = 0.005*) and the following year (B = -0.051, SD = 0.023, p = 0.010*), but were not associated with sleep disturbances. No significant associations were found between our variables of interest and either delayed recall or perceptual reasoning at the within person level. Findings from this large longitudinal study provide evidence that the association between sleep disruptions and psychosis risk is specifically mediated by inhibitory rather than general cognitive impairments. The association of spatial working memory, response inhibition, and sleep disruptions with psychotic-like experiences suggests that these factors may represent potential targets for preventative interventions.
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Affiliation(s)
- Julien Ouellet
- CHU Sainte-Justine Research Center, Montreal, QC, Canada.
- Department of Neuroscience, Université de Montréal, Montreal, QC, Canada.
| | - Roxane Assaf
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of Psychiatry, Université de Montréal, Montreal, QC, Canada
| | | | - Sima Nourbakhsh
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of Psychiatry, Université de Montréal, Montreal, QC, Canada
| | - Stéphane Potvin
- Department of Psychiatry, Université de Montréal, Montreal, QC, Canada
- Institut Universitaire en Santé Mentale de Montréal Research Center, Montreal, QC, Canada
| | - Patricia Conrod
- CHU Sainte-Justine Research Center, Montreal, QC, Canada.
- Department of Psychiatry, Université de Montréal, Montreal, QC, Canada.
- Department of Pediatrics, Université de Montréal, Montreal, QC, Canada.
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Tor J, Baeza I, Sintes-Estevez A, De la Serna E, Puig O, Muñoz-Samons D, Álvarez-Subiela J, Sugranyes G, Dolz M. Cognitive predictors of transition and remission of psychosis risk syndrome in a child and adolescent sample: longitudinal findings from the CAPRIS study. Eur Child Adolesc Psychiatry 2024; 33:89-104. [PMID: 36598585 DOI: 10.1007/s00787-022-02137-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 12/28/2022] [Indexed: 01/05/2023]
Abstract
Cognitive impairments are proposed as predictors in the differentiation between subjects with psychosis risk syndrome (PRS) who will develop a psychotic disorder (PRS-P) and those who will not (PRS-NP). More in-depth study of the PRS-NP group could contribute to defining the role of cognitive alterations in psychosis. This study aims to analyze cognition of children and adolescents with PRS in terms of their clinical outcome at 18-month follow-up (psychosis, remission, and non-remission) and of determinate predictors of transition to psychosis and remission of PRS. The method is two-site, naturalistic, longitudinal study design, with 98 help-seeking adolescents with PRS and 64 healthy controls (HC). PRS-P (n = 24) and PRS-NP (n = 74) participants were clinically and cognitively assessed at baseline, and when full-blown psychotic disorder had developed or at 18-month follow-up. PRS-P subjects showed lower scores at baseline in processing speed, visuospatial memory, attention, and executive function (cognitive flexibility/processing speed) compared to HC. PRS-NP subjects showed lower baseline scores in verbal working memory and verbal fluency compared to HC. This deficit is also observed in the PRS group of participants still presenting attenuated psychotic symptoms at 18-month follow-up, while PRS subjects in remission showed a similar cognitive profile to HC subjects. Baseline score on processing speed, measured with a coding task, appeared to be a predictive variable for the development of a psychotic disorder. Performance in verbal working memory was predictive of remission in the PRS-NP. Post hoc comparisons indicate the need for careful interpretation of cognitive markers as predictors of psychosis. Cognitive impairments are present in both PRS-P and PRS-NP. Those individuals who recover from PRS show baseline cognitive performance comparable to the HC group. Together with sociodemographic variables, this observation could help in the differentiation of a variety of PRS trajectories in children and adolescents.
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Affiliation(s)
- Jordina Tor
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Santa Rosa, 39-57, 08950, Esplugues de Llobregat, Barcelona, Spain.
- Child and Adolescent Psychiatry and Psychology Department, Hospital Sant Joan de Déu of Barcelona, Passeig Sant Joan de Déu, 002, 08950, Esplugues de Llobregat, Barcelona, Spain.
| | - Inmaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic Universitari of Barcelona, (2017SGR881), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Health Sciences Division, Department of Psychiatry and Psychobiology, University of Barcelona, Barcelona, Spain
| | - Anna Sintes-Estevez
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Santa Rosa, 39-57, 08950, Esplugues de Llobregat, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, Hospital Sant Joan de Déu of Barcelona, Passeig Sant Joan de Déu, 002, 08950, Esplugues de Llobregat, Barcelona, Spain
| | - Elena De la Serna
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic Universitari of Barcelona, (2017SGR881), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
| | - Olga Puig
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic Universitari of Barcelona, (2017SGR881), Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
| | - Daniel Muñoz-Samons
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Santa Rosa, 39-57, 08950, Esplugues de Llobregat, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, Hospital Sant Joan de Déu of Barcelona, Passeig Sant Joan de Déu, 002, 08950, Esplugues de Llobregat, Barcelona, Spain
| | - Javier Álvarez-Subiela
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Santa Rosa, 39-57, 08950, Esplugues de Llobregat, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, Hospital Sant Joan de Déu of Barcelona, Passeig Sant Joan de Déu, 002, 08950, Esplugues de Llobregat, Barcelona, Spain
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic Universitari of Barcelona, (2017SGR881), Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
| | - Montserrat Dolz
- Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Santa Rosa, 39-57, 08950, Esplugues de Llobregat, Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, Hospital Sant Joan de Déu of Barcelona, Passeig Sant Joan de Déu, 002, 08950, Esplugues de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
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13
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Clemmensen L, Kristensen TD, Wenneberg C, Rimvall MK, Nordentoft M, Glenthoej L. Brief rapport: Perceptual aberration in patients at ultra-high risk for psychosis. Early Interv Psychiatry 2024; 18:63-68. [PMID: 37257880 DOI: 10.1111/eip.13445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 05/11/2023] [Accepted: 05/19/2023] [Indexed: 06/02/2023]
Abstract
BACKGROUND Ultra-high risk (UHR) is considered a forerunner of psychosis, but most UHR individuals do not later convert, yet remain symptomatic, disabled and help-seeking. Thus, there is an increased recognition of the UHR phenotype as a syndrome in itself, rather than merely a risk syndrome. It is therefore essential to investigate outcomes other than transition to psychosis. For this purpose, perceptual aberration appears to be a distinct, as well as a stable and less state-specific vulnerability indicator. We aimed to investigate perceptual aberration and associations with functional, neuro and social cognitive risk factors in an UHR sample. METHOD One hundred and twenty UHR and 64 healthy controls were compared on levels of perceptual aberration using the perceptual aberration scale. We further investigated cross-sectional associations between perceptual aberration and CAARMS (as a measure of subthreshold psychotic symptoms) and functional, neuro and social cognitive risk factors within the UHR using Spearmans ρ. RESULTS Perceptual aberration was significantly higher in UHR than in healthy controls and was associated with social functioning, executive functioning, and emotion recognition. CONCLUSION Our findings are consistent with a view of perceptual aberration as a stable vulnerability indicator that varies little with clinical state.
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Affiliation(s)
- Lars Clemmensen
- Copenhagen Research Center on Mental Health, Copenhagen University Hospital, VIRTU Research Group, Hellerup, Denmark
| | - Tina Dam Kristensen
- Center for Neuropsychiatric Schizophrenia Research (CNSR) Mental Health Center, Copenhagen University Hospital, Glostrup, Denmark
| | - Christina Wenneberg
- Center for Neuropsychiatric Schizophrenia Research (CNSR) Mental Health Center, Copenhagen University Hospital, Glostrup, Denmark
| | - Martin Køster Rimvall
- Capital Region Mental Health Services Child and Adolescent Psychiatric Center, Hellerup, Denmark
- Department of Child and Adolescent Psychiatry, Zealand University Hospital Roskilde, Psychiatry Region Zealand, Roskilde, Denmark
| | - Merete Nordentoft
- Copenhagen Research Center on Mental Health, Copenhagen University Hospital, Hellerup, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Kobenhavn, Denmark
| | - Louise Glenthoej
- Copenhagen Research Center on Mental Health, Copenhagen University Hospital, VIRTU Research Group, Hellerup, Denmark
- Department of Psychology, University of Copenhagen, Kobenhavn, Denmark
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Słowiński P, White A, Lison S, Sullivan S, Emmens T, Self P, Wileman J, Karl A, Tsaneva-Atanasova K. The potential of digital behavioural tests as a diagnostic aid for psychosis. PLOS DIGITAL HEALTH 2023; 2:e0000339. [PMID: 37713385 PMCID: PMC10503702 DOI: 10.1371/journal.pdig.0000339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 07/29/2023] [Indexed: 09/17/2023]
Abstract
Timely interventions have a proven benefit for people experiencing psychotic illness. One bottleneck to accessing timely interventions is the referral process to the specialist team for early psychosis (STEP). Many general practitioners lack awareness or confidence in recognising psychotic symptoms or state. Additionally, referrals for people without apparent psychotic symptoms, although beneficial at a population level, lead to excessive workload for STEPs. There is a clear unmet need for accurate stratification of STEPs users and healthy cohorts. Here we propose a new approach to addressing this need via the application of digital behavioural tests. To demonstrate that digital behavioural tests can be used to discriminate between the STEPs users (SU; n = 32) and controls (n = 32, age and sex matched), we compared performance of five different classifiers applied to objective, quantitative and interpretable features derived from the 'mirror game' (MG) and trail making task (TMT). The MG is a movement coordination task shown to be a potential socio-motor biomarker of schizophrenia, while TMT is a neuropsychiatric test of cognitive function. All classifiers had AUC in the range of 0.84-0.92. The best of the five classifiers (linear discriminant classifier) achieved an outstanding performance, AUC = 0.92 (95%CI 0.75-1), Sensitivity = 0.75 (95%CI 0.5-1), Specificity = 1 (95%CI 0.75-1), evaluated on 25% hold-out and 1000 folds. Performance of all analysed classifiers is underpinned by the large effect sizes of the differences between the cohorts in terms of the features used for classification what ensures generalisability of the results. We also found that MG and TMT are unsuitable in isolation to successfully differentiate between SU with and without at-risk-mental-state or first episode psychosis with sufficient level of performance. Our findings show that standardised batteries of digital behavioural tests could benefit both clinical and research practice. Including digital behavioural tests into healthcare practice could allow precise phenotyping and stratification of the highly heterogenous population of people referred to STEPs resulting in quicker and more personalised diagnosis. Moreover, the high specificity of digital behavioural tests could facilitate the identification of more homogeneous clinical high-risk populations, benefiting research on prognostic instruments for psychosis. In summary, our study demonstrates that cheap off-the-shelf equipment (laptop computer and a leap motion sensor) can be used to record clinically relevant behavioural data that could be utilised in digital mental health applications.
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Affiliation(s)
- Piotr Słowiński
- Translational Research Exchange @ Exeter, Living Systems Institute, Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, United Kingdom
| | - Alexander White
- Department of Psychology, Faculty of Health and Life Sciences, University of Exeter, United Kingdom
| | - Sian Lison
- Research & Development Department, Devon Partnership NHS Trust, Exeter, United Kingdom
| | - Sarah Sullivan
- Faculty of Health Sciences, Bristol Medical School, University of Bristol, United Kingdom
| | - Tobit Emmens
- Research & Development Department, Devon Partnership NHS Trust, Exeter, United Kingdom
| | - Philip Self
- Research & Development Department, Devon Partnership NHS Trust, Exeter, United Kingdom
| | - Jane Wileman
- Specialist Team for Early Psychosis, Devon Partnership NHS Trust, Exeter, United Kingdom
| | - Anke Karl
- Department of Psychology, Faculty of Health and Life Sciences, University of Exeter, United Kingdom
| | - Krasimira Tsaneva-Atanasova
- Translational Research Exchange @ Exeter, Living Systems Institute, Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, United Kingdom
- EPSRC Hub for Quantitative Modelling in Healthcare University of Exeter, Exeter, United Kingdom
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15
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Zhang T, Wei Y, Cui H, Tang X, Xu L, Hu Y, Tang Y, Liu H, Chen T, Li C, Wang J. Associations between age and neurocognition in individuals at clinical high risk and first-episode psychosis. Psychiatry Res 2023; 327:115385. [PMID: 37567111 DOI: 10.1016/j.psychres.2023.115385] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023]
Abstract
Neurocognitive deficits differ with age during the early stages of psychosis. This study aimed to explore age-related differences (9-35 years old) in the neurocognitive performance of a large clinical population. In total, 1059 individuals with first-episode psychosis (FEP), 794 individuals with a clinical high risk of psychosis (CHR), and 774 well-matched healthy controls (HC) were recruited between 2016 and 2021. Neurocognitive assessments were performed using the Chinese version of the Measurement and Treatment Research to Improve Cognition in Schizophrenia Battery(MCCB). The MCCB subtest scores differed significantly among the groups across the age span. The mean scores of subtests in CHR individuals were approximately one standard deviation(SD) lower than that of HC, while that of FEP patients was approximately two SDs. The adolescents performed better than the adults in the HC, CHR, and FEP groups. In the HC group, a stronger correlation was found between age and cognitive function, and more neurocognitive domains were affected by age than in the CHR and FEP groups. These results emphasize that neurocognitive deficits in psychosis are present at the pre-onset stage and deteriorate at the first-episode stage across the age span, implicating the development of specific strategies that could monitor the cognitive trajectory in early psychosis.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiaotong University School of Medicine, 600 Wanping Nan Road, Shanghai 200030, China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiaotong University School of Medicine, 600 Wanping Nan Road, Shanghai 200030, China
| | - HuiRu Cui
- Shanghai Mental Health Center, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiaotong University School of Medicine, 600 Wanping Nan Road, Shanghai 200030, China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiaotong University School of Medicine, 600 Wanping Nan Road, Shanghai 200030, China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiaotong University School of Medicine, 600 Wanping Nan Road, Shanghai 200030, China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiaotong University School of Medicine, 600 Wanping Nan Road, Shanghai 200030, China
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiaotong University School of Medicine, 600 Wanping Nan Road, Shanghai 200030, China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Ontario, Canada; Senior Research Fellow, Labor and Worklife Program, Harvard University, Cambridge, MA, United States
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiaotong University School of Medicine, 600 Wanping Nan Road, Shanghai 200030, China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center (20DZ2253800), Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiaotong University School of Medicine, 600 Wanping Nan Road, Shanghai 200030, China; Chinese Academy of Science, Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Shanghai, China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
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16
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Angers K, Suhr JA, Moe AM. Executively-mediated language skills are related to performance-based social functioning in the early psychosis spectrum. J Psychiatr Res 2023; 164:184-191. [PMID: 37352814 DOI: 10.1016/j.jpsychires.2023.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/25/2023] [Accepted: 06/15/2023] [Indexed: 06/25/2023]
Abstract
Social impairment is a core deficit in psychotic spectrum disorders (PSDs). Prior work shows that language abnormalities can predict psychosis onset and are related to social outcomes in PSDs. Few studies have investigated nuanced relationships between language/verbal abilities and social functioning in the early psychosis spectrum, including at-risk (schizotypy) and first episode of psychosis (FEP) individuals. This study aimed to examine the relationship to between language/verbal performance and performance-based and examiner-rated social functioning. We also aimed to replicate prior models that demonstrate neurocognition is related to social functioning through negative symptoms and social cognition. Low schizotypy (n = 42), high schizotypy (n = 44), and FEP (n = 15) participants completed a battery of language/verbal, social cognition, and social functioning measures. Regression analyses revealed that Proverb Test performance was uniquely and significantly associated with performance-based but not examiner-rated social functioning. Other language/verbal measures were not significantly related to social functioning. In mediational analyses, language/verbal performance was indirectly related to social functioning through negative traits, and also through social cognition. Findings extend support for negative symptom and social cognitive intervention in the early psychosis spectrum, and uniquely suggest that executively-mediated language skills may be an additional target to improve social functioning.
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Affiliation(s)
- Kaley Angers
- Department of Psychiatry, Neuropsychology Section, University of Michigan, Ann Arbor, MI, USA.
| | - Julie A Suhr
- Department of Psychology, Ohio University, Athens, OH, USA
| | - Aubrey M Moe
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA; Department of Psychology, The Ohio State University, Columbus, OH, USA
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17
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Slaney C, Sallis HM, Jones HJ, Dardani C, Tilling K, Munafò MR, Davey Smith G, Mahedy L, Khandaker GM. Association between inflammation and cognition: Triangulation of evidence using a population-based cohort and Mendelian randomization analyses. Brain Behav Immun 2023; 110:30-42. [PMID: 36791891 PMCID: PMC10728829 DOI: 10.1016/j.bbi.2023.02.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 01/23/2023] [Accepted: 02/10/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Inflammation is associated with cognitive functioning and dementia in older adults, but whether inflammation is related to cognitive functioning in youth and whether these associations are causal remains unclear. METHODS In a population-based cohort (Avon Longitudinal Study of Parents and Children; ALSPAC), we investigated cross-sectional associations of inflammatory markers (C-reactive protein [CRP], Interleukin-6 [IL-6] and Glycoprotein acetyls [GlycA]) with measures of cold (working memory, response inhibition) and hot (emotion recognition) cognition at age 24 (N = 3,305 in multiple imputation models). Furthermore, we conducted one-sample and two-sample bidirectional Mendelian randomization (MR) analyses to examine potential causal effects of genetically-proxied inflammatory markers (CRP, GlycA, IL-6, IL-6 receptor, soluble IL-6 receptor) on cognitive measures (above) and on general cognitive ability. RESULTS In the ALSPAC cohort, there was limited evidence of an association between standardised inflammatory markers and standardised cognitive measures at age 24 after adjusting for potential confounders (N = 3,305; beta range, -0.02 [95 % confidence interval (CI) -0.06 to 0.02, p = 0.27] to 0.02 [95 % CI -0.02 to 0.05, p = 0.33]). Similarly, we found limited evidence of potential effects of 1-unit increase in genetically-proxied inflammatory markers on standardised working memory, emotion recognition or response inhibition in one-sample MR using ALSPAC data (beta range, -0.73 [95 % CI -2.47 to 1.01, p = 0.41] to 0.21 [95 % CI -1.42 to 1.84, p = 0.80]; or on standardised general cognitive ability in two-sample MR using the latest Genome-Wide Association Study (GWAS) datasets (inverse-variance weighted beta range, -0.02 [95 % CI -0.05 to 0.01, p = 0.12] to 0.03 [95 % CI -0.01 to 0.07, p = 0.19]). CONCLUSIONS Our MR findings do not provide strong evidence of a potential causal effect of inflammatory markers (CRP, IL-6, IL-6 receptor, GlycA) on the cognitive functions examined here. Given the large confidence intervals in the one-sample MR, larger GWAS of specific cognitive measures are needed to enable well-powered MR analyses to investigate whether inflammation causally influences specific cognitive domains.
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Affiliation(s)
- Chloe Slaney
- MRC Integrative Epidemiology Unit at the University of Bristol, UK; School of Psychological Science, University of Bristol, 12a Priory Road, Bristol, UK; Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, UK.
| | - Hannah M Sallis
- MRC Integrative Epidemiology Unit at the University of Bristol, UK; School of Psychological Science, University of Bristol, 12a Priory Road, Bristol, UK; Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Hannah J Jones
- MRC Integrative Epidemiology Unit at the University of Bristol, UK; Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, UK; National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, UK
| | - Christina Dardani
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate Tilling
- MRC Integrative Epidemiology Unit at the University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit at the University of Bristol, UK; School of Psychological Science, University of Bristol, 12a Priory Road, Bristol, UK; National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, UK
| | - Liam Mahedy
- MRC Integrative Epidemiology Unit at the University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, UK
| | - Golam M Khandaker
- MRC Integrative Epidemiology Unit at the University of Bristol, UK; Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, UK
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18
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Gas C, Ayesa-Arriola R, Vázquez-Bourgon J, Crespo-Facorro B, García-Gavilán J, Labad J, Martorell L, Muntané G, Sanchez-Gistau V, Vilella E. Cross-sectional and longitudinal assessment of the association between DDR1 variants and processing speed in patients with early psychosis and healthy controls. J Psychiatr Res 2023; 158:49-55. [PMID: 36571911 DOI: 10.1016/j.jpsychires.2022.12.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 12/07/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
Recent evidence indicates that DDR1 participates in myelination and that variants of DDR1 are associated with decreased cognitive processing speed (PS) in schizophrenia (SZ). Here, we explored whether DDR1 variants were associated with PS in subjects diagnosed with an early psychosis (EP), a condition often preceding SZ. Data from two Spanish independent samples (from Reus and Santander) including patients with EP (n = 75 and n = 312, respectively) and healthy controls (HCs; n = 57 and n = 160) were analyzed. The Trail Making Test part A was used to evaluate PS. Participants underwent genotyping to identify DDR1 variants rs1264323 and rs2267641. Cross-sectional data were analyzed with general linear models and longitudinal data were analyzed using mixed models. We examined the combined rs1264323AA-rs2267641AC/CC genotypes (an SZ-risk combination) on PS. The SZ-risk combined genotypes were associated with increased PS in EP patients but not in HCs in the cross-sectional analysis. In the longitudinal analysis, the SZ-risk combined genotypes were significantly associated with increased PS in both HCs and EP patients throughout the 10-year follow-up but no genotype × time interaction was observed. These results provide further evidence that DDR1 is involved in cognition and should be replicated with other samples.
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Affiliation(s)
- Cinta Gas
- Fundació Pere Mata Terres de l'Ebre, Tortosa, Spain; Universitat Rovira i Virgili, Tarragona, Spain.
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marqués de Valdecilla University Hospital. IDIVAL. Universidad de Cantabria, Santander, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.
| | - Javier Vázquez-Bourgon
- Department of Psychiatry, Marqués de Valdecilla University Hospital. IDIVAL. Universidad de Cantabria, Santander, Spain; Centro Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, Marqués de Valdecilla University Hospital. IDIVAL. Universidad de Cantabria, Santander, Spain; Hospital Universitario Virgen del Rocío, Department of Psychiatry, Universidad de Sevilla, Sevilla, Spain; Instituto de Investigacion Sanitaria de Sevilla, IBiS, Spain; Centro Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.
| | - Jesús García-Gavilán
- Universitat Rovira i Virgili, Tarragona, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain; Hospital Universitari San Joan de Reus, Reus, Spain; Centro Investigación Biomédica en Red en Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain.
| | - Javier Labad
- Consorci Sanitari del Maresme, Hospital de Mataró. Barcelona, Spain; Institut d'Investigació i Innovació Parc Taulí (I3PT). Barcelona, Spain; Centro Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.
| | - Lourdes Martorell
- Universitat Rovira i Virgili, Tarragona, Spain; Hospital Universitari Institut Pere Mata, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain; Centro Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.
| | - Gerard Muntané
- Universitat Rovira i Virgili, Tarragona, Spain; Hospital Universitari Institut Pere Mata, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain; Centro Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.
| | - Vanessa Sanchez-Gistau
- Universitat Rovira i Virgili, Tarragona, Spain; Hospital Universitari Institut Pere Mata, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain; Centro Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.
| | - Elisabet Vilella
- Universitat Rovira i Virgili, Tarragona, Spain; Hospital Universitari Institut Pere Mata, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain; Centro Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.
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19
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Khan MM, Parikh V. Prospects for Neurotrophic Factor-Based Early Intervention in Schizophrenia: Lessons Learned from the Effects of Antipsychotic Drugs on Cognition, Neurogenesis, and Neurotrophic Factors. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2023; 22:289-303. [PMID: 35366786 DOI: 10.2174/1871527321666220401124151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 02/13/2022] [Accepted: 02/18/2022] [Indexed: 12/16/2022]
Abstract
Although reducing psychotic symptoms in schizophrenia has been a major focus of therapeutic interventions for decades, improving cognition is considered a better predictor of functional outcomes. However, the most commonly prescribed antipsychotic drugs (APDs) show only marginal beneficial effects on cognition in patients with schizophrenia. The neural mechanisms underlying cognitive disturbances in schizophrenia remain unknown that making drug development efforts very challenging. Since neurotrophic factors are the primary architects of neurogenesis, synaptic plasticity, learning, and memory, the findings from preclinical and clinical studies that assess changes in neurogenesis and neurotrophic factors and their relationship to cognitive performance in schizophrenia, and how these mechanisms might be impacted by APD treatment, may provide valuable clues in developing therapies to combat cognitive deficit in schizophrenia. Numerous evidence produced over the years suggests a deficit in a wide spectrum of neurotrophic factors in schizophrenia. Since schizophrenia is considered a neurodevelopmental disorder, early intervention with neurotrophic factors may be more effective in ameliorating the cognitive deficits and psychopathological symptoms associated with this pathology. In this context, results from initial clinical trials with neurotrophic factors and their future potential to improve cognition and psychosocial functioning in schizophrenia are discussed.
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Affiliation(s)
- Mohammad M Khan
- Laboratory of Translational Neurology and Molecular Psychiatry, Department of Biotechnology, Era\'s Lucknow Medical College and Hospital, and Faculty of Science, Era University, Lucknow, UP, India
| | - Vinay Parikh
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA, USA
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20
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Frosch IR, Damme KSF, Bernard JA, Mittal VA. Cerebellar correlates of social dysfunction among individuals at clinical high risk for psychosis. Front Psychiatry 2022; 13:1027470. [PMID: 36532176 PMCID: PMC9752902 DOI: 10.3389/fpsyt.2022.1027470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 11/01/2022] [Indexed: 12/03/2022] Open
Abstract
Introduction Social deficits are a significant feature among both individuals with psychosis and those at clinical high-risk (CHR) for developing psychosis. Critically, the psychosis risk syndrome emerges in adolescence and young adulthood, when social skill development is being fine-tuned. Yet, the underlying pathophysiology of social deficits in individuals at CHR for psychosis remains unclear. Literature suggests the cerebellum plays a critical role in social functioning. Cerebellar dysfunction in psychosis and CHR individuals is well-established, yet limited research has examined links between the cerebellum and social functioning deficits in this critical population. Method In the current study, 68 individuals at CHR for developing psychosis and 66 healthy controls (HCs) completed social processing measures (examining social interaction, social cognition, and global social functioning) and resting-state MRI scans. Seed-to-voxel resting-state connectivity analyses were employed to examine the relationship between social deficits and lobular cerebellar network connectivity. Results Analyses indicated that within the CHR group, each social domain variable was linked to reduced connectivity between social cerebellar subregions (e.g., Crus II, lobules VIIIa and VIIIb) and cortical regions (e.g., frontal pole and frontal gyrus), but a control cerebellar subregion (e.g., lobule X) and was unrelated to these social variables. Discussion These results indicate an association between several cerebellar lobules and specific deficits in social processing. The cerebellum, therefore, may be particularly salient to the social domain and future research is need to examine the role of the cerebellum in psychosis.
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Affiliation(s)
- Isabelle R. Frosch
- Department of Psychology, Northwestern University, Evanston, IL, United States
| | - Katherine S. F. Damme
- Department of Psychology, Northwestern University, Evanston, IL, United States
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston, IL, United States
| | - Jessica A. Bernard
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, United States
- Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, United States
| | - Vijay A. Mittal
- Department of Psychology, Northwestern University, Evanston, IL, United States
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston, IL, United States
- Department of Psychiatry, Northwestern University, Chicago, IL, United States
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, United States
- Institute for Policy Research, Northwestern University, Chicago, IL, United States
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Mayeli A, Clancy KJ, Sonnenschein S, Sarpal DK, Ferrarelli F. A narrative review of treatment interventions to improve cognitive performance in schizophrenia, with an emphasis on at-risk and early course stages. Psychiatry Res 2022; 317:114926. [PMID: 36932470 PMCID: PMC10729941 DOI: 10.1016/j.psychres.2022.114926] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/19/2022] [Accepted: 10/22/2022] [Indexed: 10/31/2022]
Abstract
Cognitive dysfunction is a core feature of schizophrenia (SCZ), which unfavorably affects SCZ patients' daily functioning and overall clinical outcome. An increasing body of evidence has shown that cognitive deficits are present not only at the beginning of the illness but also several years before the onset of psychosis. Nonetheless, the majority of treatment interventions targeting cognitive dysfunction in SCZ, using both pharmacological and nonpharmacological approaches, have focused on chronic patients rather than individuals at high risk or in the early stages of the disease. In this article, we provide a narrative review of cognitive interventions in SCZ patients, with a particular focus on pre-emptive interventions in at-risk/early course individuals when available. Furthermore, we discuss current challenges for these pre-emptive treatment interventions and provide some suggestions on how future work may ameliorate cognitive dysfunction in these individuals.
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Affiliation(s)
- Ahmad Mayeli
- Department of Psychiatry, University of Pittsburgh, 3501 Forbes Ave, Suite 456, Pittsburgh, PA 15213, USA
| | - Kevin J Clancy
- Department of Psychiatry, University of Pittsburgh, 3501 Forbes Ave, Suite 456, Pittsburgh, PA 15213, USA
| | - Susan Sonnenschein
- Department of Psychiatry, University of Pittsburgh, 3501 Forbes Ave, Suite 456, Pittsburgh, PA 15213, USA
| | - Deepak K Sarpal
- Department of Psychiatry, University of Pittsburgh, 3501 Forbes Ave, Suite 456, Pittsburgh, PA 15213, USA
| | - Fabio Ferrarelli
- Department of Psychiatry, University of Pittsburgh, 3501 Forbes Ave, Suite 456, Pittsburgh, PA 15213, USA.
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22
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Premorbid adjustment associates with cognitive and functional deficits in individuals at ultra-high risk of psychosis. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:79. [PMID: 36207320 PMCID: PMC9547050 DOI: 10.1038/s41537-022-00285-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 08/03/2022] [Indexed: 11/05/2022]
Abstract
Premorbid social and academic adjustment are important predictors of cognitive and functional performance in schizophrenia. Whether this relationship is also present in individuals at ultra-high risk (UHR) for psychosis is the focus of the present study. Using baseline data from a randomised clinical trial (N = 146) this study investigated associations between premorbid adjustment and neuro- and social cognition and functioning in UHR individuals aged 18–40 years. Patients were evaluated with the Premorbid Adjustment Scale (PAS) comprising a social and an academic domain. Using validated measures neurocognition was assessed in the domains of processing speed, executive function, attention, verbal learning and memory, visual learning and memory, and working memory along with estimated IQ. Social cognitive domains assessed were theory of mind, emotion recognition, and attributional bias. Functional assessment comprised the domains of social- and role functioning, functional capacity, and quality of life. Linear regression analyses revealed poor premorbid academic adjustment to be associated with poorer performance in processing speed, working memory, attention, full scale IQ, and verbal IQ. Poor premorbid social adjustment was associated with theory of mind deficits. Additionally, both premorbid adjustment domains were associated with social- and role functioning and quality of life. Corroborating evidence from schizophrenia samples, our findings indicate poor premorbid adjustment to correlate with deficits in specific cognitive and functional domains in UHR states. Early premorbid adjustment difficulties may therefore indicate a poor cognitive and functional trajectory associated with significant impairments in early and established psychotic disorders suggesting targets for primary intervention.
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Karcher NR, Merchant J, Pine J, Kilciksiz CM. Cognitive Dysfunction as a Risk Factor for Psychosis. Curr Top Behav Neurosci 2022; 63:173-203. [PMID: 35989398 DOI: 10.1007/7854_2022_387] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The current chapter summarizes recent evidence for cognition as a risk factor for the development of psychosis, including the range of cognitive impairments that exist across the spectrum of psychosis risk symptoms. The chapter examines several possible theories linking cognitive deficits with the development of psychotic symptoms, including evidence that cognitive deficits may be an intermediate risk factor linking genetic and/or neural metrics to psychosis spectrum symptoms. Although there is not strong evidence for unique cognitive markers associated specifically with psychosis compared to other forms of psychopathology, psychotic disorders are generally associated with the greatest severity of cognitive deficits. Cognitive deficits precede the development of psychotic symptoms and may be detectable as early as childhood. Across the psychosis spectrum, both the presence and severity of psychotic symptoms are associated with mild to moderate impairments across cognitive domains, perhaps most consistently for language, cognitive control, and working memory domains. Research generally indicates the size of these cognitive impairments worsens as psychosis symptom severity increases. The chapter points out areas of unclarity and unanswered questions in each of these areas, including regarding the mechanisms contributing to the association between cognition and psychosis, the timing of deficits, and whether any cognitive systems can be identified that function as specific predictors of psychosis risk symptoms.
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Affiliation(s)
- Nicole R Karcher
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
| | - Jaisal Merchant
- Department of Brain and Psychological Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Jacob Pine
- Department of Brain and Psychological Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Can Misel Kilciksiz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
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Ruiz-Castañeda P, Santiago Molina E, Aguirre Loaiza H, Daza González MT. Positive symptoms of schizophrenia and their relationship with cognitive and emotional executive functions. Cogn Res Princ Implic 2022; 7:78. [PMID: 35960384 PMCID: PMC9374871 DOI: 10.1186/s41235-022-00428-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 07/27/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Positive symptoms of schizophrenia are associated with significant difficulties in daily functioning, and these difficulties have been associated with impaired executive functions (EEFF). However, specific cognitive and socio-emotional executive deficits have not been fully established. OBJECTIVE The present study has several objectives. First, we aimed to examine the specific deficits in cognitive and socio-emotional EEFF in a group of patients with schizophrenia with a predominance of positive symptoms, as well as to determine if these patients present clinically significant scores in any of the three fronto-subcortical behavioral syndromes: Dorsolateral, Orbitofrontal, or Anterior Cingulate. METHOD The sample consisted of 54 patients, 27 with a predominance of positive symptoms, and 27 healthy controls matched for gender, age, and education. The two groups completed four cognitive and three socio-emotional EEFF tasks. In the group of patients, positive symptoms were evaluated using the scale for the Evaluation of Positive Symptoms (SANS), while the behavioral alterations associated with the three fronto-subcortical syndromes were evaluated using the Frontal System Behavior Scale (FrSBe). RESULTS The patients, in comparison with a control group, presented specific deficits in cognitive and socio-emotional EEFF. In addition, a high percentage of patients presented clinically significant scores on the three fronto-subcortical syndromes. CONCLUSION The affectation that these patients present, in terms of both cognitive and emotional components, highlights the importance of developing a neuropsychological EEFF intervention that promotes the recovery of the affected cognitive capacities and improves the social and emotional functioning of the affected patients.
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Affiliation(s)
- Pamela Ruiz-Castañeda
- Neuropsychological Evaluation and Rehabilitation Center (CERNEP), University of Almeria, Carretera de Sacramento, s / n. La Cañada de San Urbano. 04120, Almeria, Spain
- Department of Psychology, University of Almeria Spain, Carretera de Sacramento, s /n. La Cañada de San Urbano. 04120, Almeria, Spain
| | - Encarnación Santiago Molina
- Mental Health Hospitalization Unit of Torrecárdenas University Hospital, Calle Hermandad de Donantes de Sangre, s/n, 04009, Almería, Spain
| | - Haney Aguirre Loaiza
- Department of Psychology, Catholic University of Pereira, Avenida Sur/Las Americas Cra 21 # 49-95, Pereira, Colombia
| | - María Teresa Daza González
- Neuropsychological Evaluation and Rehabilitation Center (CERNEP), University of Almeria, Carretera de Sacramento, s / n. La Cañada de San Urbano. 04120, Almeria, Spain.
- Department of Psychology, University of Almeria Spain, Carretera de Sacramento, s /n. La Cañada de San Urbano. 04120, Almeria, Spain.
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25
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Kantor JR, Gur RC, Calkins ME, Moore TM, Port AM, Ruparel K, Scott JC, Troyan S, Gur RE, Roalf DR. Comparison of two cognitive screening measures in a longitudinal sample of youth at-risk for psychosis. Schizophr Res 2022; 246:216-224. [PMID: 35809354 PMCID: PMC10838490 DOI: 10.1016/j.schres.2022.06.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 06/13/2022] [Accepted: 06/19/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Validated screening tools are needed to detect subtle cognitive impairment in individuals at-risk for developing psychosis. Here, the utility of the Mini-Mental Status Examination (MMSE) and Penn Computerized Neurocognitive Battery (CNB) were evaluated for detecting cognitive impairment in individuals with psychosis spectrum (PS) symptoms. METHODS Participants (n = 229; 54 % female) completed the MMSE and CNB at baseline and two-year follow-up. PS (n = 91) and typically developing (TD; n = 138) participants were enrolled at baseline based on the presence or absence of PS symptoms. After two years, 65 participants remained PS, 104 participants remained TD, 23 participants had Emergent (EP) subthreshold PS symptoms, and 37 participants were experiencing Other Psychopathology (OP). RESULTS Generally, those with PS had lower scores than TD on both the MMSE (p < 0.0001) and CNB (p < 0.0001). Additionally, OP participants performed lower on the MMSE than TD (p = 0.02). Receiver operating characteristic (ROC) analyses indicated similar area under the curve (AUCs) for the two instruments (0.67); the MMSE showed higher specificity (0.71 vs. 0.62), while the CNB showed higher sensitivity (0.66 vs 0.52). Use of the MMSE and CNB in combination provided the highest diagnostic classification. CONCLUSION The MMSE and CNB can be used to screen for cognitive impairment in PS. The MMSE is better at ruling out PS-related cognitive impairment while the CNB is better at ruling in PS-related cognitive impairment. Overall, our results indicate that both tests are useful in screening for cognitive impairment, particularly in combination, in a PS population.
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Affiliation(s)
- Jenna R Kantor
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA
| | - Ruben C Gur
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA
| | - Monica E Calkins
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA
| | - Tyler M Moore
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA
| | - Allison M Port
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA
| | - Kosha Ruparel
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA
| | - J Cobb Scott
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; VISN4 Mental Illness Research, Education, and Clinical Center at the Philadelphia VA Medical Center, Philadelphia, PA 19104, USA
| | - Scott Troyan
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA
| | - Raquel E Gur
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA
| | - David R Roalf
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, USA.
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26
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Mohn-Haugen CR, Mohn C, Larøi F, Teigset CM, Øie MG, Rund BR. A systematic review of premorbid cognitive functioning and its timing of onset in schizophrenia spectrum disorders. Schizophr Res Cogn 2022; 28:100246. [PMID: 35251943 PMCID: PMC8892142 DOI: 10.1016/j.scog.2022.100246] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 02/18/2022] [Accepted: 02/20/2022] [Indexed: 11/24/2022]
Abstract
Cognitive impairments are core features of established schizophrenia spectrum disorders (SSD). However, it remains unclear whether specific cognitive functions are differentially impaired pre-onset and at what age these impairments can be detected. The purpose of this review was to elucidate these issues through a systematic summary of results from longitudinal studies investigating impairment in specific cognitive domains as antecedents of SSD. Relevant studies were identified by electronic and manual literature searches and included any original study of cognitive domains any time pre-onset of SSDs that included a control group. Effect sizes were calculated by domain for studies comparing high-risk participants who developed SSD with those who did not. The strongest evidence for impairment pre-onset was for mental processing speed, verbal learning and memory, executive function, and social cognition. Some verbal impairments, like language abilities at age 3 and verbal learning and memory at age 7, may develop as static deficits. Conversely, some non-verbal impairments, like mental processing speed, visuospatial abilities, and visual working memory manifest as developmental lag and become significant later in life. Most effect sizes were small to moderate, except for verbal fluency (d' = 0,85), implying this impairment as central in high-risk participants who develop SSD. The present review documents extensive cognitive impairments pre-onset of SSD, and that these impairments start early in life, in line with the neurodevelopmental hypothesis of schizophrenia. Increased knowledge about cognitive impairments preonset can provide a better basis for understanding the complex pathogenesis of SSD as well as informing cognitive remediation programs.
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Affiliation(s)
- Caroline Ranem Mohn-Haugen
- Research Department, Vestre Viken Hospital Trust, 3004 Drammen, Norway
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
| | - Christine Mohn
- Norment Centre, Institute of Clinical Medicine, University of Oslo, P.O. box 4956, Nydalen, 0424 Oslo, Norway
| | - Frank Larøi
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
- Psychology and Neuroscience of Cognition Research Unit, University of Liège, B-4000, Belgium
| | | | - Merete Glenne Øie
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
| | - Bjørn Rishovd Rund
- Research Department, Vestre Viken Hospital Trust, 3004 Drammen, Norway
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
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27
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Hedges EP, Dickson H, Tognin S, Modinos G, Antoniades M, van der Gaag M, de Haan L, McGorry P, Pantelis C, Riecher-Rössler A, Bressan R, Barrantes-Vidal N, Krebs MO, Nordentoft M, Ruhrmann S, Sachs G, Rutten BP, van Os J, Valmaggia LR, McGuire P, Kempton MJ. Verbal memory performance predicts remission and functional outcome in people at clinical high-risk for psychosis. Schizophr Res Cogn 2022; 28:100222. [PMID: 35242602 PMCID: PMC8861401 DOI: 10.1016/j.scog.2021.100222] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/11/2021] [Accepted: 10/11/2021] [Indexed: 10/26/2022]
Abstract
Robust deficits in cognitive functioning are present in people with psychosis and are evident in the early stages of the disorder. Impairments in verbal memory and verbal fluency are reliably seen in individuals at clinical high-risk for psychosis (CHR) compared to healthy populations. As previous studies have shown a relationship between cognition and longer-term outcomes in schizophrenia, the aim of this paper was to explore whether verbal memory and verbal fluency performance predicted outcomes in a large CHR sample recruited as part of the EU-GEI High Risk Study. Participants included 316 CHR individuals, 90.8% of whom were not currently on antipsychotic medication, and 60 healthy controls. Verbal memory and verbal fluency performance were measured at baseline. At two-year follow-up, CHR individuals were assessed by three different outcome measures, those who did and did not (1) transition to psychosis, (2) experience burdening impairment or disabilities, or (3) remit clinically from CHR status. Individuals with CHR displayed significant verbal memory and verbal fluency deficits at baseline compared to healthy controls (Hedges' g effect size = 0.24 to 0.66). There were no significant differences in cognitive performance of those who did and did not transition to psychosis. However, impaired immediate verbal recall predicted both functional disability and non-remission from the CHR state. Results remained significant when analyses were restricted to only include antipsychotic-free CHR participants. These findings may inform the development of early interventions designed to improve cognitive deficits in the early stages of psychosis.
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Affiliation(s)
- Emily P. Hedges
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
- Corresponding author at: Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, SE5 8AF, United Kingdom.
| | - Hannah Dickson
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Stefania Tognin
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Gemma Modinos
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Mathilde Antoniades
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY 10029, United States
| | - Mark van der Gaag
- VU University, Faculty of Behavioural and Movement Sciences, Department of Clinical Psychology and EMGO+ Institute for Health and Care Research, van der Boechorststraat 1, 1081, BT, Amsterdam, the Netherlands
- Parnassia Psychiatric Institute, Department of Psychosis Research, Zoutkeetsingel 40, 2512, HN, The Hague, the Netherlands
| | - Lieuwe de Haan
- Amsterdam UMC, Department Early Psychosis, Meibergdreef 5, 1105, AZ, Amsterdam, the Netherlands
- Arkin Amsterdam, the Netherlands
| | - Patrick McGorry
- Centre for Youth Mental Health, University of Melbourne, 35 Poplar Road (Locked Bag 10), Parkville, Victoria 485 3052, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Carlton South, Vic, Australia
| | | | - Rodrigo Bressan
- LiNC - Lab Interdisciplinar Neurociências Clínicas, Depto Psiquiatria, Escola Paulista de Medicina, Universidade Federal de São Paulo – UNIFESP, Brazil
| | - Neus Barrantes-Vidal
- Departament de Psicologia Clínica i de la Salut (Universitat Autònoma de Barcelona), Fundació Sanitària Sant Pere Claver (Spain), Spanish Mental Health Research Network (CIBERSAM), Spain
| | - Marie-Odile Krebs
- University of Paris, GHU Psychiatrie et Neurosciences of Paris, Sainte-Anne, C’JAAD, pôle PEPIT, Inserm 1266, Institut de Psychiatrie (CNRS 3557), Paris, France
| | - Merete Nordentoft
- Mental Health Center Copenhagen and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Center Glostrup, Mental Health Services in the Capital Region of Copenhagen, University of Copenhagen, Denmark
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Gabriele Sachs
- Medical University of Vienna, Department of Psychiatry and Psychotherapy, Austria
| | - Bart P. Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, P.O. Box 616, 6200 MD 464 Maastricht, the Netherlands
| | - Jim van Os
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, P.O. Box 616, 6200 MD 464 Maastricht, the Netherlands
| | | | - Lucia R. Valmaggia
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Matthew J. Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
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Haas SS, Doucet GE, Antoniades M, Modabbernia A, Corcoran CM, Kahn RS, Kambeitz J, Kambeitz-Ilankovic L, Borgwardt S, Brambilla P, Upthegrove R, Wood SJ, Salokangas RK, Hietala J, Meisenzahl E, Koutsouleris N, Frangou S. Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function. Schizophr Res Cogn 2022; 29:100252. [PMID: 35391789 PMCID: PMC8980307 DOI: 10.1016/j.scog.2022.100252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 03/26/2022] [Accepted: 03/27/2022] [Indexed: 11/28/2022]
Abstract
Objective Social dysfunction is a major feature of clinical-high-risk states for psychosis (CHR-P). Prior research has identified a neuroanatomical pattern associated with impaired social function outcome in CHR-P. The aim of the current study was to test whether social dysfunction in CHR-P is neurobiologically distinct or in a continuum with the lower end of the normal distribution of individual differences in social functioning. Methods We used a machine learning classifier to test for the presence of a previously validated brain structural pattern associated with impaired social outcome in CHR-P (CHR-outcome-neurosignature) in the neuroimaging profiles of individuals from two non-clinical samples (total n = 1763) and examined its association with social function, psychopathology and cognition. Results Although the CHR-outcome-neurosignature could be detected in a subset of the non-clinical samples, it was not associated was adverse social outcomes or higher psychopathology levels. However, participants whose neuroanatomical profiles were highly aligned with the CHR-outcome-neurosignature manifested subtle disadvantage in fluid (PFDR = 0.004) and crystallized intelligence (PFDR = 0.01), cognitive flexibility (PFDR = 0.02), inhibitory control (PFDR = 0.01), working memory (PFDR = 0.0005), and processing speed (PFDR = 0.04). Conclusions We provide evidence of divergence in brain structural underpinnings of social dysfunction derived from a psychosis-risk enriched population when applied to non-clinical samples. This approach appears promising in identifying brain mechanisms bound to psychosis through comparisons of patient populations to non-clinical samples with the same neuroanatomical profiles.
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Affiliation(s)
- Shalaila S. Haas
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Gaelle E. Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, 14090 Mother Teresa Lane, Boys Town, NE 68010, USA
| | - Mathilde Antoniades
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA
| | - Amirhossein Modabbernia
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Cheryl M. Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - René S. Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Joseph Kambeitz
- University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Strasse 62, 50937 Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Strasse 62, 50937 Cologne, Germany,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Nussbaumstraße 7, 80336 München, Germany
| | - Stefan Borgwardt
- Department of Psychiatry, University Psychiatric Clinics (UPK), University of Basel, Wilhelm Klein-Strasse 27, 4002 Basel, Switzerland,Department of Psychiatry, Psychosomatics and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck 23538, Germany
| | - Paolo Brambilla
- Department of Neuroscience and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milano, Italy,Department of Pathophysiology and Mental Health, University of Milan, Via Francesco Sforza 35, 20122 Milano, Italy
| | - Rachel Upthegrove
- Early Intervention Service, Birmingham Womens and Childrens NHS Trust, Steelhouse Lane, Birmingham, B4 6NH, UK,Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Stephen J. Wood
- Department of Pathophysiology and Mental Health, University of Milan, Via Francesco Sforza 35, 20122 Milano, Italy,Orygen, 35 Poplar Rd, Parkville, VIC 3052, Australia,Centre for Youth Mental Health, University of Melbourne, Grattan Street, Parkville, Victoria 3010, Australia
| | - Raimo K.R. Salokangas
- Department of Psychiatry, University of Turku and Turku University Hospital, FI-20014 Turun yliopisto, Finland
| | - Jarmo Hietala
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Moorenstrße 5, 40225 Düsseldorf, Germany
| | - Eva Meisenzahl
- Max-Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804 München, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Nussbaumstraße 7, 80336 München, Germany,Max-Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804 München, Germany,Institute of Psychiatry, Psychology and Neuroscience, King's College London, Denmark Hill, SE5 8AF London, UK
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA,Department of Psychiatry, Djavad Mowafaghian Centre for Brain Health, 2215 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada,Corresponding author at: Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, NY, 10029, NY, USA.
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Allott K, Schmidt SJ, Yuen HP, Wood SJ, Nelson B, Markulev C, Lavoie S, Brewer WJ, Schäfer MR, Mossaheb N, Schlögelhofer M, Smesny S, Hickie IB, Berger GE, Chen EYH, de Haan L, Nieman DH, Nordentoft M, Riecher-Rössler A, Verma S, Thompson A, Yung AR, Amminger P, McGorry PD, Hartmann J. Twelve-Month Cognitive Trajectories in Individuals at Ultra-High Risk for Psychosis: A Latent Class Analysis. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac008. [PMID: 39144786 PMCID: PMC11205973 DOI: 10.1093/schizbullopen/sgac008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Understanding longitudinal cognitive performance in individuals at ultra-high risk for psychosis (UHR) is important for informing theoretical models and treatment. A vital step in this endeavor is to determine whether there are UHR subgroups that have similar patterns of cognitive change over time. The aims were to: i) identify latent class trajectories of cognitive performance over 12-months in UHR individuals, ii) identify baseline demographic and clinical predictors of the resulting classes, and iii) determine whether trajectory classes were associated with transition to psychosis or functional outcomes. Cognition was assessed using the Brief Assessment of Cognition in Schizophrenia (BACS) at baseline, 6- and 12-months (N = 288). Using Growth Mixture Modeling, a single unimpaired improving trajectory class was observed for motor function, speed of processing, verbal fluency, and BACS composite. A two-class solution was observed for executive function and working memory, showing one unimpaired and a second impaired class. A three-class solution was found for verbal learning and memory: unimpaired, mildly impaired, and initially extremely impaired, but improved ("caught up") to the level of the mildly impaired. IQ, omega-3 index, and premorbid adjustment were associated with class membership, whereas clinical variables (symptoms, substance use), including transition to psychosis, were not. Working memory and verbal learning and memory trajectory class membership was associated with functioning outcomes. These findings suggest there is no short-term progressive cognitive decline in help-seeking UHR individuals, including those who transition to psychosis. Screening of cognitive performance may be useful for identifying UHR individuals who may benefit from targeted cognitive interventions.
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Affiliation(s)
- Kelly Allott
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Stefanie J Schmidt
- Department of Clinical Child and Adolescent Psychology, University of Bern, Switzerland
| | - Hok Pan Yuen
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Stephen J Wood
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
- School of Psychology, University of Birmingham, Birmingham, UK
| | - Barnaby Nelson
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Connie Markulev
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Suzie Lavoie
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Warrick J Brewer
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Miriam R Schäfer
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Nilufar Mossaheb
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria
| | - Monika Schlögelhofer
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria
| | - Stefan Smesny
- Department of Psychiatry, University Hospital Jena, Jena, Germany
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Gregor Emanuel Berger
- Child and Adolescent Psychiatric Service of the Canton of Zurich, Zurich, Switzerland
| | - Eric Y H Chen
- Department of Psychiatry, University of Hong Kong, Hong Kong, Hong Kong
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Dorien H Nieman
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Merete Nordentoft
- Mental Health Centre Copenhagen, Department of Clinical Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Swapna Verma
- Institute of Mental Health, Singapore, Singapore
| | - Andrew Thompson
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
- Unit of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK
| | - Alison R Yung
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, Australia
- Division of Psychology and Mental Health, University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Paul Amminger
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Patrick D McGorry
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Jessica Hartmann
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
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Susai SR, Sabherwal S, Mongan D, Föcking M, Cotter DR. Omega-3 fatty acid in ultra-high-risk psychosis: A systematic review based on functional outcome. Early Interv Psychiatry 2022; 16:3-16. [PMID: 33652502 DOI: 10.1111/eip.13133] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 01/12/2021] [Accepted: 01/31/2021] [Indexed: 12/27/2022]
Abstract
AIM Among different types of poly unsaturated fatty acids, omega-3 fatty acids (FA) play a substantial role in brain development and functioning. This review was designed to evaluate and synthesize available evidence regarding omega-3 FAs and functional outcome in the ultra-high-risk (UHR) population. METHODS An electronic search in PubMed, EMBASE, PSYCINFO and COCHRANE search engines has been performed for all articles published until January 2019. The studies that have data regarding omega-3 FAs and functional outcome in UHR population were included. RESULTS Out of 397 nonduplicate citations, 19 articles met selection criteria. These articles were from four different primary studies, namely the Program of Rehabilitation and Therapy (PORT), the North American Prodromal Longitudinal Studies (NAPLS), Vienna High Risk study (VHR) and the NEURAPRO. The data from the NAPLS study found a positive correlation between functional improvement and frequency of dietary intake omega-3 FA. Moreover, among the erythrocyte omega-3 FA only eicosapentaenoic acid (EPA) showed a positive correlation with functional score. The VHR study found long-term improvement in functional outcome in omega-3 group compared to control, whereas such difference was noticed in the NEURAPRO. In the VHR study both omega-3 and omega-6 together predicted the functional improvement at 12 weeks. CONCLUSIONS The number of studies available remains insufficient and more studies with standardized outcome measures in a clinically comparable UHR population would be of more value to understand the clinical benefits of omega-3 FA in the UHR population.
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Affiliation(s)
- Subash Raj Susai
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Sophie Sabherwal
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - David Mongan
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Melanie Föcking
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - David R Cotter
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
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31
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Vita A, Gaebel W, Mucci A, Sachs G, Erfurth A, Barlati S, Zanca F, Giordano GM, Birkedal Glenthøj L, Nordentoft M, Galderisi S. European Psychiatric Association guidance on assessment of cognitive impairment in schizophrenia. Eur Psychiatry 2022; 65:e58. [PMID: 36059109 PMCID: PMC9532219 DOI: 10.1192/j.eurpsy.2022.2316] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Background Impairment in a wide range of cognitive abilities has been consistently reported in individuals with schizophrenia. Both neurocognitive and social cognitive deficits are thought to underlie severe functional disabilities associated with schizophrenia. Despite the key role in schizophrenia outcome, cognition is still poorly assessed in both research and clinical settings. Methods In this guidance paper, we provide a systematic review of the scientific literature and elaborate several recommendations for the assessment of cognitive functions in schizophrenia both in research settings and in real-world clinical practice. Results Expert consensus and systematic reviews provided guidance for the optimal assessment of cognitive functions in schizophrenia. Based on the reviewed evidence, we recommend a comprehensive and systematic assessment of neurocognitive and social cognitive domains in schizophrenia, in all phases of the disorder, as well as in subjects at risk to develop psychosis. This European Psychiatric Association guidance recommends not only the use of observer reports but also self-reports and interview-based cognitive assessment tools. The guidance also provides a systematic review of the state of the art of assessment in the first episode of psychosis patients and in individuals at risk for psychosis. Conclusion The comprehensive review of the evidence and the recommendations might contribute to advance the field, allowing a better cognitive assessment, and avoiding overlaps with other psychopathological dimensions. The dissemination of this guidance paper may promote the development of shared guidelines concerning the assessment of cognitive functions in schizophrenia, with the purpose to improve the quality of care and to obtain recovery.
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Salokangas RKR, From T, Ilonen T, Luutonen S, Heinimaa M, Armio RL, Laurikainen H, Walta M, Paju J, Toivonen A, Jalo P, Tuominen L, Hietala J. Short-term functional outcome in psychotic patients: results of the Turku early psychosis study (TEPS). BMC Psychiatry 2021; 21:602. [PMID: 34856968 PMCID: PMC8641211 DOI: 10.1186/s12888-021-03516-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 09/28/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Functional recovery of patients with clinical and subclinical psychosis is associated with clinical, neuropsychological and developmental factors. Less is known about how these factors predict functional outcomes in the same models. We investigated functional outcomes and their predictors in patients with first-episode psychosis (FEP) or a confirmed or nonconfirmed clinical high risk of psychosis (CHR-P vs. CHR-N). METHODS Altogether, 130 patients with FEP, 60 patients with CHR-P and 47 patients with CHR-N were recruited and extensively examined at baseline (T0) and 9 (T1) and 18 (T2) months later. Global Assessment of Functioning (GAF) at T0, T1 and T2 and psychotic, depression, and anxiety symptoms at T1 and T2 were assessed. Functional outcomes were predicted using multivariate repeated ANOVA. RESULTS During follow-up, the GAF score improved significantly in patients with FEP and CHR-P but not in patients with CHR-N. A single marital status, low basic education level, poor work situation, disorganization symptoms, perceptual deficits, and poor premorbid adjustment in patients with FEP, disorganization symptoms and poor premorbid adjustment in patients with CHR-P, and a low basic education level, poor work situation and general symptoms in patients with CHR-N predicted poor functional outcomes. Psychotic symptoms at T1 in patients with FEP and psychotic and depression symptoms at T1 and anxiety symptoms at T2 in patients with CHR-P were associated with poor functioning. CONCLUSIONS In patients with FEP and CHR-P, poor premorbid adjustment and disorganization symptomatology are common predictors of the functional outcome, while a low education level and poor work situation predict worse functional outcomes in patients with FEP and CHR-N. Interventions aimed at improving the ability to work and study are most important in improving the functioning of patients with clinical or subclinical psychosis.
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Affiliation(s)
- Raimo K R Salokangas
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland.
| | - Tiina From
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Tuula Ilonen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Sinikka Luutonen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
- Department of Psychiatry, Turku University Hospital, Turku, Finland
| | - Markus Heinimaa
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Reetta-Liina Armio
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Heikki Laurikainen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Maija Walta
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Janina Paju
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Anna Toivonen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Päivi Jalo
- Department of Psychiatry, Turku University Hospital, Turku, Finland
| | - Lauri Tuominen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
- Royal Ottawa Mental Health Centre, Ottawa, Canada
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
- Department of Psychiatry, Turku University Hospital, Turku, Finland
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Ventura J, Jouini L, Aissa A, Larnaout A, Nefzi R, Ghazzai M, Jelili S, Fekih-Romdhane F, Ouali U, Nacef F. Establishing a clinical high-risk program in Tunisia, North Africa: A pilot study in early detection and identification. Early Interv Psychiatry 2021; 15:1777-1783. [PMID: 33477201 DOI: 10.1111/eip.13119] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 12/21/2020] [Accepted: 01/04/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Early identification and prevention research has provided huge advances in our understanding of early screening and identification of young people at clinical high-risk (CHR). Most of these procedures were developed in high-income countries, yet middle-income countries in North Africa such as Tunisia can benefit from these empirically-based assessment approaches. METHODS Using established procedures, nine Tunisian psychiatric raters were trained on structured assessments: the CAARMS, BPRS, and SCID to high standards of interrater reliability. These raters developed a clinical high-risk program (CHiRP) in Tunisia and recruited 10 patients who were exhibiting possible signs of CHR. These patients were evaluated to determine if they met criteria for a CHR group, such as Attenuated Psychosis. RESULTS Trained raters met the following interrater reliability criteria for the CAARMS and BPRS (ICC = .80 or greater) and the SCID (Kappa = .75 or greater). Of 10 pilot patients, six were classified as CHR and belonging to the Attenuated Psychosis Group. One of the six patients converted to psychosis 3 months after study entry for a conversion rate of 17% which is comparable with currently published rates globally. DISCUSSION The first CHR program has been established in Tunisia, a middle-income country using methods developed in high income countries. Efforts aimed at assembling a group of prevention-oriented psychiatrists, obtaining administrative support, and training raters to high levels of interrater reliability were successful. The feasibility was demonstrated for screening, assessing, treating, and following-up of 10 CHR patients suggesting that conversion rates are comparable to those of Western and European countries.
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Affiliation(s)
- Joseph Ventura
- UCLA Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA
| | - Lamia Jouini
- Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.,Department of Psychiatry, Razi Hospital, Tunis, Tunisia
| | - Amina Aissa
- Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.,Department of Psychiatry, Razi Hospital, Tunis, Tunisia
| | - Amine Larnaout
- Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.,Department of Psychiatry, Razi Hospital, Tunis, Tunisia
| | - Rahma Nefzi
- Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.,Department of Psychiatry, Razi Hospital, Tunis, Tunisia
| | - Malek Ghazzai
- Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.,Department of Psychiatry, Razi Hospital, Tunis, Tunisia
| | - Sélima Jelili
- Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.,Department of Child and Adolescent Psychiatry, Razi Hospital, Tunis, Tunisia
| | - Feten Fekih-Romdhane
- Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.,Department of Psychiatry, Razi Hospital, Tunis, Tunisia
| | - Uta Ouali
- Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.,Department of Psychiatry, Razi Hospital, Tunis, Tunisia
| | - Fethi Nacef
- Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.,Department of Psychiatry, Razi Hospital, Tunis, Tunisia
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Luo X, Zhang L, Zhang J, Chen H, Hong H, Luo R, Ma L, Wang C, Jin F, Wang E, Jiang Z. Changes in the cognitive function of Chinese college students with a clinical high risk of psychosis. Psychiatry Res 2021; 305:114242. [PMID: 34715440 DOI: 10.1016/j.psychres.2021.114242] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 09/15/2021] [Accepted: 10/10/2021] [Indexed: 11/20/2022]
Abstract
The purpose of our study was to explore the value of measuring cognitive functions for predicting the conversion to psychosis in Chinese college students with a clinical high risk (CHR). A total of 115 CHR students and 99 healthy controls were enrolled. All included participants were recruited from colleges in Wuhan, China. The MATRICS Consensus Cognitive Battery was used to evaluate cognitive function. CHR individuals were followed for 2 years, and the cognitive function of CHR individuals who later converted to psychosis (CHR-C) was compared to CHR individuals who did not convert (CHR-NC). Of the 107 CHR individuals that completed the 2- year follow-up, 29 (27.1%) developed a psychotic disorder. CHR individuals demonstrated poorer performance on all cognitive function tests compared to controls. CHR-C participants exhibited poorer performance on all cognitive tests except the Trail Making Test A and Continuous Performance Test-Identical Pairs compared to CHR-NC participants. The most significant differences displayed between CHR-C and CHR-NC groups were in visual learning, working memory, and reasoning and problem solving. The degree of cognitive impairment in visual learning and working memory may be a predictive marker for individuals who are at risk of developing psychosis.
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Affiliation(s)
- Xiaoyu Luo
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
| | - Liguo Zhang
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
| | - Jianya Zhang
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
| | - Hanhua Chen
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
| | - Hanlin Hong
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
| | - Ruqin Luo
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
| | - Luyao Ma
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
| | - Changwang Wang
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
| | - Fenshu Jin
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China
| | - Enfu Wang
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
| | - Zhendong Jiang
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430000, China.
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Shah R, Ghosh A, Avasthi A, Nehra R, Ahuja CK, Khandelwal N. Do neurocognitive functions in cannabis induced psychosis groups differ from schizophrenia with cannabis use? A controlled cross-sectional study. Int J Psychiatry Clin Pract 2021; 25:283-291. [PMID: 33856944 DOI: 10.1080/13651501.2021.1912356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE Cannabis-induced psychosis (CIP) has received little research attention. We compared neurocognitive functions in CIP, Schizophrenia with cannabis use (SZC) and healthy control group (CG). METHODS Twenty age, education, and handedness-matched participants were recruited in each of the three groups. CIP and SZC were diagnosed with Psychiatric research interviews for substance use and mental disorders. Level of cannabis exposure, global intelligence, executive function, attention, vigilance, working, and verbal memory, and motor speed were compared by analysis of variance with post-hoc Scheffe's test. We did a post-hoc power calculation. RESULTS Age at initiation, frequency, duration, and preparation of cannabis use did not differ significantly between CIP and SZC. CIP performed significantly better (than SZC) in tests of general cognitive ability or intelligence and attention, perceptual tracking and sequencing. SZC showed significant dysfunctions (than CG) in all parameters of the tests for executive dysfunction, sustained attention, short-term verbal memory and psychomotor functioning. CIP and CG did not differ in any cognitive domains except for non-perseverative errors in the test for executive functioning. CONCLUSIONS CIP and SZC had different degrees of impairment compared to controls, but on direct comparisons CIP had better general intelligence and attention.KEY POINTSCannabis-induced psychosis (CIP) may have different neurocognitive impairment than Schizophrenia with cannabis use (SZC)CIP performed better in tests for general intelligence and visual attention than SZCSZC had significant impairment in executive function, attention, verbal memory, and psychomotor speed than controlsCompared to controls, CIP performed significantly worse in some domains of executive functionCIP and SZC had different degrees of cognitive impairments as compared to the controls.
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Affiliation(s)
- Raghav Shah
- Drug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Abhishek Ghosh
- Drug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Ajit Avasthi
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Ritu Nehra
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Chirag K Ahuja
- Department of Radio-diagnosis and Imaging, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Niranjan Khandelwal
- Department of Radio-diagnosis and Imaging, Postgraduate Institute of Medical Education & Research, Chandigarh, India
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McLaverty A, Allott KA, Berger M, Hester R, McGorry PD, Nelson B, Markulev C, Yuen HP, Schäfer MR, Mossaheb N, Schlögelhofer M, Smesny S, Hickie IB, Berger GE, Chen EYH, de Haan L, Nieman DH, Nordentoft M, Riecher-Rössler A, Verma S, Thompson A, Yung AR, Amminger GP. Omega-3 fatty acids and neurocognitive ability in young people at ultra-high risk for psychosis. Early Interv Psychiatry 2021; 15:874-881. [PMID: 32893462 DOI: 10.1111/eip.13025] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 07/03/2020] [Accepted: 07/05/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Neurocognitive impairments are core early features of psychosis and are observed in those at ultra-high risk (UHR) for psychosis. The aim of the present study was to explore whether neurocognition is associated with polyunsaturated fatty acids (PUFAs), as has been observed in other clinical populations. METHOD Erythrocyte levels of total omega-3-and omega-6 PUFAs the omega-3/omega-6 ratio, were measured in 265 UHR individuals. Six domains of neurocognition as well a Composite Score, were assessed using the Brief Assessment of Cognition in Schizophrenia. Pearson's correlations were used to assess the relationship between PUFAs and neurocognition. All analyses were controlled for tobacco smoking. RESULTS Verbal Fluency correlated positively with eicosapentaenoic acid (P = .024) and alpha-linolenic acid (P = .01), and negatively with docosahexanoic acid (P = .007) and Working Memory positively correlated with omega-3/omega-6 ratio (P = .007). CONCLUSIONS The current results provide support for a relationship between Verbal Fluency and omega-3 PUFAs in UHR. Further investigation is required to elucidate whether these biomarkers are useful as risk markers or in understanding the biological underpinning of neurocognitive impairment in this population.
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Affiliation(s)
- Alison McLaverty
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
| | - Kelly A Allott
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Maximus Berger
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Rob Hester
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
| | - Patrick D McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Connie Markulev
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Hok Pan Yuen
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Miriam R Schäfer
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,Department of Child and Adolescent Psychiatry, Medical University Vienna, Vienna, Austria
| | - Nilufar Mossaheb
- Department of Child and Adolescent Psychiatry, Medical University Vienna, Vienna, Austria
| | - Monika Schlögelhofer
- Department of Child and Adolescent Psychiatry, Medical University Vienna, Vienna, Austria
| | - Stefan Smesny
- Department of Psychiatry, University Hospital Jena, Jena, Germany
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Gregor Emanuel Berger
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - Eric Y H Chen
- Department of Psychiatry, University of Hong Kong, Hong Kong, Hong Kong
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam University Medical Centers (location AMC), Amsterdam, The Netherlands
| | - Dorien H Nieman
- Department of Psychiatry, Amsterdam University Medical Centers (location AMC), Amsterdam, The Netherlands
| | | | | | - Swapna Verma
- Institute of Mental Health, Singapore, Singapore
| | - Andrew Thompson
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Alison Ruth Yung
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - G Paul Amminger
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia.,The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
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Neurocognitive assessments are more important among adolescents than adults for predicting psychosis in clinical high risk. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 7:56-65. [PMID: 34274517 DOI: 10.1016/j.bpsc.2021.06.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/17/2021] [Accepted: 06/30/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Few studies have examined the effects of age on neurocognition to predict conversion to psychosis in individuals with clinical high-risk(CHRs). This study aimed to compare the extent and predictive performance of cognitive deficits between adolescents and adults with CHR. METHODS A comprehensive neuropsychological battery was performed on 325 CHRs and 365 healthy controls(HCs). The subjects were first divided into 189 CHR adolescents(age 12-17 years), 136 CHR adults(age 18-45 years), 88 HC adolescents, and 277 HC adults. CHR subjects were then divided into converters(CHR-Cs: adolescents[n=43]; adults[n=34]) and non-converters(CHR-NCs: adolescents [n=146], adults [n=102]) based on their 2-year follow-up clinical status. RESULTS The adolescent and adult CHRs performed significantly worse than their control groups on all the neurocognitive tests, except for performance on the continuous performance test in adolescents. In the comparison between adolescents and adults, patterns of neurocognitive deficits seemed to vary in HCs, rather than in CHRs. In the comparison between CHRs and HCs, the rank order of effect sizes across the neurocognitive tests was similar for the top two tests of symbol coding and verbal learning. Comparison between CHR-Cs and CHR-NCs revealed that adolescent CHR-Cs performed significantly worse than CHR-NCs on seven of eight neurocognitive tests; however, adult CHR-Cs performed significantly worse than CHR-NCs only in the visuospatial memory test. CONCLUSIONS The role of neurocognitive dysfunction may have different patterns and weights during the onset of psychosis in adolescent and adult CHRs, implicating the development of specific strategies that could monitor and improve cognitive function in adolescents with CHR.
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Reduced cortical thickness of the paracentral lobule in at-risk mental state individuals with poor 1-year functional outcomes. Transl Psychiatry 2021; 11:396. [PMID: 34282119 PMCID: PMC8289863 DOI: 10.1038/s41398-021-01516-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/26/2021] [Accepted: 06/30/2021] [Indexed: 02/07/2023] Open
Abstract
Although widespread cortical thinning centered on the fronto-temporal regions in schizophrenia has been reported, the findings in at-risk mental state (ARMS) patients have been inconsistent. In addition, it remains unclear whether abnormalities of cortical thickness (CT) in ARMS individuals, if present, are related to their functional decline irrespective of future psychosis onset. In this multicenter study in Japan, T1-weighted magnetic resonance imaging was performed at baseline in 107 individuals with ARMS, who were subdivided into resilient (77, good functional outcome) and non-resilient (13, poor functional outcome) groups based on the change in Global Assessment of Functioning scores during 1-year follow-up, and 104 age- and sex-matched healthy controls recruited at four scanning sites. We measured the CT of the entire cortex and performed group comparisons using FreeSurfer software. The relationship between the CT and cognitive functioning was examined in an ARMS subsample (n = 70). ARMS individuals as a whole relative to healthy controls exhibited a significantly reduced CT, predominantly in the fronto-temporal regions, which was partly associated with cognitive impairments, and an increased CT in the left parietal and right occipital regions. Compared with resilient ARMS individuals, non-resilient ARMS individuals exhibited a significantly reduced CT of the right paracentral lobule. These findings suggest that ARMS individuals partly share CT abnormalities with patients with overt schizophrenia, potentially representing general vulnerability to psychopathology, and also support the role of cortical thinning in the paracentral lobule as a predictive biomarker for short-term functional decline in the ARMS population.
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Glenthøj LB, Kristensen TD, Wenneberg C, Hjorthøj C, Nordentoft M. Predictors of remission from the ultra-high risk state for psychosis. Early Interv Psychiatry 2021; 15:104-112. [PMID: 31910496 DOI: 10.1111/eip.12917] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 11/06/2019] [Accepted: 12/14/2019] [Indexed: 02/07/2023]
Abstract
AIM A significant proportion of individuals at Ultra-High Risk (UHR) for psychosis do not transition to manifest psychosis. Many non-transitioning UHR individuals do, however, display poor long-term outcomes such as persistence of attenuated psychotic symptoms. Evidence is scarce on which variables may predict a better clinical and functional prognosis such as remission from the UHR state. METHODS A total of 146 UHR individuals were enrolled in a randomized clinical trial (RCT), with this being analyses secondary to the RCT. Participants were assessed on multiple domains of symptoms, functioning, neuro- and social cognition. Regression analyses elucidated on the predictive power of these measures to remission from the UHR status (ie, not meeting UHR criteria) at 12-month follow-up. RESULTS Of the 91 UHR individuals attending 12-month follow-up, 33 (36%) exhibited remission from the UHR state. Regression analyses revealed baseline functioning to be a significant predictor of risk remission, and this was maintained when controlling for the effect of antipsychotic medication, gender and estimated IQ. The individuals with remission from the UHR state showed lower attenuated psychotic- and depressive symptoms along with better functioning at 12-month follow-up. CONCLUSION Our findings indicate functioning to be a contributor to the symptomatic recovery of UHR individuals, but a large amount of the variance on risk remission is, however, explained by other factors. Additionally, our findings suggest that UHR individuals with better functioning at ascertainment may present with a better clinical and functional prognosis, which may inform on the need for monitoring and intervention in this subgroup.
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Affiliation(s)
- Louise B Glenthøj
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark.,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Glostrup, Denmark
| | - Tina D Kristensen
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark.,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Glostrup, Denmark
| | - Christina Wenneberg
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark.,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Glostrup, Denmark
| | - Carsten Hjorthøj
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark.,Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark.,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Glostrup, Denmark
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Evermann U, Gaser C, Besteher B, Langbein K, Nenadić I. Cortical Gyrification, Psychotic-Like Experiences, and Cognitive Performance in Nonclinical Subjects. Schizophr Bull 2020; 46:1524-1534. [PMID: 32691058 PMCID: PMC7707080 DOI: 10.1093/schbul/sbaa068] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Psychotic-like experiences (PLE) are present in nonclinical populations, yet their association with brain structural variation, especially markers of early neurodevelopment, is poorly understood. We tested the hypothesis that cortical surface gyrification, a putative marker of early brain development, is associated with PLE in healthy subjects. METHODS We analyzed gyrification from 3 Tesla MRI scans (using CAT12 software) and PLE (positive, negative, and depressive symptom dimensions derived from the Community Assessment of Psychic Experiences, CAPE) in 103 healthy participants (49 females, mean age 29.13 ± 9.37 years). A subsample of 63 individuals completed tasks from the Wechsler Adult Intelligence Scale and Controlled Oral Word Association Test. Estimated IQ and a composite neuropsychological score were used to explore mediation pathways via cognition. RESULTS Positive PLE distress was negatively associated with gyrification of the left precuneus. PLE depression dimension showed a negative association with gyrification in the right supramarginal and temporal region. There was no significant mediating effect of cognition on these associations. CONCLUSION Our results support a neurobiological psychosis spectrum, for the first time linking an early developmental imaging marker (rather than volume) to dimensional subclinical psychotic symptoms. While schizophrenia risk, neurodevelopment, and cognitive function might share genetic risk factors, additional mediation analyses did not confirm a mediating effect of cognition on the gyrification-psychopathology correlation.
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Affiliation(s)
- Ulrika Evermann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Neurology, Jena University Hospital, Jena, Germany
| | - Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Igor Nenadić
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
- Marburg University Hospital – UKGM, Marburg, Germany
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Cognitive dysfunction in a psychotropic medication-naïve, clinical high-risk sample from the ShangHai-At-Risk-for-Psychosis (SHARP) study: Associations with clinical outcomes. Schizophr Res 2020; 226:138-146. [PMID: 32694037 DOI: 10.1016/j.schres.2020.06.018] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 06/16/2020] [Accepted: 06/19/2020] [Indexed: 01/10/2023]
Abstract
OBJECTIVES 1) to assess generalizability of neurocognitive deficits reported in previous Western clinical high-risk (CHR) for psychosis studies in a prodromal program in Shanghai, China; and 2) to investigate neurocognition in CHR subjects in relation to a broader range of clinical outcomes (e.g. remission) than presence or absence of psychosis. METHOD Baseline neurocognitive assessments of CHR (n = 217) and healthy control (HC; n = 133) subjects were compared based on 1-year follow-up clinical status using MANOVA. CHR subjects were first divided into 'converter' (CHR-C; n = 41) and 'non-converter' (CHR-NC; n = 155) to psychosis groups and compared to HC and to each other. CHR subjects were then divided into 'remission' (i.e. achieved remission; n = 102), 'symptomatic' (persistent positive symptoms in the absence of conversion; n = 37) and 'poor-outcome' (converted and symptomatic subjects who did not respond to treatment; n = 57) groups. RESULTS CHR neurocognitive performance was broadly impaired compared to HC; CHR-C subjects showed lower performance in processing speed and visual learning than CHR-NC. CHRs with poor clinical outcomes showed lower performance on most MCCB tasks compared to HC, particularly in learning and processing speed, as clinical outcome worsened from remission to symptomatic to poor outcome groups. CONCLUSIONS Level and pattern of baseline neurocognitive weaknesses in SHARP CHR subjects were similar to those in NAPLS-2. Outcome stratification into remission, symptomatic and poor groups was associated with increasing cognitive deficits in learning and processing speed. These findings support cross-cultural generalizability and advance understanding of CHR neurocognitive heterogeneity associated with 1-year clinical outcomes.
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Glenthøj LB, Mariegaard L, Kristensen TD, Wenneberg C, Medalia A, Nordentoft M. Self-perceived cognitive impairments in psychosis ultra-high risk individuals: associations with objective cognitive deficits and functioning. NPJ SCHIZOPHRENIA 2020; 6:31. [PMID: 33188204 PMCID: PMC7666210 DOI: 10.1038/s41537-020-00124-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 10/08/2020] [Indexed: 02/06/2023]
Abstract
There is a scarcity of evidence on subjectively reported cognitive difficulties in individuals at ultra-high risk (UHR) for psychosis and whether these self-perceived cognitive difficulties may relate to objective cognitive deficits, psychopathology, functioning, and adherence to cognitive remediation (CR). Secondary, exploratory analyses to a randomized, clinical trial were conducted with 52 UHR individuals receiving a CR intervention. Participants completed the Measure of Insight into Cognition—Self Report (MIC-SR), a measure of daily life cognitive difficulties within the domains of attention, memory, and executive functions along with measures of neuropsychological test performance, psychopathology, functioning, and quality of life. Our study found participants with and without objectively defined cognitive deficits reported self-perceived cognitive deficits of the same magnitude. No significant relationship was revealed between self-perceived and objectively measured neurocognitive deficits. Self-perceived cognitive deficits associated with attenuated psychotic symptoms, overall functioning, and quality of life, but not with adherence to, or neurocognitive benefits from, a CR intervention. Our findings indicate that UHR individuals may overestimate their cognitive difficulties, and higher levels of self-perceived cognitive deficits may relate to poor functioning. If replicated, this warrants a need for both subjective and objective cognitive assessment in at-risk populations as this may guide psychoeducational approaches and pro-functional interventions. Self-perceived cognitive impairments do not seem to directly influence CR adherence and outcome in UHR states. Further studies are needed on potential mediator between self-perceived cognitive deficits and functioning and quality of life.
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Affiliation(s)
- Louise Birkedal Glenthøj
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, DK-2900, Hellerup, Denmark. .,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, DK-2600, Glostrup, Denmark.
| | - Lise Mariegaard
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, DK-2900, Hellerup, Denmark.,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, DK-2600, Glostrup, Denmark
| | - Tina Dam Kristensen
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, DK-2900, Hellerup, Denmark.,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, DK-2600, Glostrup, Denmark
| | - Christina Wenneberg
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, DK-2900, Hellerup, Denmark.,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, DK-2600, Glostrup, Denmark
| | - Alice Medalia
- Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, DK-2900, Hellerup, Denmark.,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, DK-2600, Glostrup, Denmark
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43
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Glenthøj LB, Mariegaard LS, Fagerlund B, Jepsen J, Kristensen TD, Wenneberg C, Krakauer K, Medalia A, Roberts DL, Hjorthøj C, Nordentoft M. Effectiveness of cognitive remediation in the ultra-high risk state for psychosis. World Psychiatry 2020; 19:401-402. [PMID: 32931108 PMCID: PMC7491627 DOI: 10.1002/wps.20760] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Louise B. Glenthøj
- Copenhagen Research Centre on Mental HealthCopenhagen University HospitalHellerupDenmark,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia ResearchGlostrupDenmark
| | - Lise S. Mariegaard
- Copenhagen Research Centre on Mental HealthCopenhagen University HospitalHellerupDenmark
| | - Birgitte Fagerlund
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia ResearchGlostrupDenmark,Centre for Neuropsychiatric Schizophrenia ResearchCopenhagen University HospitalGlostrupDenmark,Department of PsychologyCopenhagen UniversityCopenhagenDenmark
| | - Jens R.M. Jepsen
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia ResearchGlostrupDenmark,Centre for Neuropsychiatric Schizophrenia ResearchCopenhagen University HospitalGlostrupDenmark,Child and Adolescent Mental Health CentreUniversity of CopenhagenCopenhagenDenmark
| | - Tina D. Kristensen
- Copenhagen Research Centre on Mental HealthCopenhagen University HospitalHellerupDenmark,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia ResearchGlostrupDenmark
| | - Christina Wenneberg
- Copenhagen Research Centre on Mental HealthCopenhagen University HospitalHellerupDenmark,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia ResearchGlostrupDenmark,Functional Imaging UnitCopenhagen University HospitalGlostrupDenmark
| | - Kristine Krakauer
- Copenhagen Research Centre on Mental HealthCopenhagen University HospitalHellerupDenmark,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia ResearchGlostrupDenmark,Functional Imaging UnitCopenhagen University HospitalGlostrupDenmark
| | - Alice Medalia
- Columbia University Irving Medical CenterNew YorkNYUSA
| | - David L. Roberts
- Department of PsychiatryUniversity of Texas Health Science CenterSan AntonioTXUSA
| | - Carsten Hjorthøj
- Copenhagen Research Centre on Mental HealthCopenhagen University HospitalHellerupDenmark,Department of Public HealthUniversity of CopenhagenCopenhagenDenmark
| | - Merete Nordentoft
- Copenhagen Research Centre on Mental HealthCopenhagen University HospitalHellerupDenmark,Centre for Clinical Intervention and Neuropsychiatric Schizophrenia ResearchGlostrupDenmark
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Characteristics of child psychiatric outpatients with slow processing speed and potential mechanisms of academic impact. Eur Child Adolesc Psychiatry 2020; 29:1453-1464. [PMID: 31980930 PMCID: PMC8168921 DOI: 10.1007/s00787-019-01455-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 12/03/2019] [Indexed: 01/22/2023]
Abstract
While slow processing speed (PS) is well documented in youth with ADHD, growing evidence suggests that this difficulty affects children with other neuropsychiatric conditions. Clarifying the relationship between slow PS and different forms of psychopathology is important clinically, given the potential impact of PS on academic functioning, and conceptually. In 751 youth, ages 6-21, consecutively referred for neuropsychiatric evaluation, we examined the association between slow PS (i.e., Wechsler PS Index < 85) and seven neuropsychiatric diagnostic groups. In 492 of these youth, we also related slow PS to eight psychopathology symptom dimensions. Finally, we modeled the relationship between PS, other cognitive functions and academic achievement. Data are from the Longitudinal Study of Genetic Influences on Cognition. Analyses included one-sample t tests, ANOVA, logistic regression, mixed modeling, and structural equation modeling (SEM), controlling for age, sex, and medication. Compared to normative data, all clinical groups showed PS decrements. Compared to referred youth without full diagnoses and accounting for other psychopathology, risk for slow PS was elevated in youth with autism spectrum disorder (OR = 1.8), psychotic disorders (OR = 3.4) and ADHD-inattentive type (OR = 1.6). Having multiple comorbidities also increased risk for slow PS. Among dimensions, inattention (OR = 1.5) associated with slow PS but did not fully explain the association with autism or psychosis. In SEM, PS had direct effects on academic achievement and indirect effects through working memory. Findings extend evidence that PS relates to multiple aspects of child psychopathology and associates with academic achievement in child psychiatric outpatients.
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45
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Wei W, Zhang Y, Li Y, Meng Y, Li M, Wang Q, Deng W, Ma X, Palaniyappan L, Zhang N, Li T. Depth-dependent abnormal cortical myelination in first-episode treatment-naïve schizophrenia. Hum Brain Mapp 2020; 41:2782-2793. [PMID: 32239735 PMCID: PMC7294057 DOI: 10.1002/hbm.24977] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 02/14/2020] [Accepted: 02/25/2020] [Indexed: 02/05/2023] Open
Abstract
Myelination is key to effective message passing in the central nervous system and is likely linked to the pathogenesis of schizophrenia (SZ). Emerging evidence indicates that a large portion of intracortical myelin insulates inhibitory interneurons that are highly relevant to pathogenesis of schizophrenia. Here for the first time, we characterized intracortical myelination across the entire cortical surface in first‐episode treatment‐naïve patients with schizophrenia (FES) using T1w/T2w ratio of structural MRI, FES patients exhibited significantly higher myelin content in the left inferior parietal lobe, supramarginal gyrus, and superior temporal gyrus in the superficial layer, as well as left IPL in the middle layer, but significantly lower myelin content in the left middle insula and posterior cingulate gyrus. Years of education, a proxy for onset of functional decline, significantly altered the relationship between abnormal parietal and posterior cingulate myelination and clinical symptoms, indicating that the pathoplastic role of myelination hinges on the age of onset of functional decline. In addition, higher myelination generally related to better cognitive function in younger subjects but worse cognitive function in older subjects. We conclude that FES is characterized by increased myelination of the superficial layers of the parietal–temporal association cortex, but reduced myelination of the cingulo‐insular midcortical layer cortex. Intracortical myelin content affects both cognitive functioning and symptom burden in FES, with the effect conditional upon age and timing of onset of functional decline. These results suggest myelination might be a critical biological target for procognitive interventions in SZ.
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Affiliation(s)
- Wei Wei
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yamin Zhang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yinfei Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yajin Meng
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Lena Palaniyappan
- Robarts Research Institute & Department of Psychiatry, University of Western Ontario, London, Ontario, Canada.,Lawson Health Research Institute, London, Ontario, Canada
| | - Nanyin Zhang
- Department of Biomedical Engineering, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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46
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Cognitive functioning in ultra-high risk for psychosis individuals with and without depression: Secondary analysis of findings from the NEURAPRO randomized clinical trial. Schizophr Res 2020; 218:48-54. [PMID: 32171637 DOI: 10.1016/j.schres.2020.03.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 02/23/2020] [Accepted: 03/05/2020] [Indexed: 12/15/2022]
Abstract
Neurocognitive impairments are well established in both ultra-high risk (UHR) for psychosis and major depressive disorder (MDD). Despite this understanding, investigation of neurocognitive deficits in UHR individuals with MDD and its association with MDD within this population, has been scarce. Hence, this study aimed to examine any differences in neurocognition at baseline between those with MDD at baseline and those with no history of MDD, as well as determine whether neurocognitive variables are significantly associated with meeting criteria for MDD at follow-up, while controlling for relevant clinical variables, within a UHR cohort. Data analysis was conducted on 207 participants whose baseline neurocognition was assessed using Brief Assessment of Cognition for Schizophrenia, as part of a trial of omega-3 fatty acids (NEURAPRO) for UHR individuals. While baseline MDD was the strongest predictor, poorer verbal memory and higher verbal fluency were significantly associated with MDD at 12 months (p = .04 and 0.026, respectively). Further, higher processing speed was significantly associated with MDD at medium-term follow-up (p = .047). These findings outline that neurocognitive skills were independently associated with meeting criteria for MDD at follow-up within UHR individuals, with novel findings of better verbal fluency and processing speed being linked to MDD outcomes. Hence, neurocognitive performance should be considered as a marker of risk for MDD outcomes and a target for management of MDD in UHR.
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47
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Tyson JW, House EM, Donovan AL. Assessing Youth with Psychotic Experiences: A Phenomenological Approach. Child Adolesc Psychiatr Clin N Am 2020; 29:1-13. [PMID: 31708039 DOI: 10.1016/j.chc.2019.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Psychotic experiences may be part of normal development or indicate a wide range of mental disorders. This article shows how a systematic, domain-based, phenomenological approach to assessing psychotic symptoms in youth facilitates the gathering of the nuanced clinical information necessary to understand a child's specific experience. Mapping this information onto a narrative timeline, while understanding the evolution and developmental context of psychotic experiences, is essential in making an accurate diagnostic formulation and appropriate treatment plan for youth presenting with psychotic experiences.
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Affiliation(s)
- John W Tyson
- First Episode and Early Psychosis Program, Massachusetts General Hospital, 32 Fruit Street, Yawkey 6A, Boston, MA 02114, USA.
| | - Ellen M House
- Augusta University/University of Georgia Medical Partnership, Health Science Campus, Russell Hall, 1425 Prince Avenue, Athens, GA 30602, USA
| | - Abigail L Donovan
- First Episode and Early Psychosis Program, Massachusetts General Hospital, 32 Fruit Street, Yawkey 6A, Boston, MA 02114, USA
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Hashimoto K. Recent Advances in the Early Intervention in Schizophrenia: Future Direction from Preclinical Findings. Curr Psychiatry Rep 2019; 21:75. [PMID: 31278495 DOI: 10.1007/s11920-019-1063-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PURPOSE OF REVIEW In the past decade, there has been increasing interest in the potential benefit of early intervention in schizophrenia. Patients with schizophrenia show cognitive impairment for several years preceding the onset of psychosis. The author discusses the recent topics on prevention of schizophrenia. RECENT FINDINGS Preclinical findings suggest that maternal immune activation (MIA) produces cognitive deficits as a prodromal symptom in juvenile offspring in rodents. Treatment with anti-inflammatory compounds, such as D-serine, 7,8-dihydroxyflavone (a TrkB agonist), sulforaphane (or its precursor glucoraphanin), and TPPU (1-trifluoromethoxyphenyl-3-(1-propionylpiperidin-4-yl) urea: a soluble epoxide hydrolase inhibitor), during adolescence might prevent the onset of behavioral abnormalities and parvalbumin immunoreactivity in the medial prefrontal cortex of adult offspring after MIA. Based on the role of inflammation and cognitive impairment in the prodromal state, early intervention using anti-inflammatory compounds (i.e., D-serine, sodium benzoate, TrkB agonist, Nrf2 agonist, soluble epoxide hydrolase inhibitor) may reduce the risk of subsequent transition to schizophrenia.
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Affiliation(s)
- Kenji Hashimoto
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, 1-8-1 Inohana, Chiba, 260-8670, Japan.
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