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Zhang T, Xu L, Wei Y, Cui H, Tang X, Hu Y, Tang Y, Wang Z, Liu H, Chen T, Li C, Wang J. Advancements and Future Directions in Prevention Based on Evaluation for Individuals With Clinical High Risk of Psychosis: Insights From the SHARP Study. Schizophr Bull 2024:sbae066. [PMID: 38741342 DOI: 10.1093/schbul/sbae066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
BACKGROUND AND HYPOTHESIS This review examines the evolution and future prospects of prevention based on evaluation (PBE) for individuals at clinical high risk (CHR) of psychosis, drawing insights from the SHARP (Shanghai At Risk for Psychosis) study. It aims to assess the effectiveness of non-pharmacological interventions in preventing psychosis onset among CHR individuals. STUDY DESIGN The review provides an overview of the developmental history of the SHARP study and its contributions to understanding the needs of CHR individuals. It explores the limitations of traditional antipsychotic approaches and introduces PBE as a promising framework for intervention. STUDY RESULTS Three key interventions implemented by the SHARP team are discussed: nutritional supplementation based on niacin skin response blunting, precision transcranial magnetic stimulation targeting cognitive and brain functional abnormalities, and cognitive behavioral therapy for psychotic symptoms addressing symptomatology and impaired insight characteristics. Each intervention is evaluated within the context of PBE, emphasizing the potential for tailored approaches to CHR individuals. CONCLUSIONS The review highlights the strengths and clinical applications of the discussed interventions, underscoring their potential to revolutionize preventive care for CHR individuals. It also provides insights into future directions for PBE in CHR populations, including efforts to expand evaluation techniques and enhance precision in interventions.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - HuiRu Cui
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - ZiXuan Wang
- Department of Psychology, Shanghai Xinlianxin Psychological Counseling Center, Shanghai, China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Ontario, Canada
- Labor and Worklife Program, Harvard University, Cambridge, MA, USA
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
- Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, PR China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, PR China
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Johnsen LK, Larsen KM, Fuglsang SA, Ver Loren van Themaat AH, Baaré WFC, Madsen KS, Madsen KH, Hemager N, Andreassen AK, Veddum L, Greve AN, Nejad AB, Burton BK, Gregersen M, Eichele H, Lund TE, Bliksted V, Thorup AAE, Mors O, Plessen KJ, Nordentoft M, Siebner HR. Executive Control and Associated Brain Activity in Children With Familial High-Risk of Schizophrenia or Bipolar Disorder: A Danish Register-based Study. Schizophr Bull 2024; 50:567-578. [PMID: 37756493 PMCID: PMC11059809 DOI: 10.1093/schbul/sbad134] [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] [Indexed: 09/29/2023]
Abstract
BACKGROUND AND HYPOTHESES Impaired executive control is a potential prognostic and endophenotypic marker of schizophrenia (SZ) and bipolar disorder (BP). Assessing children with familial high-risk (FHR) of SZ or BP enables characterization of early risk markers and we hypothesize that they express impaired executive control as well as aberrant brain activation compared to population-based control (PBC) children. STUDY DESIGN Using a flanker task, we examined executive control together with functional magnetic resonance imaging (fMRI) in 11- to 12-year-old children with FHR of SZ (FHR-SZ) or FHR of BP (FHR-BP) and PBC children as part of a register-based, prospective cohort-study; The Danish High Risk and Resilience study-VIA 11. STUDY RESULTS We included 85 (44% female) FHR-SZ, 63 (52% female) FHR-BP and 98 (50% female) PBC in the analyses. Executive control effects, caused by the spatial visuomotor conflict, showed no differences between groups. Bayesian ANOVA of reaction time (RT) variability, quantified by the coefficient of variation (CVRT), revealed a group effect with similarly higher CVRT in FHR-BP and FHR-SZ compared to PBC (BF10 = 6.82). The fMRI analyses revealed no evidence for between-group differences in task-related brain activation. Post hoc analyses excluding children with psychiatric illness yielded same results. CONCLUSION FHR-SZ and FHR-BP at age 11-12 show intact ability to resolve a spatial visuomotor conflict and neural efficacy. The increased variability in RT may reflect difficulties in maintaining sustained attention. Since variability in RT was independent of existing psychiatric illness, it may reflect a potential endophenotypic marker of risk.
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Affiliation(s)
- Line Korsgaard Johnsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services CPH, Copenhagen, Denmark
| | - Kit Melissa Larsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services CPH, Copenhagen, Denmark
| | - Søren Asp Fuglsang
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark
| | - Anna Hester Ver Loren van Themaat
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services CPH, Copenhagen, Denmark
| | - William Frans Christiaan Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark
- Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - Kristoffer Hougaard Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark
| | - Nicoline Hemager
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services CPH, Copenhagen, Denmark
- Copenhagen Research Center for Mental Health, CORE, Mental Health Centre Copenhagen, Copenhagen University Hospital, Gentofte, Mental Health Services, Capital Region, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Anna Krogh Andreassen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Services, Aarhus University, Aarhus, Denmark
- The Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Lotte Veddum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Services, Aarhus University, Aarhus, Denmark
- The Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Aja Neergaard Greve
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Services, Aarhus University, Aarhus, Denmark
- The Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Ayna Baladi Nejad
- Medical and Science, Clinical Drug Development, Novo Nordisk A/S, Greater Copenhagen area, Denmark
| | - Birgitte Klee Burton
- Faculty of Health and Medical Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Child and Adolescent Psychiatry, Copenhagen University Hospital, Psychiatry Region Zealand, Roskilde, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services CPH, Copenhagen, Denmark
| | - Maja Gregersen
- Copenhagen Research Center for Mental Health, CORE, Mental Health Centre Copenhagen, Copenhagen University Hospital, Gentofte, Mental Health Services, Capital Region, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Heike Eichele
- Division of Psychiatry, Regional Resource Centre for Autism, ADHD and Tourette syndrome Western Norway, Haukeland University Hospital, Bergen, Norway
| | - Torben E Lund
- Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark
| | - Vibeke Bliksted
- Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Services, Aarhus University, Aarhus, Denmark
- The Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Anne Amalie Elgaard Thorup
- Faculty of Health and Medical Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services CPH, Copenhagen, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Services, Aarhus University, Aarhus, Denmark
- The Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Kerstin Jessica Plessen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, The University Hospital of Lausanne (CHUV) and University of Lausanne, Lausanne, Switzerland
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services CPH, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Merete Nordentoft
- Faculty of Health and Medical Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Research Center for Mental Health, CORE, Mental Health Centre Copenhagen, Copenhagen University Hospital, Gentofte, Mental Health Services, Capital Region, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
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Larsen KM, Madsen KS, Ver Loren van Themaat AH, Thorup AAE, Plessen KJ, Mors O, Nordentoft M, Siebner HR. Children at Familial High risk of Schizophrenia and Bipolar Disorder Exhibit Altered Connectivity Patterns During Pre-attentive Processing of an Auditory Prediction Error. Schizophr Bull 2024; 50:166-176. [PMID: 37379847 PMCID: PMC10754183 DOI: 10.1093/schbul/sbad092] [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] [Indexed: 06/30/2023]
Abstract
BACKGROUND AND HYPOTHESIS Individuals with schizophrenia or bipolar disorder have attenuated auditory mismatch negativity (MMN) responses, indicating impaired sensory information processing. Computational models of effective connectivity between brain areas underlying MMN responses show reduced connectivity between fronto-temporal areas in individuals with schizophrenia. Here we ask whether children at familial high risk (FHR) of developing a serious mental disorder show similar alterations. STUDY DESIGN We recruited 67 children at FHR for schizophrenia, 47 children at FHR for bipolar disorder as well as 59 matched population-based controls from the Danish High Risk and Resilience study. The 11-12-year-old participants engaged in a classical auditory MMN paradigm with deviations in frequency, duration, or frequency and duration, while we recorded their EEG. We used dynamic causal modeling (DCM) to infer on the effective connectivity between brain areas underlying MMN. STUDY RESULTS DCM yielded strong evidence for differences in effective connectivity among groups in connections from right inferior frontal gyrus (IFG) to right superior temporal gyrus (STG), along with differences in intrinsic connectivity within primary auditory cortex (A1). Critically, the 2 high-risk groups differed in intrinsic connectivity in left STG and IFG as well as effective connectivity from right A1 to right STG. Results persisted even when controlling for past or present psychiatric diagnoses. CONCLUSIONS We provide novel evidence that connectivity underlying MMN responses in children at FHR for schizophrenia and bipolar disorder is altered at the age of 11-12, echoing findings that have been found in individuals with manifest schizophrenia.
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Affiliation(s)
- Kit Melissa Larsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Anna Hester Ver Loren van Themaat
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Anne Amalie Elgaard Thorup
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Hellerup, Denmark
- Copenhagen Research Centre for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Kerstin Jessica Plessen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Hellerup, Denmark
- Department of Psychiatry, Service of Child and Adolescent Psychiatry, University Medical Center, University of Lausanne, Switzerland
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
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Salaminios G, Sprüngli-Toffel E, Michel C, Morosan L, Eliez S, Armando M, Fonseca-Pedrero E, Derome M, Schultze-Lutter F, Debbané M. The role of mentalizing in the relationship between schizotypal personality traits and state signs of psychosis risk captured by cognitive and perceptive basic symptoms. Front Psychiatry 2023; 14:1267656. [PMID: 37810595 PMCID: PMC10557948 DOI: 10.3389/fpsyt.2023.1267656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/04/2023] [Indexed: 10/10/2023] Open
Abstract
Objective Schizotypal traits and disturbances in mentalizing (the capacity to understand the mental states driving one's own and others' behaviors) have been implicated in increased vulnerability for psychosis. Therefore, we explored the associations linking schizotypal traits, mentalizing difficulties and their interactions to clinical high-risk for psychosis (CHR-P), as captured by the Basic Symptoms (BS) approach, during adolescence and young adulthood. Methods Eighty-seven adolescents and young adults from the general population (46% male, 44% female; age: 14-23 years) were assessed with the Schizophrenia Proneness Interview (SPI-CY/A) for 11 perceptive and cognitive BS, with the Schizotypal Personality Questionnaire (SPQ) for schizotypal traits, and with the Reflective Functioning Questionnaire (RFQ) for self-reported mentalizing abilities. The RFQ evaluates the level of certainty (RFQc scale) and uncertainty (RFQu scale) with which individuals use mental state information to explain their own and others' behaviors. Results Logistic regression models showed significant positive effects of the SPQ disorganization scale on perceptive BS and of the SPQ interpersonal scale on cognitive BS. Post-hoc analyses revealed that schizotypal features pertaining to odd speech and social anxiety, respectively, were associated with perceptive and cognitive BS. Furthermore, higher scores on the RFQu scale and lower scores on the RFQc scale independently explained the presence of cognitive BS. Finally, significant interaction effects between RFQc and SPQ odd speech on perceptive BS, and between RFQc and SPQ social anxiety on cognitive BS were found. Conclusion Our findings suggest that schizotypal traits and mentalizing significantly relate both independently and through their interactions to the presence of cognitive and perceptive BS included in CHR-P criteria. Furthermore, mentalizing dysfunction may contribute in the relation between schizotypal traits and early state signs of CHR-P. Mentalizing may support both detection and early treatment of CHR-P among adolescents and young adults who present with trait risk for psychosis.
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Affiliation(s)
- George Salaminios
- Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
- Research Department, British Association for Counselling and Psychotherapy, Lutterworth, United Kingdom
| | - Elodie Sprüngli-Toffel
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
- Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Chantal Michel
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Larisa Morosan
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
| | - Stephan Eliez
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Marco Armando
- Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | | | - Melodie Derome
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Frauke Schultze-Lutter
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
- Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
| | - Martin Debbané
- Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- Developmental Imaging and Psychopathology Lab, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland
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5
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Lundsgaard J, Kristensen TD, Nordentoft M, Glenthøj LB. Premorbid functioning in adolescence associates with comorbid disorders in individuals at ultra-high risk for psychosis: A brief report. Early Interv Psychiatry 2023; 17:422-426. [PMID: 36693622 DOI: 10.1111/eip.13373] [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: 02/18/2022] [Revised: 08/12/2022] [Accepted: 01/02/2023] [Indexed: 01/26/2023]
Abstract
AIM This study examines associations between premorbid adjustment and comorbid disorders in individuals at ultra-high risk (UHR) for psychosis. METHODS Premorbid social and academic adjustment data were collected from 146 UHR individuals using the Premorbid Adjustment Scale. Comorbid disorders were determined by the Structural Clinical Interview for DSM-IV. RESULTS Logistic regressions showed lower premorbid social adjustment associated with personality disorders. Lower premorbid academic adjustment associated with affective disorders. More specifically, poor premorbid social adjustment in early and late adolescence associated with personality disorders. Lower premorbid social adjustment in late adolescence and lower premorbid academic adjustment in early adolescence associated with affective disorders. CONCLUSION Partly corroborating evidence from schizophrenia samples, our findings suggest that poor premorbid adjustment relate to distinct comorbid disorders in UHR individuals. If replicated, it indicates that premorbid adjustment deficits may be a key area for targeted interventions improving the clinical prognosis of UHR individuals.
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Affiliation(s)
- Julie Lundsgaard
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Tina Dam Kristensen
- Centre for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark
- Centre for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Louise Birkedal Glenthøj
- Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
- Centre for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
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Tomczyk S, Schlick S, Gansler T, McLaren T, Muehlan H, Peter LJ, Schomerus G, Schmidt S. Continuum beliefs of mental illness: a systematic review of measures. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1-16. [PMID: 35927343 PMCID: PMC9845169 DOI: 10.1007/s00127-022-02345-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 07/19/2022] [Indexed: 01/21/2023]
Abstract
PURPOSE The continuum of mental health/illness has been subject to scientific debate for decades. While current research indicates that continuum belief interventions can reduce mental health stigma and improve treatment seeking in affected populations, no study has yet systematically examined measures of continuum beliefs. METHODS This preregistered systematic review summarizes measures of continuum beliefs. Following the PRISMA statement, three scientific databases (PubMed, PsycInfo and PsycArticles via EBSCOhost, Web of Science) are searched, instruments are described and discussed regarding their scope, and methodological quality. RESULTS Overall, 7351 records were identified, with 35 studies reporting relevant findings on 11 measures. Most studies examined general population samples and used vignette-based measures. Schizophrenia and depression were most commonly examined, few studies focused on dementia, ADHD, OCD, eating disorders, and problematic alcohol use, or compared continuum beliefs across disorders. Validity was very good for most measures, but reliability was rarely tested. Measures mostly assessed beliefs in the normality of mental health symptoms or the normality of persons with such symptoms but rarely nosological aspects (i.e., categorical v continuous conceptualization of mental disorders). CONCLUSIONS Current research provides psychometrically sound instruments to examine continuum beliefs for a variety of mental disorders. While studies suggest utility for general population samples and mental health professionals, more research is necessary to corroborate findings, for instance, regarding age (e.g., in adolescents), gender, or type of mental disorder. Future research should also compare self-report ratings, and vignette-based measures, include measures of nosological concepts to fully grasp the continuum concept of mental illness. PREREGISTRATION PROSPERO: CRD42019123606.
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Affiliation(s)
- S. Tomczyk
- grid.5603.0Department Health and Prevention, Institute of Psychology, University of Greifswald, Robert-Blum-Straße 13, 17489 Greifswald, Germany
| | - S. Schlick
- grid.5603.0Department Health and Prevention, Institute of Psychology, University of Greifswald, Robert-Blum-Straße 13, 17489 Greifswald, Germany
| | - T. Gansler
- grid.5603.0Department Health and Prevention, Institute of Psychology, University of Greifswald, Robert-Blum-Straße 13, 17489 Greifswald, Germany
| | - T. McLaren
- grid.5603.0Department Health and Prevention, Institute of Psychology, University of Greifswald, Robert-Blum-Straße 13, 17489 Greifswald, Germany
| | - H. Muehlan
- grid.5603.0Department Health and Prevention, Institute of Psychology, University of Greifswald, Robert-Blum-Straße 13, 17489 Greifswald, Germany
| | - L.-J. Peter
- grid.9647.c0000 0004 7669 9786Department of Psychiatry and Psychotherapy, Medical Faculty, Leipzig University, Leipzig, Germany
| | - G. Schomerus
- grid.9647.c0000 0004 7669 9786Department of Psychiatry and Psychotherapy, Medical Faculty, Leipzig University, Leipzig, Germany ,grid.9647.c0000 0004 7669 9786Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - S. Schmidt
- grid.5603.0Department Health and Prevention, Institute of Psychology, University of Greifswald, Robert-Blum-Straße 13, 17489 Greifswald, Germany
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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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8
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Ver Loren van Themaat AH, Oranje B, Larsen KM, Tomasevic L, Korsgaard Johnsen L, Elgaard Thorup AA, Plessen KJ, Siebner HR, Nordentoft M. Mismatch negativity and P3a amplitude in children with familial high risk of schizophrenia or bipolar disorder - A Danish register-based EEG study. Schizophr Res 2022; 246:187-194. [PMID: 35797883 DOI: 10.1016/j.schres.2022.06.035] [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: 08/24/2021] [Revised: 06/25/2022] [Accepted: 06/26/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Infrequent deviants in a rapid sequence of sounds elicit a negative cortical potential over the frontocentral midline (mismatch negativity, MMN) followed by a positive deflection (P3a). Both cortical potentials are consistently attenuated in patients with schizophrenia (SZ), and, to a lesser degree, in patients with bipolar disorder (BP). OBJECTIVE Since it is unclear when MMN and P3a deficits arise relative to the emergence of symptoms, we examined whether MMN and P3a alterations are already detectable in children with familial high risk. METHODS Using 128-channel electroencephalography, we recorded auditory MMN and P3a evoked by a deviation in sound duration, frequency, or both in 51 children with familial high-risk for SZ (FHR-SZ), 41 children with familial high-risk for BP (FHR-BP), and 39 population-based children (PBC) at a mean age of 12.10. RESULTS MMN amplitude evoked by a duration deviant was larger in children with FHR-BP compared to PBC and FHR-SZ. P3a amplitude in response to a duration ∗ frequency deviant was larger in children with FHR-BP compared to children with FHR-SZ, but not compared to PBC. MMN- and P3a-peak latency did not differ between groups. CONCLUSIONS At an age of around 12 years, children with FHR-BP display enhanced neural sensitivity to change detection of duration deviants, while FHR-SZ showed a normal response pattern. Longitudinal recordings in high-risk children during adolescence are required to elucidate the temporal trajectories of MMN and P3a responses and how they relate to the emergence of first clinical symptoms in SZ and BP.
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Affiliation(s)
- Anna Hester Ver Loren van Themaat
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark.
| | - Bob Oranje
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Services, Capital Region of Denmark, Denmark; Department of Psychiatry, UMC Utrecht Brain Center, the Netherlands
| | - Kit Melissa Larsen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - Leo Tomasevic
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - Line Korsgaard Johnsen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - Anne Amalie Elgaard Thorup
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Copenhagen Research Centre for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Kerstin Jessica Plessen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Service of Child and Adolescent Psychiatry, Department of Psychiatry, University Medical Center, University of Lausanne, Switzerland
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark.
| | - Merete Nordentoft
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Copenhagen Research Centre for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
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9
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Chaiyachati BH, Gur RE. Effect of child abuse and neglect on schizophrenia and other psychotic disorders. Pharmacol Biochem Behav 2021; 206:173195. [PMID: 33961909 PMCID: PMC10961915 DOI: 10.1016/j.pbb.2021.173195] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 04/20/2021] [Accepted: 04/29/2021] [Indexed: 12/25/2022]
Abstract
Childhood experiences impact long-term physical and behavioral health outcomes including potential risk for schizophrenia and psychosis. Negative experiences, such as child abuse and neglect, have been specifically associated with risk for schizophrenia and psychosis. This review provides a brief overview of child abuse and neglect, including its position within the larger field of trauma and adversity and its long term consequences. The link to schizophrenia is then explored. Principles of treatment and outcomes for schizophrenia with antecedent child abuse and neglect are then reviewed. Finally, next steps and points of prevention are highlighted.
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Affiliation(s)
- Barbara H Chaiyachati
- The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America; The University of Pennsylvania, Lifespan Brain Institute of Penn-Medicine and CHOP, Philadelphia, PA, United States of America; The Center for Pediatric Clinical Effectiveness and Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America; The Leonard Davis Institute, University of Pennsylvania, Philadelphia, PA, United States of America.
| | - Raquel E Gur
- The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America; The University of Pennsylvania, Lifespan Brain Institute of Penn-Medicine and CHOP, Philadelphia, PA, United States of America
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10
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Fusar‐Poli P, Correll CU, Arango C, Berk M, Patel V, Ioannidis JP. Preventive psychiatry: a blueprint for improving the mental health of young people. World Psychiatry 2021; 20:200-221. [PMID: 34002494 PMCID: PMC8129854 DOI: 10.1002/wps.20869] [Citation(s) in RCA: 170] [Impact Index Per Article: 56.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Preventive approaches have latterly gained traction for improving mental health in young people. In this paper, we first appraise the conceptual foundations of preventive psychiatry, encompassing the public health, Gordon's, US Institute of Medicine, World Health Organization, and good mental health frameworks, and neurodevelopmentally-sensitive clinical staging models. We then review the evidence supporting primary prevention of psychotic, bipolar and common mental disorders and promotion of good mental health as potential transformative strategies to reduce the incidence of these disorders in young people. Within indicated approaches, the clinical high-risk for psychosis paradigm has received the most empirical validation, while clinical high-risk states for bipolar and common mental disorders are increasingly becoming a focus of attention. Selective approaches have mostly targeted familial vulnerability and non-genetic risk exposures. Selective screening and psychological/psychoeducational interventions in vulnerable subgroups may improve anxiety/depressive symptoms, but their efficacy in reducing the incidence of psychotic/bipolar/common mental disorders is unproven. Selective physical exercise may reduce the incidence of anxiety disorders. Universal psychological/psychoeducational interventions may improve anxiety symptoms but not prevent depressive/anxiety disorders, while universal physical exercise may reduce the incidence of anxiety disorders. Universal public health approaches targeting school climate or social determinants (demographic, economic, neighbourhood, environmental, social/cultural) of mental disorders hold the greatest potential for reducing the risk profile of the population as a whole. The approach to promotion of good mental health is currently fragmented. We leverage the knowledge gained from the review to develop a blueprint for future research and practice of preventive psychiatry in young people: integrating universal and targeted frameworks; advancing multivariable, transdiagnostic, multi-endpoint epidemiological knowledge; synergically preventing common and infrequent mental disorders; preventing physical and mental health burden together; implementing stratified/personalized prognosis; establishing evidence-based preventive interventions; developing an ethical framework, improving prevention through education/training; consolidating the cost-effectiveness of preventive psychiatry; and decreasing inequalities. These goals can only be achieved through an urgent individual, societal, and global level response, which promotes a vigorous collaboration across scientific, health care, societal and governmental sectors for implementing preventive psychiatry, as much is at stake for young people with or at risk for emerging mental disorders.
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Affiliation(s)
- Paolo Fusar‐Poli
- Early Psychosis: Interventions and Clinical‐detection (EPIC) Lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK,OASIS Service, South London and Maudsley NHS Foundation TrustLondonUK,Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Christoph U. Correll
- Department of PsychiatryZucker Hillside Hospital, Northwell HealthGlen OaksNYUSA,Department of Psychiatry and Molecular MedicineZucker School of Medicine at Hofstra/NorthwellHempsteadNYUSA,Center for Psychiatric NeuroscienceFeinstein Institute for Medical ResearchManhassetNYUSA,Department of Child and Adolescent PsychiatryCharité Universitätsmedizin BerlinBerlinGermany
| | - Celso Arango
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio MarañónMadridSpain,Health Research Institute (IiGSM), School of MedicineUniversidad Complutense de MadridMadridSpain,Biomedical Research Center for Mental Health (CIBERSAM)MadridSpain
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin UniversityBarwon HealthGeelongVICAustralia,Department of PsychiatryUniversity of MelbourneMelbourneVICAustralia,Orygen Youth HealthUniversity of MelbourneMelbourneVICAustralia,Florey Institute for Neuroscience and Mental HealthUniversity of MelbourneMelbourneVICAustralia
| | - Vikram Patel
- Department of Global Health and Social MedicineHarvard University T.H. Chan School of Public HealthBostonMAUSA,Department of Global Health and PopulationHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - John P.A. Ioannidis
- Stanford Prevention Research Center, Department of MedicineStanford UniversityStanfordCAUSA,Department of Biomedical Data ScienceStanford UniversityStanfordCAUSA,Department of Epidemiology and Population HealthStanford UniversityStanfordCAUSA
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11
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Wu J, Long X, Liu F, Qi A, Chen Q, Guan X, Zhang Q, Yao Y, Shi J, Xie S, Yan W, Hu M, Yuan X, Tang J, Wu S, Zhang T, Wang J, Lu Z. Screening of the college students at clinical high risk for psychosis in China: a multicenter epidemiological study. BMC Psychiatry 2021; 21:253. [PMID: 34001048 PMCID: PMC8127262 DOI: 10.1186/s12888-021-03229-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 04/21/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND To investigate a 3-stage screening procedure and explore the clinical features of subjects at Clinical High Risk (CHR) for psychosis in a representative sample of Chinese college students. METHODS An epidemiological survey of the prevalence of the CHR syndrome in Chinese college students that was selected by stratified random sampling from Shanghai, Nanjing and Nanchang cities was done following a 3-stage procedure. Participants were initially screened with the Prodromal Questionnaire-brief version (PQ-B), and whose distress score of PQ-B exceeded 24 would be invited to a telephone assessment using the subscale for positive symptoms of the Scale of Prodromal Symptoms (SOPS)/Structured Interview for Prodromal Syndromes (SIPS). Lastly, participants who scored 3 or higher in any item of the subscale would be administered with the SIPS interview conducted by trained researchers to confirm the diagnosis of CHR syndrome. RESULTS Twenty-three thousand sixty-three college students completed the survey during September 2017 to October 2018. Seventy-two students were diagnosed as CHR subjects, and the detection rate in the total sample was 0.3%. The peak age range for the first diagnosis of CHR was 17 to 20 years. Thirteen and forty-six were set as the cutoff points of PQ-B total score and distress score to balance the greatest sensitivity and specificity. Binary logistic regression revealed that 8 items in PQ-B showed significant distinction for detecting CHR subjects. CONCLUSIONS The 3-stage screening method can be utilized in the detection of CHR subjects for psychosis in the general population, during which delusional ideas, perceptual abnormalities and suspiciousness deserve great attention.
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Affiliation(s)
- Jiaxin Wu
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China ,grid.24516.340000000123704535Tongji University School of Medicine, Shanghai, 200092 PR China
| | - Xiangyun Long
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China ,grid.24516.340000000123704535Tongji University School of Medicine, Shanghai, 200092 PR China
| | - Fei Liu
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Ansi Qi
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Qi Chen
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Xiaofeng Guan
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Qiong Zhang
- grid.24516.340000000123704535Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 PR China
| | - Yuhong Yao
- grid.24516.340000000123704535Tongji University School of Medicine, Shanghai, 200092 PR China
| | - Jingyu Shi
- grid.24516.340000000123704535Tongji University School of Medicine, Shanghai, 200092 PR China
| | - Shiping Xie
- grid.89957.3a0000 0000 9255 8984Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029 PR China
| | - Wei Yan
- grid.89957.3a0000 0000 9255 8984Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029 PR China
| | - Maorong Hu
- grid.412604.50000 0004 1758 4073Department of Psychiatry, The First Affiliated Hospital of Nanchang University, Nanchang, 330006 PR China
| | - Xin Yuan
- grid.412604.50000 0004 1758 4073Department of Psychiatry, The First Affiliated Hospital of Nanchang University, Nanchang, 330006 PR China
| | - Jun Tang
- grid.412604.50000 0004 1758 4073Department of Psychiatry, The First Affiliated Hospital of Nanchang University, Nanchang, 330006 PR China
| | - Siliang Wu
- grid.412604.50000 0004 1758 4073Department of Psychiatry, The First Affiliated Hospital of Nanchang University, Nanchang, 330006 PR China
| | - Tianhong Zhang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030 PR China
| | - Jijun Wang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030 PR China
| | - Zheng Lu
- Department of Psychiatry, Tongji Hospital of Tongji University, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065, PR China. .,Tongji University School of Medicine, Shanghai, 200092, PR China.
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12
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Poletti M, Gebhardt E, Raballo A. Developmental dynamic interplay between executive functions and psychotic risk. APPLIED NEUROPSYCHOLOGY. CHILD 2021; 10:194-197. [PMID: 31318294 DOI: 10.1080/21622965.2019.1641096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
According to the neurodevelopmental hypothesis of schizophrenia, the premorbid stages of nonaffective psychosis are characterized by early phenotypic manifestations of neurobiological vulnerability, whose developmental trends are accurately characterized for IQ, language, and motor abilities. More elusive is the developmental relationship between psychotic risk and executive functions. Few longitudinal studies are available on this relationship, suggesting a developmental lag for executive functions in subjects that will develop psychosis in young adulthood. In this brief commentary we underline specific developmental characteristics of psychotic manifestations that should be considered by further studies, which are aimed at grasping the developmental relationship between psychotic risk and neurocognitive features. Psychosis is an end-stage phenomenon that represents the long-term outcome of a prolonged psychopathological construction. By designing studies addressing developmentally-sensitive risk phenotypes for psychosis, it will be possible to understand how executive functions (among other neurocognitive features) might impact the risk of developing psychosis.
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Affiliation(s)
- Michele Poletti
- Department of Mental Health, Azienda Unità Sanitaria Locale-IRCSS, Reggio Emilia, Italy
| | - Eva Gebhardt
- Melograno Medical Psychotherapy Centre, Rome, Italy
| | - Andrea Raballo
- Department of Medicine, Division of Psychiatry, Clinical Psychology and Rehabilitation, University of Perugia, Perugia, Italy
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13
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Salagre E, Grande I, Solé B, Mezquida G, Cuesta MJ, Díaz-Caneja CM, Amoretti S, Lobo A, González-Pinto A, Moreno C, Pina-Camacho L, Corripio I, Baeza I, Bergé D, Verdolini N, Carvalho AF, Vieta E, Bernardo M. Exploring Risk and Resilient Profiles for Functional Impairment and Baseline Predictors in a 2-Year Follow-Up First-Episode Psychosis Cohort Using Latent Class Growth Analysis. J Clin Med 2020; 10:E73. [PMID: 33379225 PMCID: PMC7796026 DOI: 10.3390/jcm10010073] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 12/21/2020] [Accepted: 12/22/2020] [Indexed: 12/22/2022] Open
Abstract
Being able to predict functional outcomes after First-Episode Psychosis (FEP) is a major goal in psychiatry. Thus, we aimed to identify trajectories of psychosocial functioning in a FEP cohort followed-up for 2 years in order to find premorbid/baseline predictors for each trajectory. Additionally, we explored diagnosis distribution within the different trajectories. A total of 261 adults with FEP were included. Latent class growth analysis identified four distinct trajectories: Mild impairment-Improving trajectory (Mi-I) (38.31% of the sample), Moderate impairment-Stable trajectory (Mo-S) (18.39%), Severe impairment-Improving trajectory (Se-I) (12.26%), and Severe impairment-Stable trajectory (Se-S) (31.03%). Participants in the Mi-I trajectory were more likely to have higher parental socioeconomic status, less severe baseline depressive and negative symptoms, and better premorbid adjustment than individuals in the Se-S trajectory. Participants in the Se-I trajectory were more likely to have better baseline verbal learning and memory and better premorbid adjustment than those in the Se-S trajectory. Lower baseline positive symptoms predicted a Mo-S trajectory vs. Se-S trajectory. Diagnoses of Bipolar disorder and Other psychoses were more prevalent among individuals falling into Mi-I trajectory. Our findings suggest four distinct trajectories of psychosocial functioning after FEP. We also identified social, clinical, and cognitive factors associated with more resilient trajectories, thus providing insights for early interventions targeting psychosocial functioning.
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Affiliation(s)
- Estela Salagre
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - Iria Grande
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - Brisa Solé
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Department of Medicine, Institut de Neurociències, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Universitat de Barcelona, 08036 Barcelona, Spain; (G.M.); (S.A.); (M.B.)
| | - Manuel J. Cuesta
- Department of Psychiatry, Instituto de Investigaciones Sanitarias de Navarra (IdiSNa), Complejo Hospitalario de Navarra, 31008 Pamplona, Spain;
| | - Covadonga M. Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, 28007 Madrid, Spain; (C.M.D.-C.); (C.M.); (L.P.-C.)
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Department of Medicine, Institut de Neurociències, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Universitat de Barcelona, 08036 Barcelona, Spain; (G.M.); (S.A.); (M.B.)
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, 50009 Zaragoza, Spain;
| | - Ana González-Pinto
- Department of Psychiatry, Hospital Universitario de Alava, BIOARABA Health Research Institute, University of the Basque Country, 01009 Vitoria, Spain;
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain;
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, 28007 Madrid, Spain; (C.M.D.-C.); (C.M.); (L.P.-C.)
| | - Laura Pina-Camacho
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, 28007 Madrid, Spain; (C.M.D.-C.); (C.M.); (L.P.-C.)
| | - Iluminada Corripio
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain;
- Department of Psychiatry, Biomedical Research Institute Sant Pau (IIB-SANT PAU), Hospital Sant Pau, Universitat Autònoma de Barcelona (UAB), 08041 Barcelona, Spain
| | - Immaculada Baeza
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Child and Adolescent Psychiatry and Psychology Department, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic of Barcelona, SGR-881, Universitat de Barcelona, 08036 Barcelona, Spain;
| | - Daniel Bergé
- Hospital del Mar Medical Research Institute, CIBERSAM, Autonomous University of Barcelona, 08003 Barcelona, Spain;
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - André F. Carvalho
- Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON M6J 1H4, Canada;
- The IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3220, Australia
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - Miquel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Department of Medicine, Institut de Neurociències, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Universitat de Barcelona, 08036 Barcelona, Spain; (G.M.); (S.A.); (M.B.)
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14
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Osborne KJ, Walther S, Shankman SA, Mittal VA. Psychomotor Slowing in Schizophrenia: Implications for Endophenotype and Biomarker Development. Biomark Neuropsychiatry 2020; 2:100016. [PMID: 33738459 PMCID: PMC7963400 DOI: 10.1016/j.bionps.2020.100016] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Motor abnormalities (e.g., dyskinesia, psychomotor slowing, neurological soft signs) are core features of schizophrenia that occur independent of drug treatment and are associated with the genetic vulnerability and pathophysiology for the illness. Among this list, psychomotor slowing in particular is one of the most consistently observed and robust findings in the field. Critically, psychomotor slowing may serve as a uniquely promising endophenotype and/or biomarker for schizophrenia considering it is frequently observed in those with genetic vulnerability for the illness, predicts transition in subjects at high-risk for the disorder, and is associated with symptoms and recovery in patients. The purpose of the present review is to provide an overview of the history of psychomotor slowing in psychosis, discuss its possible neural underpinnings, and review the current literature supporting slowing as a putative endophenotype and/or biomarker for the illness. This review summarizes substantial evidence from a diverse array of methodologies and research designs that supports the notion that psychomotor slowing not only reflects genetic vulnerability, but is also sensitive to disease processes and the pathophysiology of the illness. Furthermore, there are unique deficits across the cognitive (prefix "psycho") and motor execution (root word "motor") aspects of slowing, with cognitive processes such as planning and response selection being particularly affected. These findings suggest that psychomotor slowing may serve as a promising endophenotype and biomarker for schizophrenia that may prove useful for identifying individuals at greatest risk and tracking the course of the illness and recovery.
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Affiliation(s)
- K. Juston Osborne
- Northwestern University, Department of Psychology, Evanston, IL, USA
| | - Sebastian Walther
- University of Bern, University Hospital of Psychiatry, Translational Research Center, Bern, Switzerland
| | - Stewart A. Shankman
- Northwestern University, Department of Psychology, Evanston, IL, USA
- Northwestern University, Department of Psychiatry, Chicago, IL, USA
| | - Vijay A. Mittal
- Northwestern University, Department of Psychology, Evanston, IL, USA
- Northwestern University, Department of Psychiatry, Chicago, IL, USA
- Northwestern University, Department of Psychiatry, Institute for Policy Research, Department of Medical Social Sciences, Institute for Innovations in Developmental Sciences (DevSci), Evanston, Chicago, IL, USA
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15
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Davies C, Segre G, Estradé A, Radua J, De Micheli A, Provenzani U, Oliver D, Salazar de Pablo G, Ramella-Cravaro V, Besozzi M, Dazzan P, Miele M, Caputo G, Spallarossa C, Crossland G, Ilyas A, Spada G, Politi P, Murray RM, McGuire P, Fusar-Poli P. Prenatal and perinatal risk and protective factors for psychosis: a systematic review and meta-analysis. Lancet Psychiatry 2020; 7:399-410. [PMID: 32220288 DOI: 10.1016/s2215-0366(20)30057-2] [Citation(s) in RCA: 164] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 01/24/2020] [Accepted: 02/04/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Prenatal and perinatal insults are implicated in the aetiopathogenesis of psychotic disorders but the consistency and magnitude of their associations with psychosis have not been updated for nearly two decades. The aim of this systematic review and meta-analysis was to provide a comprehensive and up-to-date synthesis of the evidence on the association between prenatal or perinatal risk and protective factors and psychotic disorders. METHODS In this systematic review and meta-analysis, we searched the Web of Science database for articles published up to July 20, 2019. We identified cohort and case-control studies examining the association (odds ratio [OR]) between prenatal and perinatal factors and any International Classification of Diseases (ICD) or Diagnostic and Statistical Manual of Mental Disorders (DSM) non-organic psychotic disorder with a healthy comparison group. Other inclusion criteria were enough data available to do the analyses, and non-overlapping datasets. We excluded reviews, meta-analyses, abstracts or conference proceedings, and articles with overlapping datasets. Data were extracted according to EQUATOR and PRISMA guidelines. Extracted variables included first author, publication year, study type, sample size, type of psychotic diagnosis (non-affective psychoses or schizophrenia-spectrum disorders, affective psychoses) and diagnostic instrument (DSM or ICD and version), the risk or protective factor, and measure of association (primary outcome). We did random-effects pairwise meta-analyses, Q statistics, I2 index, sensitivity analyses, meta-regressions, and assessed study quality and publication bias. The study protocol was registered at PROSPERO, CRD42017079261. FINDINGS 152 studies relating to 98 risk or protective factors were eligible for analysis. Significant risk factors were: maternal age younger than 20 years (OR 1·17) and 30-34 years (OR 1·05); paternal age younger than 20 years (OR 1·31) and older than 35 years (OR 1·28); any maternal (OR 4·60) or paternal (OR 2·73) psychopathology; maternal psychosis (OR 7·61) and affective disorder (OR 2·26); three or more pregnancies (OR 1·30); herpes simplex 2 (OR 1·35); maternal infections not otherwise specified (NOS; OR 1·27); suboptimal number of antenatal visits (OR 1·83); winter (OR 1·05) and winter to spring (OR 1·05) season of birth in the northern hemisphere; maternal stress NOS (OR 2·40); famine (OR 1·61); any famine or nutritional deficits in pregnancy (OR 1·40); maternal hypertension (OR 1·40); hypoxia (OR 1·63); ruptured (OR 1·86) and premature rupture (OR 2·29) of membranes; polyhydramnios (OR 3·05); definite obstetric complications NOS (OR 1·83); birthweights of less than 2000 g (OR 1·84), less than 2500 g (OR 1·53), or 2500-2999 g (OR 1·23); birth length less than 49 cm (OR 1·17); small for gestational age (OR 1·40); premature birth (OR 1·35), and congenital malformations (OR 2·35). Significant protective factors were maternal ages 20-24 years (OR 0·93) and 25-29 years (OR 0·92), nulliparity (OR 0·91), and birthweights 3500-3999 g (OR 0·90) or more than 4000 g (OR 0·86). The results were corrected for publication biases; sensitivity and meta-regression analyses confirmed the robustness of these findings for most factors. INTERPRETATION Several prenatal and perinatal factors are associated with the later onset of psychosis. The updated knowledge emerging from this study could refine understanding of psychosis pathogenesis, enhance multivariable risk prediction, and inform preventive strategies. FUNDING None.
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Affiliation(s)
- Cathy Davies
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giulia Segre
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Andrés Estradé
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Clinical and Health Psychology, Universidad Católica, Montevideo, Uruguay
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Imaging of Mood and Anxiety-Related Disorders (IMARD) group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Andrea De Micheli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; National Institute for Health Research Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Umberto Provenzani
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Universidad Complutense, CIBERSAM, Madrid, Spain
| | - Valentina Ramella-Cravaro
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Maria Besozzi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Maddalena Miele
- Perinatal Mental Health Service, St Mary's Hospital, Imperial College London and Central North West London NHS Foundation Trust, London, UK
| | - Gianluigi Caputo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Cecilia Spallarossa
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Georgia Crossland
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Athif Ilyas
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giulia Spada
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; National Institute for Health Research Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK; Outreach And Support in South London (OASIS) Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; National Institute for Health Research Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK; Outreach And Support in South London (OASIS) Service, South London and Maudsley NHS Foundation Trust, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
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16
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Maziade M, Silverstein SM. The place of the retina in psychiatry: Uniting neurobiological and neurodevelopmental research with clinical research in psychiatric disorders. Schizophr Res 2020; 219:1-4. [PMID: 32249123 DOI: 10.1016/j.schres.2020.03.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 03/17/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Michel Maziade
- Medicine Faculty, University Laval Québec Research Center CERVO, CIUSSS de la Capitale-Nationale.
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17
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Poletti M, Gebhardt E, Pelizza L, Preti A, Raballo A. Looking at Intergenerational Risk Factors in Schizophrenia Spectrum Disorders: New Frontiers for Early Vulnerability Identification? Front Psychiatry 2020; 11:566683. [PMID: 33192689 PMCID: PMC7649773 DOI: 10.3389/fpsyt.2020.566683] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 09/22/2020] [Indexed: 12/02/2022] Open
Abstract
Offspring of individuals with serious mental illness (SMI) constitute a special population with a higher risk of developing psychiatric disorders, which is also highly prevalent among referrals to child and adolescent mental health services (CAMHS). They often exhibit more or less subclinical conditions of vulnerability, fueled by mutually potentiating combinations of risk factors, such as presumed genetic risk, poor or inadequate affective and cognitive parenting, and low socio-economic status. Despite this evidence, neither specific preventive programs for offspring of parents with SMI are usually implemented in CAMHS, nor dedicated supportive programs for parenting are generally available in adult mental health services (AMHS). Needless to say, while both service systems tend to focus on individual recovery and clinical management (rather than on the whole family system), these blind spots add up to frequent gaps in communication and continuity of care between CAMHS and AMHS. This is particularly problematic in an age-range in which an offspring's vulnerabilities encounter the highest epidemiological peak of incident risk of SMI. This paper offers a clinical-conceptual perspective aimed to disentangle the complex intertwine of intergenerational risk factors that contribute to the risk of developing SMI in offspring, taking schizophrenia spectrum disorders as a paradigmatic example.
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Affiliation(s)
- Michele Poletti
- Child and Adolescent Neuropsychiatry Unit, Department of Mental Health and Pathological Addiction, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Eva Gebhardt
- Department of Mental Health, ASL Roma 4, Civitavecchia, Italy
| | - Lorenzo Pelizza
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Antonio Preti
- Department of Neuroscience, University of Turin, Turin, Italy
| | - Andrea Raballo
- Section of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Perugia, Italy.,Center for Translational, Phenomenological and Developmental Psychopathology, Perugia University Hospital, Perugia, Italy
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18
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Christiani CJ, Jepsen JRM, Thorup A, Hemager N, Ellersgaard D, Spang KS, Burton BK, Gregersen M, Søndergaard A, Greve AN, Gantriis DL, Poulsen G, Uddin MJ, Seidman LJ, Mors O, Plessen KJ, Nordentoft M. Social Cognition, Language, and Social Behavior in 7-Year-Old Children at Familial High-Risk of Developing Schizophrenia or Bipolar Disorder: The Danish High Risk and Resilience Study VIA 7-A Population-Based Cohort Study. Schizophr Bull 2019; 45:1218-1230. [PMID: 30852621 PMCID: PMC6811824 DOI: 10.1093/schbul/sbz001] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To characterize social cognition, language, and social behavior as potentially shared vulnerability markers in children at familial high-risk of schizophrenia (FHR-SZ) and bipolar disorder (FHR-BP). METHODS The Danish High-Risk and Resilience Study VIA7 is a multisite population-based cohort of 522 7-year-old children extracted from the Danish registries. The population-based controls were matched to the FHR-SZ children on age, sex, and municipality. The FHR-BP group followed same inclusion criteria. Data were collected blinded to familial high-risk status. Outcomes were social cognition, language, and social behavior. RESULTS The analysis included 202 FHR-SZ children (girls: 46%), 120 FHR-BP children (girls: 46.7%), and 200 controls (girls: 46.5%). FHR-SZ children displayed significant deficits in language (receptive: d = -0.27, P = .006; pragmatic: d = -0.51, P < .001), social responsiveness (d = -0.54, P < .001), and adaptive social functioning (d = -0.47, P < .001) compared to controls after Bonferroni correction. Compared to FHR-BP children, FHR-SZ children performed significantly poorer on adaptive social functioning (d = -0.29, P = .007) after Bonferroni correction. FHR-BP and FHR-SZ children showed no significant social cognitive impairments compared to controls after Bonferroni correction. CONCLUSION Language, social responsiveness, and adaptive social functioning deficits seem associated with FHR-SZ but not FHR-BP in this developmental phase. The pattern of results suggests adaptive social functioning impairments may not be shared between FHR-BP and FHR-SZ in this developmental phase and thus not reflective of the shared risk factors for schizophrenia and bipolar disorder.
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Affiliation(s)
- Camilla Jerlang Christiani
- Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,To whom correspondence should be addressed; Mental Health Centre Copenhagen, Research Unit, The Danish High Risk and Resilience Study VIA 7; Kildegaardsvej 28, 15., 1., 2900 Hellerup, Denmark; tel: +4520220285; e-mail:
| | - Jens R M Jepsen
- Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Child and Adolescent Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Anne Thorup
- Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
| | - Nicoline Hemager
- Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Child and Adolescent Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Ditte Ellersgaard
- Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
| | - Katrine S Spang
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Child and Adolescent Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Birgitte K Burton
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Child and Adolescent Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Maja Gregersen
- Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
| | - Anne Søndergaard
- Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
| | - Aja N Greve
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Ditte L Gantriis
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Gry Poulsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark
| | - Md Jamal Uddin
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark
| | - Larry J Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, MA
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Kerstin J Plessen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Child and Adolescent Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,Services of Child and Adolescent Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
| | - Merete Nordentoft
- Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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A developmentally-stable pattern of premorbid schizoid-schizotypal features predicts psychotic transition from the clinical high-risk for psychosis state. Compr Psychiatry 2019; 90:95-101. [PMID: 30831438 DOI: 10.1016/j.comppsych.2019.02.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 02/05/2019] [Accepted: 02/13/2019] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Despite the extensive research performed on prediction of psychosis from a Clinical High Risk for Psychosis state (CHR-P), the positive predictive value of the CHR-P designation remains unsatisfactory and further models including additional clinical and biological variables are required. Existing studies indicate that schizotypy assessed at baseline in "at-risk" individuals may be considered a predictor of transition from CHR-P to psychosis. This approach, however, is burdened with bias resulting from a possible overlap between current psychopathology and schizotypal features. No studies so far have assessed schizotypy in CHR-P from a developmental perspective. AIM The aim of the study was to identify associations between a long-standing, parent-reported premorbid level of schizoid-schizotypal traits and the probability of psychotic transition in individuals with CHR-P. METHODS The mothers of 107 individuals diagnosed as presenting CHR-P with the use of Comprehensive Assessment of At Risk Mental States12/2006 were interviewed with the Scale for the Assessment of Premorbid Schizoid-Schizotypal Traits (PSST). RESULTS A high level of enduring schizotypy was found to be significantly associated with psychotic transition from CHR-P (HR: 1.78, 95% CI: 1.40-2.27, p < 0.0001), as indicated by the proportional hazards model, adjusted for age, sex and clinical covariates potentially related to the outcome. PSST items comprising negative schizotypy appeared to be the strongest predictors of transition. CONCLUSIONS The assessment of parent-reported, present early in the development premorbid schizoid-schizotypal traits, which can be easily performed in clinical settings, may be of value in estimating the probability of transition from an "at risk" state to psychotic disorder.
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20
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Short clinically-based prediction model to forecast transition to psychosis in individuals at clinical high risk state. Eur Psychiatry 2019; 58:72-79. [DOI: 10.1016/j.eurpsy.2019.02.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 02/26/2019] [Accepted: 02/27/2019] [Indexed: 12/19/2022] Open
Abstract
AbstractObjective:The predictive accuracy of the Clinical High Risk criteria for Psychosis (CHR-P) regarding the future development of the disorder remains suboptimal. It is therefore necessary to incorporate refined risk estimation tools which can be applied at the individual subject level. The aim of the study was to develop an easy-to use, short refined risk estimation tool to predict the development of psychosis in a new CHR-P cohort recruited in European country with less established early detection services.Methods:A cohort of 105 CHR-P individuals was assessed with the Comprehensive Assessment of At Risk Mental States12/2006, and then followed for a median period of 36 months (25th-75th percentile:10–59 months) for transition to psychosis. A multivariate Cox regression model predicting transition was generated with preselected clinical predictors and was internally validated with 1000 bootstrap resamples.Results:Speech disorganization and unusual thought content were selected as potential predictors of conversion on the basis of published literature. The prediction model was significant (p < 0.0001) and confirmed that both speech disorganization (HR = 1.69; 95%CI: 1.39–2.05) and unusual thought content (HR = 1.51; 95%CI: 1.27–1.80) were significantly associated with transition. The prognostic accuracy of the model was adequate (Harrell’s c- index = 0.79), even after optimism correction through internal validation procedures (Harrell’s c-index = 0.78).Conclusions:The clinical prediction model developed, and internally validated, herein to predict transition from a CHR-P to psychosis may be a promising tool for use in clinical settings. It has been incorporated into an online tool available at:https://link.konsta.com.pl/psychosis. Future external replication studies are needed.
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21
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Müller AD, Gjøde ICT, Eigil MS, Busck H, Bonne M, Nordentoft M, Thorup AAE. VIA Family-a family-based early intervention versus treatment as usual for familial high-risk children: a study protocol for a randomized clinical trial. Trials 2019; 20:112. [PMID: 30736834 PMCID: PMC6368720 DOI: 10.1186/s13063-019-3191-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 01/10/2019] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Children born to parents with a severe mental illness, like schizophrenia, bipolar disorder, or major recurrent depression, have an increased risk of developing a mental illness themselves during life. These children are also more likely to have developmental delays, cognitive disabilities, or social problems, and they may have a higher risk than the background population of experiencing adverse life events. This is due to both genetic and environmental factors, but despite the well-documented increased risk for children with a familial high risk, no family-based early intervention has been developed for them. This study aims to investigate the effect of an early intervention that focuses on reducing risk and increasing resilience for children in families where at least one parent has a severe mental illness. METHODS/DESIGN The study is a randomized clinical trial with 100 children aged 6-12 with familial high risk. It is performed in the context of the Danish health-care system. Families will be recruited from registers or be referred from the primary sector or hospitals. The children and their parents will be assessed at baseline and thereafter randomized and allocated to either treatment as usual or VIA Family. The intervention group will be assigned to a multidisciplinary team of specialists from adult mental health services, child and adolescent mental health services, and social services. This team will provide the basic treatment elements: case management, psychoeducation for the whole family, parental training, a safety plan, and potentially an early intervention if the child has mental problems. The study period is 18 months for both groups, and all participants will be assessed at baseline and after 18 months. The primary outcome measure will be daily functioning of the child, and the secondary measures are the psychopathology of the child, days of absence from school, family functioning, child's home environment, and parental stress. DISCUSSION This study is to our knowledge the first to explore the effects of a multidisciplinary team intervention that provides an intensive and flexible support to match the families' needs for children with a familial high risk for severe mental illness. The study will provide important knowledge about the potential for increasing resilience and reducing risk for children by supporting the whole family. However, a longer follow-up period may be needed. TRIAL REGISTRATION ClinicalTrials.gov, NCT03497663 . Registered on 13 April 2018.
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Affiliation(s)
- Anne D. Müller
- Research Unit, Child and Adolescent Mental Health Center, Lersø Parkallé 107, 1 th, 2100 Copenhagen, Capital Region of Denmark Denmark
| | - Ida C. T. Gjøde
- Research Unit, Child and Adolescent Mental Health Center, Lersø Parkallé 107, 1 th, 2100 Copenhagen, Capital Region of Denmark Denmark
| | - Mette S. Eigil
- Research Unit, Child and Adolescent Mental Health Center, Lersø Parkallé 107, 1 th, 2100 Copenhagen, Capital Region of Denmark Denmark
| | - Helle Busck
- Mental Health Center, Copenhagen, Capital Region of Denmark Denmark
| | - Merete Bonne
- Municipality of Frederiksberg, Family Department, Copenhagen, Denmark
| | - Merete Nordentoft
- Mental Health Center, Copenhagen, Capital Region of Denmark Denmark
- University of Copenhagen, Institute for Clinical Medicine, Faculty of Health Science, Copenhagen, Capital Region of Denmark Denmark
| | - Anne A. E. Thorup
- Research Unit, Child and Adolescent Mental Health Center, Lersø Parkallé 107, 1 th, 2100 Copenhagen, Capital Region of Denmark Denmark
- University of Copenhagen, Institute for Clinical Medicine, Faculty of Health Science, Copenhagen, Capital Region of Denmark Denmark
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Enhanced Molecular Appreciation of Psychiatric Disorders Through High-Dimensionality Data Acquisition and Analytics. Methods Mol Biol 2019; 2011:671-723. [PMID: 31273728 DOI: 10.1007/978-1-4939-9554-7_39] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The initial diagnosis, molecular investigation, treatment, and posttreatment care of major psychiatric disorders (schizophrenia and bipolar depression) are all still significantly hindered by the current inability to define these disorders in an explicit molecular signaling manner. High-dimensionality data analytics, using large datastreams from transcriptomic, proteomic, or metabolomic investigations, will likely advance both the appreciation of the molecular nature of major psychiatric disorders and simultaneously enhance our ability to more efficiently diagnose and treat these debilitating conditions. High-dimensionality data analysis in psychiatric research has been heterogeneous in aims and methods and limited by insufficient sample sizes, poorly defined case definitions, methodological inhomogeneity, and confounding results. All of these issues combine to constrain the conclusions that can be extracted from them. Here, we discuss possibilities for overcoming methodological challenges through the implementation of transcriptomic, proteomic, or metabolomics signatures in psychiatric diagnosis and offer an outlook for future investigations. To fulfill the promise of intelligent high-dimensionality data-based differential diagnosis in mental disease diagnosis and treatment, future research will need large, well-defined cohorts in combination with state-of-the-art technologies.
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Okkenhaug A, Tanem T, Myklebust TÅ, Gjervan B, Johansen A. Self-reported premorbid health in 15 individuals who later developed schizophrenia compared with healthy controls: Prospective data from the Young-HUNT1 Survey (The HUNT Study). ACTA ACUST UNITED AC 2018. [DOI: 10.15714/scandpsychol.5.e8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Koutsouleris N, Kambeitz-Ilankovic L, Ruhrmann S, Rosen M, Ruef A, Dwyer DB, Paolini M, Chisholm K, Kambeitz J, Haidl T, Schmidt A, Gillam J, Schultze-Lutter F, Falkai P, Reiser M, Riecher-Rössler A, Upthegrove R, Hietala J, Salokangas RKR, Pantelis C, Meisenzahl E, Wood SJ, Beque D, Brambilla P, Borgwardt S. Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis. JAMA Psychiatry 2018; 75:1156-1172. [PMID: 30267047 PMCID: PMC6248111 DOI: 10.1001/jamapsychiatry.2018.2165] [Citation(s) in RCA: 210] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Social and occupational impairments contribute to the burden of psychosis and depression. There is a need for risk stratification tools to inform personalized functional-disability preventive strategies for individuals in at-risk and early phases of these illnesses. OBJECTIVE To determine whether predictors associated with social and role functioning can be identified in patients in clinical high-risk (CHR) states for psychosis or with recent-onset depression (ROD) using clinical, imaging-based, and combined machine learning; assess the geographic, transdiagnostic, and prognostic generalizability of machine learning and compare it with human prognostication; and explore sequential prognosis encompassing clinical and combined machine learning. DESIGN, SETTING, AND PARTICIPANTS This multisite naturalistic study followed up patients in CHR states, with ROD, and with recent-onset psychosis, and healthy control participants for 18 months in 7 academic early-recognition services in 5 European countries. Participants were recruited between February 2014 and May 2016, and data were analyzed from April 2017 to January 2018. AIN OUTCOMES AND MEASURES Performance and generalizability of prognostic models. RESULTS A total of 116 individuals in CHR states (mean [SD] age, 24.0 [5.1] years; 58 [50.0%] female) and 120 patients with ROD (mean [SD] age, 26.1 [6.1] years; 65 [54.2%] female) were followed up for a mean (SD) of 329 (142) days. Machine learning predicted the 1-year social-functioning outcomes with a balanced accuracy of 76.9% of patients in CHR states and 66.2% of patients with ROD using clinical baseline data. Balanced accuracy in models using structural neuroimaging was 76.2% in patients in CHR states and 65.0% in patients with ROD, and in combined models, it was 82.7% for CHR states and 70.3% for ROD. Lower functioning before study entry was a transdiagnostic predictor. Medial prefrontal and temporo-parieto-occipital gray matter volume (GMV) reductions and cerebellar and dorsolateral prefrontal GMV increments had predictive value in the CHR group; reduced mediotemporal and increased prefrontal-perisylvian GMV had predictive value in patients with ROD. Poor prognoses were associated with increased risk of psychotic, depressive, and anxiety disorders at follow-up in patients in the CHR state but not ones with ROD. Machine learning outperformed expert prognostication. Adding neuroimaging machine learning to clinical machine learning provided a 1.9-fold increase of prognostic certainty in uncertain cases of patients in CHR states, and a 10.5-fold increase of prognostic certainty for patients with ROD. CONCLUSIONS AND RELEVANCE Precision medicine tools could augment effective therapeutic strategies aiming at the prevention of social functioning impairments in patients with CHR states or with ROD.
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Affiliation(s)
- Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | | | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Marlene Rosen
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Dominic B. Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Marco Paolini
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | | | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Theresa Haidl
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - André Schmidt
- Department of Psychiatry, University Psychiatric Clinic, Psychiatric University Hospital, University of Basel, Basel, Switzerland
| | - John Gillam
- Orygen, the National Centre of Excellence for Youth Mental Health, Melbourne, Australia,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Maximilian Reiser
- Department of Radiology, Ludwig-Maximilian-University, Munich, Germany
| | - Anita Riecher-Rössler
- Department of Psychiatry, University Psychiatric Clinic, Psychiatric University Hospital, University of Basel, Basel, Switzerland
| | - Rachel Upthegrove
- Institute of Mental Health, University of Birmingham, Birmingham, United Kingdom,School of Psychology, University of Birmingham, United Kingdom
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, Turku, Finland
| | | | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Australia ,Melbourne Health, Melbourne, Australia
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Stephen J. Wood
- School of Psychology, University of Birmingham, United Kingdom,Orygen, the National Centre of Excellence for Youth Mental Health, Melbourne, Australia,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Dirk Beque
- Corporate Global Research, GE Corporation, Munich, Germany
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Stefan Borgwardt
- Department of Psychiatry, University Psychiatric Clinic, Psychiatric University Hospital, University of Basel, Basel, Switzerland
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Ranning A, Laursen T, Agerbo E, Thorup A, Hjorthøj C, Jepsen JRM, Nordentoft M. School performance from primary education in the adolescent offspring of parents with schizophrenia and bipolar disorder- a national, register-based study. Psychol Med 2018; 48:1993-2000. [PMID: 29239287 DOI: 10.1017/s0033291717003518] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND Schizophrenia (SZ) and bipolar disorder (BP) are causes of severe disability worldwide and parents' severe mental illness (SMI) is associated with childhood adversity, and socio-emotional and cognitive problems in children. Yet, how parental BP and SZ affect educational attainment in offspring is still unclear. METHOD We included all children (N = 684.248) born and living in Denmark between 1986 and 1996 and their parents. Our follow-up lasted from 1986 until children's graduation in 2014. The main outcome variable was their school grades following their primary education. School outcomes were divided into four categories: not graduated, low-grade point average (GPA), medium GPA and high GPA. We then performed a multiple logistic regression with medium GPA as the reference category, with the children of parents without SZ or BP as the reference group. RESULTS Children of parents with SZ faced higher odds than their peers of not graduating primary education (OR 2.6), along with low GPA (odds ratios (OR) 1.6) and lower odds for a high GPA (OR 0.7). Moreover, it was the children of mothers rather than fathers with BP who had higher odds of not graduating primary education (OR 1.6). Lastly, child placement was associated with lower grades and lower graduation rates, and outcomes for children of parents with SMI were favorable compared with other children placed in care. CONCLUSION For children, parental SZ is associated with lower grades and lower chances for graduating primary education. In contrast, the children of parents with BP were indistinguishable from the reference group regarding school grades. This signifies that specificity of parental severe mental illness is important in relation to educational achievement of children.
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Affiliation(s)
- Anne Ranning
- Psychiatric Research Centre, Mental Health Center Copenhagen,Copenhagen,Capital Region of Denmark
| | - Thomas Laursen
- iPsych - The Lundbeck Foundation Initiative for Integrative Psychiatric Research,Denmark
| | - Esben Agerbo
- iPsych - The Lundbeck Foundation Initiative for Integrative Psychiatric Research,Denmark
| | - Anne Thorup
- Psychiatric Research Centre, Mental Health Center Copenhagen,Copenhagen,Capital Region of Denmark
| | - Carsten Hjorthøj
- Psychiatric Research Centre, Mental Health Center Copenhagen,Copenhagen,Capital Region of Denmark
| | | | - Merete Nordentoft
- Psychiatric Research Centre, Mental Health Center Copenhagen,Copenhagen,Capital Region of Denmark
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26
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A history of obstetric complications is associated with the risk of progression from an at risk mental state to psychosis. Schizophr Res 2018; 197:498-503. [PMID: 29117909 DOI: 10.1016/j.schres.2017.10.039] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 10/23/2017] [Accepted: 10/28/2017] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Clinical criteria for diagnosing Clinical High Risk for psychosis are now available. However, an understanding of the factors modulating the risk of subsequent development of frank psychosis in "at risk" individuals remains elusive. The aim of the study was to identify associations between obstetric history and the development of psychotic disorders in individuals with an At Risk Mental State (ARMS). METHODS Obstetric data was obtained from the medical records of 82 individuals meeting ARMS criteria. The participants were followed up for a mean period of 42.3 (±28.3) months for transition to psychosis. RESULTS A history of at least one obstetric complication (OC) endorsed as definite on the Lewis and Murray Obstetric Complications Scale was found to be associated with increased risk of transition to schizophrenia (OR: 6.57, 95% CI:1.89-22.85). The number of definite OCs was found to be positively correlated with the proportion of converters (p<0.0001). The probability of conversion to schizophrenia was found to increase with a decrease of Apgar-1 and Apgar-5 scores (ORs: 0.40, 95% CI:0.22-0.74 and 0.25, 95% CI:0.10-0.63, respectively). CONCLUSIONS The findings emphasise the potential value of including obstetric data in algorithms estimating the likelihood of transition of an ARMS to full-blown psychosis.
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Abstract
We review the changing conceptions of schizophrenia over the past 50 years as it became understood as a disorder of brain function and structure in which neurocognitive dysfunction was identified at different illness phases. The centrality of neurocognition has been recognized, especially because neurocognitive deficits are strongly related to social and role functioning in the illness, and as a result neurocognitive measures are used routinely in clinical assessment of individuals with schizophrenia. From the original definitions of the syndrome of schizophrenia in the early 20th century, impaired cognition, especially attention, was considered to be important. Neurocognitive impairments are found in the vast majority of individuals with schizophrenia, and they vary from mild, relatively restricted deficits, to dementia-like syndromes, as early as the first psychotic episode. Neurocognitive deficits are found in the premorbid phase in a substantial minority of pre-teenage youth who later develop schizophrenia, and they apparently worsen by the prodromal, high-risk phase in a majority of those who develop the illness. While there is limited evidence for reversibility of impairments from pharmacological interventions in schizophrenia, promising results have emerged from cognitive remediation studies. Thus, we expect cognitive interventions to play a larger role in schizophrenia in the coming years. Moreover, because youth at risk for schizophrenia can be identified by an emergent high-risk syndrome, earlier interventions might be applied in a pre-emptive way to reduce disability and improve adaptation. The notion of schizophrenia as a developmental neurocognitive disorder with stages opens up a window of possibilities for earlier interventions. (JINS, 2017, 23, 881-892).
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28
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Abstract
Outcomes of psychotic disorders are associated with high personal, familiar, societal and clinical burden. There is thus an urgent clinical and societal need for improving those outcomes. Recent advances in research knowledge have opened new opportunities for ameliorating outcomes of psychosis during its early clinical stages. This paper critically reviews these opportunities, summarizing the state-of-the-art knowledge and focusing on recent discoveries and future avenues for first episode research and clinical interventions. Candidate targets for primary universal prevention of psychosis at the population level are discussed. Potentials offered by primary selective prevention in asymptomatic subgroups (stage 0) are presented. Achievements of primary selected prevention in individuals at clinical high risk for psychosis (stage 1) are summarized, along with challenges and limitations of its implementation in clinical practice. Early intervention and secondary prevention strategies at the time of a first episode of psychosis (stage 2) are critically discussed, with a particular focus on minimizing the duration of untreated psychosis, improving treatment response, increasing patients' satisfaction with treatment, reducing illicit substance abuse and preventing relapses. Early intervention and tertiary prevention strategies at the time of an incomplete recovery (stage 3) are further discussed, in particular with respect to addressing treatment resistance, improving well-being and social skills with reduction of burden on the family, treatment of comorbid substance use, and prevention of multiple relapses and disease progression. In conclusion, to improve outcomes of a complex, heterogeneous syndrome such as psychosis, it is necessary to globally adopt complex models integrating a clinical staging framework and coordinated specialty care programmes that offer pre-emptive interventions to high-risk groups identified across the early stages of the disorder. Only a systematic implementation of these models of care in the national health care systems will render these strategies accessible to the 23 million people worldwide suffering from the most severe psychiatric disorders.
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Affiliation(s)
- Paolo Fusar‐Poli
- Early Psychosis: Interventions and Clinical Detection Lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK,OASIS Service, South London and Maudsley NHS Foundation TrustLondonUK
| | - Patrick D. McGorry
- Orygen, the National Centre of Excellence in Youth Mental Health, Parkville, Australia; Centre for Youth Mental Health, University of MelbourneMelbourneAustralia
| | - John M. Kane
- Zucker Hillside Hospital, Glen Oaks, NY, USA; Departments of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, NY, USA
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29
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Hennig T, Jaya ES, Lincoln TM. Bullying Mediates Between Attention-Deficit/Hyperactivity Disorder in Childhood and Psychotic Experiences in Early Adolescence. Schizophr Bull 2017; 43:1036-1044. [PMID: 27803356 PMCID: PMC5581899 DOI: 10.1093/schbul/sbw139] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Although a childhood diagnosis of attention-deficit/hyperactivity disorder (ADHD) is known to be linked to psychotic experiences and psychotic disorders in later life, the developmental trajectories that could explain this association are unknown. Using a sample from the prospective population-based Avon Longitudinal Study of Parents and Children (ALSPAC) (N = 8247), we hypothesized that the previously reported association of ADHD combined subtype in childhood and psychotic experiences in early adolescence is mediated by traumatic events and by involvement in bullying. Moreover, we expected this mediation to be specific to ADHD and tested this by comparison with specific phobia. Children with ADHD combined subtype at age 7 were more often involved in bullying at age 10 (OR 3.635, 95% CI 1.973-6.697) and had more psychotic experiences at age 12 (OR 3.362, 95% CI 1.781-6.348). Moreover, children who were involved in bullying had more psychotic experiences (2.005, 95% CI 1.684-2.388). Bullying was a significant mediator between ADHD and psychotic experiences accounting for 41%-50% of the effect. Traumatic events from birth to age 11 were also significantly associated with ADHD combined subtype and psychotic experiences; however, there was no evidence of mediation. Specific phobia was significantly associated with psychotic experiences, but not with bullying. To conclude, bullying is a relevant translating mechanism from ADHD in childhood to psychotic experiences in early adolescence. Interventions that eliminate bullying in children with ADHD could potentially reduce the risk of having psychotic experiences in later life by up to 50%. Clinicians should thus screen for bullying in routine assessments of children with ADHD.
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Affiliation(s)
- Timo Hennig
- Clinical Psychology and Psychotherapy, Institute of Psychology, University of Hamburg, Hamburg, Germany
| | - Edo S Jaya
- Clinical Psychology and Psychotherapy, Institute of Psychology, University of Hamburg, Hamburg, Germany
| | - Tania M Lincoln
- Clinical Psychology and Psychotherapy, Institute of Psychology, University of Hamburg, Hamburg, Germany
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30
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Han M, Zhang JC, Huang XF, Hashimoto K. Intake of 7,8-dihydroxyflavone from pregnancy to weaning prevents cognitive deficits in adult offspring after maternal immune activation. Eur Arch Psychiatry Clin Neurosci 2017; 267:479-483. [PMID: 28417199 DOI: 10.1007/s00406-017-0802-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 04/11/2017] [Indexed: 01/10/2023]
Abstract
Brain-derived neurotrophic factor (BDNF) and its high-affinity receptor, tropomyosin receptor kinase B (TrkB) signaling plays a key role in the brain neurodevelopment. The exposure of pregnant mice to polyinosinic-polycytidylic acid [poly(I:C)] causes cognitive deficits in adult offspring. Supplementation with a TrkB agonist, 7,8-dihydroxyflavone, in poly(I:C)-treated pregnant mice from pregnancy to weaning could prevent the onset of cognitive deficits and reduced BDNF-TrkB signaling in the prefrontal cortex of their adult offspring. These findings suggest that supplementation with a TrkB agonist in pregnant women with an ultra-high risk of psychosis may reduce the development of psychosis in their offspring.
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Affiliation(s)
- Mei Han
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, 260-8670, Japan.,School of Medicine, Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Ji-Chun Zhang
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, 260-8670, Japan
| | - Xu-Feng Huang
- School of Medicine, Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Kenji Hashimoto
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, 260-8670, Japan.
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31
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Forsyth JK, Lewis DA. Mapping the Consequences of Impaired Synaptic Plasticity in Schizophrenia through Development: An Integrative Model for Diverse Clinical Features. Trends Cogn Sci 2017; 21:760-778. [PMID: 28754595 DOI: 10.1016/j.tics.2017.06.006] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 05/13/2017] [Accepted: 06/09/2017] [Indexed: 01/19/2023]
Abstract
Schizophrenia is associated with alterations in sensory, motor, and cognitive functions that emerge before psychosis onset; identifying pathogenic processes that can account for this multi-faceted phenotype remains a challenge. Accumulating evidence suggests that synaptic plasticity is impaired in schizophrenia. Given the role of synaptic plasticity in learning, memory, and neural circuit maturation, impaired plasticity may underlie many features of the schizophrenia syndrome. Here, we summarize the neurobiology of synaptic plasticity, review evidence that plasticity is impaired in schizophrenia, and explore a framework in which impaired synaptic plasticity interacts with brain maturation to yield the emergence of sensory, motor, cognitive, and psychotic features at different times during development in schizophrenia. Key gaps in the literature and future directions for testing this framework are discussed.
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Affiliation(s)
- Jennifer K Forsyth
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, USA.
| | - David A Lewis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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32
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Agnew-Blais J, Seidman LJ, Fitzmaurice GM, Smoller JW, Goldstein JM, Buka SL. The interplay of childhood behavior problems and IQ in the development of later schizophrenia and affective psychoses. Schizophr Res 2017; 184:45-51. [PMID: 28062262 PMCID: PMC6140330 DOI: 10.1016/j.schres.2016.12.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 12/07/2016] [Accepted: 12/12/2016] [Indexed: 10/20/2022]
Abstract
Schizophrenia and affective psychoses are both associated with impaired social functioning, but the extent to which childhood behavioral impairments are present prior to onset of illness is less well studied. Moreover, the concurrent relationship of childhood behavior problems and premorbid IQ with subsequent psychotic disorder has not been established. We investigated whether childhood behavior problems are associated with increased risk for adult schizophrenia or affective psychosis, independently and in combination with IQ. The study included individuals with schizophrenia (N=47), affective psychoses (N=45) and non-psychotic controls (N=1496) from the New England Family Study. Behavior problems were prospectively assessed from standardized clinician observations at ages 4 and 7. IQ was assessed with the Stanford-Binet at age 4 and the Wechsler Intelligence Scale for Children at age 7. We found externalizing problems at age 4 and externalizing and internalizing problems at age 7 were associated with later schizophrenia, and both internalizing and externalizing problems at ages 4 and 7 were associated with later development of affective psychoses. Lower IQ at ages 4 and 7 was associated with schizophrenia, while lower IQ was associated with affective psychoses at age 7 only. Examined simultaneously, both lower IQ and behavior problems remained associated with risk of schizophrenia, while only behavior problems remained associated with affective psychoses. Behavior problems appear to be a general marker of risk of adult psychotic disorder, while lower childhood IQ is more specific to risk of schizophrenia. Future research should clarify the premorbid evolution of behavior and cognitive problems into adult psychosis.
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Affiliation(s)
- Jessica Agnew-Blais
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.
| | - Larry J. Seidman
- Harvard Medical School, Department of Psychiatry, Massachusetts Mental Health Center Division of Public Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA,Harvard Medical School, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Garrett M. Fitzmaurice
- Harvard Medical School, Laboratory for Psychiatric Biostatistics, McLean Hospital, Belmont, MA 02478,Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115
| | - Jordan W. Smoller
- Harvard Medical School, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA,Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetics Research, Massachusetts General Hospital, Boston, MA 02114
| | - Jill M. Goldstein
- Harvard Medical School, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA,Harvard Medical School, Department of Psychiatry, Division of Women’s Health, Connors Center for Women’s Health & Gender Biology, Boston, MA 02120
| | - Stephen L. Buka
- Brown University, Department of Epidemiology, Providence, RI 02912
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33
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Hennig T, Jaya ES, Koglin U, Lincoln TM. Associations of attention-deficit/hyperactivity and other childhood disorders with psychotic experiences and disorders in adolescence. Eur Child Adolesc Psychiatry 2017; 26:421-431. [PMID: 27623819 DOI: 10.1007/s00787-016-0904-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 09/06/2016] [Indexed: 12/31/2022]
Abstract
Prodromal symptoms of psychosis are associated with an increased risk of transition, functional impairment, poor mental health, and unfavorable developmental prospects. Existing interventions targeting the prodrome are non-satisfactory. It may thus be more promising to attempt to identify risk factors in the premorbid phase preceding the prodrome to increase the chances of successful preventive approaches. Here, we investigate whether childhood mental disorders in general and attention-deficit/hyperactivity disorder (ADHD) specifically indicate a risk for subsequent psychotic experiences and disorders. We used a sample from the prospective Avon Longitudinal Study of Parents and Children (N = 5528). When the participants were 7 years old, mental disorders were assigned according to the DSM-IV. In standardized interviews, psychotic experiences were assessed at age 12 and psychotic disorders at age 18. We examined the associations of each of the childhood mental disorders alone and in combination with psychotic experiences at age 12 and psychotic disorders at age 18 using logistic regression. Compared to participants without a disorder, participants with a mental disorder had a higher risk of psychotic experiences at age 12 (OR 1.70, 95 % CI 1.28-2.27) and of psychotic disorders at age 18 (OR 2.31, 95 % CI 1.03-5.15). Particularly, the ADHD combined subtype at age 7 was strongly associated with psychotic experiences at age 12 (OR 3.26, 95 % CI 1.74-6.10). As expected, childhood mental disorders are risk indicators of psychotic experiences and disorders. To improve prevention, health care professionals need to screen for psychotic experiences in children with non-psychotic disorders.
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Affiliation(s)
- Timo Hennig
- Clinical Psychology and Psychotherapy, Institute of Psychology, University of Hamburg, Hamburg, Germany.
| | - Edo S Jaya
- Clinical Psychology and Psychotherapy, Institute of Psychology, University of Hamburg, Hamburg, Germany
| | - Ute Koglin
- Department of Special Needs Education and Rehabilitation, University of Oldenburg, Oldenburg, Germany
| | - Tania M Lincoln
- Clinical Psychology and Psychotherapy, Institute of Psychology, University of Hamburg, Hamburg, Germany
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34
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Cuando la asistencia no sigue a la evidencia: el caso de la falta de programas de intervención temprana en psicosis en España. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2017; 10:78-86. [DOI: 10.1016/j.rpsm.2017.01.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 11/11/2016] [Accepted: 01/03/2017] [Indexed: 12/14/2022]
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35
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Chan V. Schizophrenia and Psychosis: Diagnosis, Current Research Trends, and Model Treatment Approaches with Implications for Transitional Age Youth. Child Adolesc Psychiatr Clin N Am 2017; 26:341-366. [PMID: 28314460 DOI: 10.1016/j.chc.2016.12.014] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This article reviews the current state of diagnosis and treatment of schizophrenia, describing the recent proliferation of research in high-risk psychosis spectrum conditions, which are different from childhood-onset and early onset schizophrenia, and findings of psychotic-like experiences in the normal population. Taken from adult and childhood literature, clinical quandaries in accurate diagnosis, and treatment gaps in co-occurring, or sometimes confounding, conditions are discussed. Thoughts on the impact of schizophrenia on an emerging adulthood trajectory are offered. Recent best practices in the treatment of schizophrenia are consistent with a recovery-oriented model of mental health services for transitional age youth.
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Affiliation(s)
- Vivien Chan
- 501 Student Health, Student Health Center, University of California Irvine, Irvine, CA 92697-5200, USA; Behavioral Health Services, Children, Youth & Prevention Division, Center for Resiliency Wellness & Education (First Episode Psychosis), Orange County Health Care Agency, 729 W Town & Country Road, Building E, Orange, CA 92868, USA; Department of Psychiatry & Human Behavior, UCI Health, Orange, CA 92868, USA.
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36
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Lin A, Di Prinzio P, Young D, Jacoby P, Whitehouse A, Waters F, Jablensky A, Morgan VA. Academic Performance in Children of Mothers With Schizophrenia and Other Severe Mental Illness, and Risk for Subsequent Development of Psychosis: A Population-Based Study. Schizophr Bull 2017; 43:205-213. [PMID: 27131155 PMCID: PMC5216844 DOI: 10.1093/schbul/sbw042] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVE We examined the academic performance at age 12 years of children of mothers diagnosed with schizophrenia or other severe mental illness using a large whole-population birth cohort born in Western Australia. We investigated the association between academic performance and the subsequent development of psychotic illness. METHOD The sample comprised 3169 children of mothers with severe mental illness (schizophrenia, bipolar disorder, unipolar major depression, delusional disorder or other psychoses; ICD-9 codes 295-298), and 88 353 children of comparison mothers without known psychiatric morbidity. Academic performance of children was indexed on a mandatory state-wide test of reading, spelling, writing and numeracy. RESULTS A larger proportion of children (43.1%) of mothers with severe mental illness performed below the acceptable standard than the reference group (30.3%; children of mothers with no known severe mental illness). After adjusting for covariates, children of mothers with any severe mental illness were more likely than the reference group to perform below-benchmark on all domains except reading. For all children, poor spelling was associated with the later development of psychosis, but particularly for those at familial risk for severe mental illness (hazard ratio [HR] = 1.81; 95% CI for HR = 1.21, 2.72). CONCLUSIONS Children of mothers with a severe mental illness are at increased risk for sub-standard academic achievement at age 12 years, placing these children at disadvantage for the transition to secondary school. For children with familial risk for severe mental illness, very poor spelling skills at age 12 years may be an indicator of risk for later psychotic disorder.
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Affiliation(s)
- Ashleigh Lin
- Telethon Kids Institute, University of Western Australia, Perth, Australia;
| | - Patsy Di Prinzio
- Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia
| | - Deidra Young
- Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia
| | - Peter Jacoby
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Andrew Whitehouse
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Flavie Waters
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia;,Clinical Research Centre, North Metropolitan Health Service Mental Health, Perth, Australia
| | - Assen Jablensky
- Centre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia
| | - Vera A. Morgan
- Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia;,Centre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia
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Núñez D, Arias VB, Campos S. The Reliability and Validity of Liu´s Self-Report Questionnaire for Screening Putative Pre-Psychotic States (BQSPS) in Adolescents. PLoS One 2016; 11:e0167982. [PMID: 27973533 PMCID: PMC5156383 DOI: 10.1371/journal.pone.0167982] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Accepted: 11/23/2016] [Indexed: 12/31/2022] Open
Abstract
The usage of rigorous analyses based on contemporary methods to enhance psychometric properties of screening questionnaires aimed to address psychotic-like experiences (PLE) is currently being encouraged. The Brief Self-Report Questionnaire for Screening Putative Pre-psychotic States (BQSPS) is a recently created tool addressing PLE beyond attenuated positive symptoms (APS). Its psychometric properties as a screening tool for first step assessment seems to be adequate, but further research is needed to evaluate certain validity aspects, particularly its dimensionality, internal structure, and psychometric properties in different populations. We assessed the reliability, construct validity, and criterion validity of BQSPS in two samples: 727 adolescents aged 13-18 years, and 245 young adults aged 18-33 years. We used exploratory structural equation modeling (ESEM), confirmatory factor analysis (CFA), and Structural Equation Modeling (SEM). The original four-factor structure was not replicated. The best fit in adolescents was obtained by a structure of three-correlated factors: social anxiety (SA), negative symptoms (NS), and positive symptoms (PS). This structure was confirmed in young adult subjects. The three-factor model reached a predictive capability with suicidality as external criterion. PLE are represented by a three-factor structure, which is highly stable between adolescent and young-adult samples. Although the BQSPS seems to be a valid tool for screening PLE, its psychometric properties should be improved to obtain a more accurate measurement.
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Affiliation(s)
- D. Núñez
- Faculty of Psychology, Universidad de Talca, Talca, Chile
- * E-mail:
| | - V. B. Arias
- Faculty of Psychology, Universidad de Talca, Talca, Chile
| | - S. Campos
- Faculty of Psychology, Universidad de Talca, Talca, Chile
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Debbané M, Salaminios G, Luyten P, Badoud D, Armando M, Solida Tozzi A, Fonagy P, Brent BK. Attachment, Neurobiology, and Mentalizing along the Psychosis Continuum. Front Hum Neurosci 2016; 10:406. [PMID: 27597820 PMCID: PMC4992687 DOI: 10.3389/fnhum.2016.00406] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 08/02/2016] [Indexed: 11/22/2022] Open
Abstract
In this review article, we outline the evidence linking attachment adversity to psychosis, from the premorbid stages of the disorder to its clinical forms. To better understand the neurobiological mechanisms through which insecure attachment may contribute to psychosis, we identify at least five neurobiological pathways linking attachment to risk for developing psychosis. Besides its well documented influence on the hypothalamic-pituary-adrenal (HPA) axis, insecure attachment may also contribute to neurodevelopmental risk through the dopaminergic and oxytonergic systems, as well as bear influence on neuroinflammation and oxidative stress responses. We further consider the neuroscientific and behavioral studies that underpin mentalization as a suite of processes potentially moderating the risk to transition to psychotic disorders. In particular, mentalization may help the individual compensate for endophenotypical impairments in the integration of sensory and metacognitive information. We propose a model where embodied mentalization would lie at the core of a protective, resilience response mitigating the adverse and potentially pathological influence of the neurodevelopmental cascade of risk for psychosis.
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Affiliation(s)
- Martin Debbané
- Faculty of Psychology and Educational Sciences, University of GenevaGeneva, Switzerland
- Research Department of Clinical, Educational and Health Psychology, University College LondonLondon, UK
- Office Médico-PédagogiqueGeneva, Switzerland
| | - George Salaminios
- Research Department of Clinical, Educational and Health Psychology, University College LondonLondon, UK
| | - Patrick Luyten
- Research Department of Clinical, Educational and Health Psychology, University College LondonLondon, UK
- Faculty of Psychology and Educational Sciences, University of LeuvenLeuven, Belgium
| | - Deborah Badoud
- Faculty of Psychology and Educational Sciences, University of GenevaGeneva, Switzerland
| | | | | | - Peter Fonagy
- Research Department of Clinical, Educational and Health Psychology, University College LondonLondon, UK
| | - Benjamin K. Brent
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical SchoolBoston, MA, USA
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Paccalet T, Gilbert E, Berthelot N, Marquet P, Jomphe V, Lussier D, Bouchard RH, Cliche D, Gingras N, Maziade M. Liability indicators aggregate many years before transition to illness in offspring descending from kindreds affected by schizophrenia or bipolar disorder. Schizophr Res 2016; 175:186-192. [PMID: 27160791 DOI: 10.1016/j.schres.2016.04.038] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 04/19/2016] [Accepted: 04/23/2016] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Offspring born to patients with affective and non-affective psychoses display indicators of brain dysfunctions that affected parents carry. Such indicators may help understand the risk trajectory. METHODS We followed up the clinical/developmental trajectories of 84 young offspring born to affected parents descending from the Quebec kindreds affected by schizophrenia or bipolar disorder. We longitudinally characterized childhood trajectories using 5 established risk indicators: cognitive impairments, psychotic-like experiences, non-psychotic DSM diagnosis and episodes of poor functioning, trauma and drug use. RESULTS Overall, offspring individually presented a high rate of risk indicators with 39% having 3 or more indicators. Thirty-three offspring progressed to an axis 1 DSM-IV disorder, 15 of whom transitioned to a major affective or non-affective disorder. The relative risks for each risk indicator were low in these vulnerable offspring (RR = 1.92 to 2.99). Remarkably, transitioners accumulated more risk indicators in childhood-adolescence than non-transitioners (Wilcoxon rank test; Z = 2.64, p = 0.008). Heterogeneity in the risk trajectories was observed. Outcome was not specific to parent's diagnosis. CONCLUSION Young offspring descending from kindreds affected by major psychoses would accumulate risk indicators many years before transition. A clustering of risk factors has also been observed in children at risk of metabolic-cardiovascular disorders and influences practice guidelines in this field. Our findings may be significant for the primary care surveillance of millions of children born to affected parents in the G7 nations. Future longitudinal risk research of children at genetic risk should explore concurrently several intrinsic and environmental risk modalities to increase predictivity.
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Affiliation(s)
- Thomas Paccalet
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada; Université du Québec à Trois-Rivières, Département des Sciences infirmières, QC, Canada
| | - Elsa Gilbert
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada; Université Laval, École de Psychologie, QC, Canada
| | - Nicolas Berthelot
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada; Université du Québec à Trois-Rivières, Département des Sciences infirmières, QC, Canada
| | - Pierre Marquet
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada; Université Laval, Faculté de Médecine, QC, Canada
| | - Valérie Jomphe
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada
| | - Daphné Lussier
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada
| | - Roch-Hugo Bouchard
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada; Université Laval, Faculté de Médecine, QC, Canada
| | - Denis Cliche
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada; Université Laval, Faculté de Médecine, QC, Canada
| | - Nathalie Gingras
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada; Université Laval, Faculté de Médecine, QC, Canada
| | - Michel Maziade
- Centre de recherche, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, QC, Canada; Université Laval, Faculté de Médecine, QC, Canada.
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Davis J, Eyre H, Jacka FN, Dodd S, Dean O, McEwen S, Debnath M, McGrath J, Maes M, Amminger P, McGorry PD, Pantelis C, Berk M. A review of vulnerability and risks for schizophrenia: Beyond the two hit hypothesis. Neurosci Biobehav Rev 2016; 65:185-94. [PMID: 27073049 PMCID: PMC4876729 DOI: 10.1016/j.neubiorev.2016.03.017] [Citation(s) in RCA: 201] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 03/25/2016] [Accepted: 03/25/2016] [Indexed: 01/15/2023]
Abstract
Schizophrenia risk has often been conceptualized using a model which requires two hits in order to generate the clinical phenotype-the first as an early priming in a genetically predisposed individual and the second a likely environmental insult. The aim of this paper was to review the literature and reformulate this binary risk-vulnerability model. We sourced the data for this narrative review from the electronic database PUBMED. Our search terms were not limited by language or date of publication. The development of schizophrenia may be driven by genetic vulnerability interacting with multiple vulnerability factors including lowered prenatal vitamin D exposure, viral infections, smoking intelligence quotient, social cognition cannabis use, social defeat, nutrition and childhood trauma. It is likely that these genetic risks, environmental risks and vulnerability factors are cumulative and interactive with each other and with critical periods of neurodevelopmental vulnerability. The development of schizophrenia is likely to be more complex and nuanced than the binary two hit model originally proposed nearly thirty years ago. Risk appears influenced by a more complex process involving genetic risk interfacing with multiple potentially interacting hits and vulnerability factors occurring at key periods of neurodevelopmental activity, which culminate in the expression of disease state. These risks are common across a number of neuropsychiatric and medical disorders, which might inform common preventive and intervention strategies across non-communicable disorders.
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Affiliation(s)
- Justin Davis
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia.
| | - Harris Eyre
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia
| | - Felice N Jacka
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia; University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia; Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Australia; Black Dog Institute, Sydney, Australia
| | - Seetal Dodd
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia; University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia
| | - Olivia Dean
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia; University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia
| | - Sarah McEwen
- Semel Institute for Neuroscience and Human Behavior, UCLA, United States
| | - Monojit Debnath
- Department of Human Genetics, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - John McGrath
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia; Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Queensland 4076, Australia
| | - Michael Maes
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia
| | - Paul Amminger
- Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia; Orygen, The National Centre of Excellence in Youth Mental Health and Orygen Youth Health Research Centre, 35 Poplar Rd., Parkville, 3052, Australia
| | - Patrick D McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health and Orygen Youth Health Research Centre, 35 Poplar Rd., Parkville, 3052, Australia; Centre of Youth Mental Health, University of Melbourne, 35 Poplar Rd., Parkville, 3052, Australia
| | - Christos Pantelis
- University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia; Department of Human Genetics, National Institute of Mental Health and Neurosciences, Bangalore, India; Melbourne Neuropsychiatry Centre, The University of Melbourne & Melbourne Health, Parkville, 3052, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Kenneth Myer Building, 30 Royal Parade, 3052, Parkville, Australia
| | - Michael Berk
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, P.O. Box 291, Geelong, 3220, Australia; University of Melbourne, Department of Psychiatry, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, 3052, Australia; Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Queensland 4076, Australia; Orygen, The National Centre of Excellence in Youth Mental Health and Orygen Youth Health Research Centre, 35 Poplar Rd., Parkville, 3052, Australia; Centre of Youth Mental Health, University of Melbourne, 35 Poplar Rd., Parkville, 3052, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Kenneth Myer Building, 30 Royal Parade, 3052, Parkville, Australia
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Sommer IE, Bearden CE, van Dellen E, Breetvelt EJ, Duijff SN, Maijer K, van Amelsvoort T, de Haan L, Gur RE, Arango C, Díaz-Caneja CM, Vinkers CH, Vorstman JA. Early interventions in risk groups for schizophrenia: what are we waiting for? NPJ SCHIZOPHRENIA 2016; 2:16003. [PMID: 27336054 PMCID: PMC4849435 DOI: 10.1038/npjschz.2016.3] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 01/29/2016] [Indexed: 12/16/2022]
Abstract
Intervention strategies in adolescents at ultra high-risk (UHR) for psychosis are promising for reducing conversion to overt illness, but have only limited impact on functional outcome. Recent studies suggest that cognition does not further decline during the UHR stage. As social and cognitive impairments typically develop before the first psychotic episode and even years before the UHR stage, prevention should also start much earlier in the groups at risk for schizophrenia and other psychiatric disorders. Early intervention strategies could aim to improve stress resilience, optimize brain maturation, and prevent or alleviate adverse environmental circumstances. These strategies should urgently be tested for efficacy: the prevalence of ~1% implies that yearly ~22 in every 100,000 people develop overt symptoms of this illness, despite the fact that for many of them—e.g., children with an affected first-degree family member or carriers of specific genetic variants—increased risk was already identifiable early in life. Our current ability to recognize several risk groups at an early age not only provides an opportunity, but also implies a clinical imperative to act. Time is pressing to investigate preventive interventions in high-risk children to mitigate or prevent the development of schizophrenia and related psychiatric disorders.
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Affiliation(s)
- Iris E Sommer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht , Utrecht, the Netherlands
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California , Los Angeles, CA, USA
| | - Edwin van Dellen
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht , Utrecht, the Netherlands
| | - Elemi J Breetvelt
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht , Utrecht, the Netherlands
| | - Sasja N Duijff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht , Utrecht, the Netherlands
| | - Kim Maijer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht , Utrecht, the Netherlands
| | - Therese van Amelsvoort
- Department of Psychiatry and Psychology, Maastricht University , Maastricht, The Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Academic Psychiatric Centre, AMC , Amsterdam, The Netherlands
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA, USA
| | - Celso Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, School of Medicine, Universidad Complutense , Madrid, Spain
| | - Covadonga M Díaz-Caneja
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, School of Medicine, Universidad Complutense , Madrid, Spain
| | - Christiaan H Vinkers
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht , Utrecht, the Netherlands
| | - Jacob As Vorstman
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht , Utrecht, the Netherlands
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42
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Modai S, Shomron N. Molecular Risk Factors for Schizophrenia. Trends Mol Med 2016; 22:242-253. [DOI: 10.1016/j.molmed.2016.01.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Revised: 01/15/2016] [Accepted: 01/15/2016] [Indexed: 01/02/2023]
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N100 Repetition Suppression Indexes Neuroplastic Defects in Clinical High Risk and Psychotic Youth. Neural Plast 2016; 2016:4209831. [PMID: 26881109 PMCID: PMC4737454 DOI: 10.1155/2016/4209831] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Revised: 09/21/2015] [Accepted: 10/01/2015] [Indexed: 02/06/2023] Open
Abstract
Highly penetrant mutations leading to schizophrenia are enriched for genes coding for N-methyl-D-aspartate receptor signaling complex (NMDAR-SC), implicating plasticity defects in the disease's pathogenesis. The importance of plasticity in neurodevelopment implies a role for therapies that target these mechanisms in early life to prevent schizophrenia. Testing such therapies requires noninvasive methods that can assess engagement of target mechanisms. The auditory N100 is an obligatory cortical response whose amplitude decreases with tone repetition. This adaptation may index the health of plasticity mechanisms required for normal development. We exposed participants aged 5 to 17 years with psychosis (n = 22), at clinical high risk (CHR) for psychosis (n = 29), and healthy controls (n = 17) to an auditory tone repeated 450 times and measured N100 adaptation (mean amplitude during first 150 tones − mean amplitude during last 150 tones). N100 adaptation was reduced in CHR and psychosis, particularly among participants <13 years old. Initial N100 blunting partially accounted for differences. Decreased change in the N100 amplitude with tone repetition may be a useful marker of defects in neuroplastic mechanisms measurable early in life.
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Dong C, Hashimoto K. Early Intervention for Psychosis with N-Methyl-D-Aspartate Receptor Modulators. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2015; 13:328-9. [PMID: 26598597 PMCID: PMC4662175 DOI: 10.9758/cpn.2015.13.3.328] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 07/07/2015] [Indexed: 11/18/2022]
Affiliation(s)
- Chao Dong
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, Japan
| | - Kenji Hashimoto
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, Japan
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45
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Thorup AAE, Jepsen JR, Ellersgaard DV, Burton BK, Christiani CJ, Hemager N, Skjærbæk M, Ranning A, Spang KS, Gantriis DL, Greve AN, Zahle KK, Mors O, Plessen KJ, Nordentoft M. The Danish High Risk and Resilience Study--VIA 7--a cohort study of 520 7-year-old children born of parents diagnosed with either schizophrenia, bipolar disorder or neither of these two mental disorders. BMC Psychiatry 2015; 15:233. [PMID: 26432691 PMCID: PMC4592560 DOI: 10.1186/s12888-015-0616-5] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 09/25/2015] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Severe mental illnesses like schizophrenia and bipolar disorder are known to be diseases that to some extent, but not entirely can be understood genetically. The dominating hypothesis is that these disorders should be understood in a neurodevelopmental perspective where genes and environment as well as gene-environment-interactions contribute to the risk of developing the disease. We aim to analyse the influences of genetic risk and environmental factors in a population of 520 7-year-old children with either 0, 1 or 2 parents diagnosed with schizophrenia spectrum psychosis or bipolar disorder on mental health and level of functioning. We hypothesize that a larger proportion of children growing up with an ill parent will display abnormal or delayed development, behavioural problems or psychiatric symptoms compared to the healthy controls. METHODS/DESIGN We are establishing a cohort of 5207 year old children and both their parents for a comprehensive investigation with main outcome measures being neurocognition, behaviour, psychopathology and neuromotor development of the child. Parents and children are examined with a comprehensive battery of instruments and are asked for genetic material (saliva or blood) for genetic analyses. The participants are recruited via Danish registers to ensure representativity. Data from registers concerning social status, birth complications, somatic illnesses and hospitalization are included in the database. Psychological and relational factors like emotional climate in the family, degree of stimulation and support in the home and attachment style are also investigated. DISCUSSION Data collection started January 1, 2013, and is successfully ongoing. By Aug 2015 424 families are included. About 20% of the invited families decline to participate, equal for all groups.
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Affiliation(s)
- Anne A. E. Thorup
- Mental Health Center Copenhagen, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark ,Child and Adolescent Mental Health Center, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark ,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Jens Richardt Jepsen
- Mental Health Center Copenhagen, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,Child and Adolescent Mental Health Center, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark. .,Center for Neuropsychiatric Schizophrenia Research, Psychiatric Center Glostrup, Mental Health Services Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark.
| | - Ditte Vestbjerg Ellersgaard
- Mental Health Center Copenhagen, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Birgitte Klee Burton
- Mental Health Center Copenhagen, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Camilla Jerlang Christiani
- Mental Health Center Copenhagen, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Nicoline Hemager
- Mental Health Center Copenhagen, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,Child and Adolescent Mental Health Center, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Mette Skjærbæk
- Mental Health Center Copenhagen, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Anne Ranning
- Mental Health Center Copenhagen, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Katrine Søborg Spang
- Child and Adolescent Mental Health Center, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Ditte Lou Gantriis
- Research Department P, Risskov, Aarhus University Hospital, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Aja Neergaard Greve
- Research Department P, Risskov, Aarhus University Hospital, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Kate Kold Zahle
- Research Department P, Risskov, Aarhus University Hospital, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Ole Mors
- Research Department P, Risskov, Aarhus University Hospital, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Kerstin Jessica Plessen
- Child and Adolescent Mental Health Center, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
| | - Merete Nordentoft
- Mental Health Center Copenhagen, Research Unit, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
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