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Çukurova M, Sancak B, Özdemir A. Investigation of Siblings of Patients Diagnosed with Substance-Induced Psychotic Disorder in terms of Cognitive Functions and Clinical High-Risk State for Psychosis. Psychopathology 2024:1-11. [PMID: 38885619 DOI: 10.1159/000538478] [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: 07/20/2023] [Accepted: 03/18/2024] [Indexed: 06/20/2024]
Abstract
OBJECTIVE This study aimed to investigate the influence of familial predisposition on substance-induced psychosis among healthy siblings of patients diagnosed with substance-induced psychotic disorder, who themselves lack any family history of psychotic disorders. Additionally, the study aimed to explore clinical high-risk states for psychosis, schizotypal features, and neurocognitive functions in comparison to a healthy control group. METHOD The study compared healthy siblings of 41 patients diagnosed with substance-induced psychotic disorder with 41 healthy volunteers without a family history of psychotic disorders, matching age, gender, and education. Sociodemographic and clinical characteristics of participants were obtained using data collection forms. The Comprehensive Assessment of At-Risk Mental States (CAARMS) and the Structured Interview for Schizotypy-Revised Form (SIS-R) scales were utilized to assess clinical high risk for psychosis. Neurocognitive functions were evaluated with digit span test (DST), trail making test part A-B (TMT), verbal fluency test (VFT), and Stroop test (ST). RESULTS Analysis using the CAARMS scale revealed that 39% of siblings and 7.3% of the control group were at clinically high risk for psychosis, indicating a significant difference in rates of psychotic vulnerability. Comparison between siblings and the control group showed significant differences in mean SIS-R subscale scores, including social behavior, hypersensitivity, referential thinking, suspiciousness, illusions, and overall oddness, as well as in mean neurocognitive function scores, including errors in TMT-A, TMT-B, and VFT out-of-category errors, with siblings exhibiting poorer performance. CONCLUSION Our study suggests that healthy siblings of patients with substance-induced psychosis exhibit more schizotypal features and have a higher risk of developing psychosis compared to healthy controls. Additionally, siblings demonstrate greater impairment in attention, response inhibition, and executive functions compared to healthy controls, indicating the potential role of genetic predisposition in the development of substance-induced psychotic disorder.
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Affiliation(s)
- Merve Çukurova
- Department of Psychiatry, Bakırköy Prof. Dr. Mazhar Osman Psychiatry, Neurology and Neurosurgery Training and Research Hospital, Istanbul, Turkey
| | - Barış Sancak
- Department of Psychiatry, Acıbadem Mehmet Ali Aydınlar University School of Medicine, Istanbul, Turkey
| | - Armağan Özdemir
- Department of Psychiatry, Bakırköy Prof. Dr. Mazhar Osman Psychiatry, Neurology and Neurosurgery Training and Research Hospital, Istanbul, Turkey
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Pergola G, Rampino A, Sportelli L, Borcuk CJ, Passiatore R, Di Carlo P, Marakhovskaia A, Fazio L, Amoroso N, Castro MN, Domenici E, Gennarelli M, Khlghatyan J, Kikidis GC, Lella A, Magri C, Monaco A, Papalino M, Parihar M, Popolizio T, Quarto T, Romano R, Torretta S, Valsecchi P, Zunuer H, Blasi G, Dukart J, Beaulieu JM, Bertolino A. A miR-137-Related Biological Pathway of Risk for Schizophrenia Is Associated With Human Brain Emotion Processing. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:356-366. [PMID: 38000716 DOI: 10.1016/j.bpsc.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/04/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND miR-137 is a microRNA involved in brain development, regulating neurogenesis and neuronal maturation. Genome-wide association studies have implicated miR-137 in schizophrenia risk but do not explain its involvement in brain function and underlying biology. Polygenic risk for schizophrenia mediated by miR-137 targets is associated with working memory, although other evidence points to emotion processing. We characterized the functional brain correlates of miR-137 target genes associated with schizophrenia while disentangling previously reported associations of miR-137 targets with working memory and emotion processing. METHODS Using RNA sequencing data from postmortem prefrontal cortex (N = 522), we identified a coexpression gene set enriched for miR-137 targets and schizophrenia risk genes. We validated the relationship of this set to miR-137 in vitro by manipulating miR-137 expression in neuroblastoma cells. We translated this gene set into polygenic scores of coexpression prediction and associated them with functional magnetic resonance imaging activation in healthy volunteers (n1 = 214; n2 = 136; n3 = 2075; n4 = 1800) and with short-term treatment response in patients with schizophrenia (N = 427). RESULTS In 4652 human participants, we found that 1) schizophrenia risk genes were coexpressed in a biologically validated set enriched for miR-137 targets; 2) increased expression of miR-137 target risk genes was mediated by low prefrontal miR-137 expression; 3) alleles that predict greater gene set coexpression were associated with greater prefrontal activation during emotion processing in 3 independent healthy cohorts (n1, n2, n3) in interaction with age (n4); and 4) these alleles predicted less improvement in negative symptoms following antipsychotic treatment in patients with schizophrenia. CONCLUSIONS The functional translation of miR-137 target gene expression linked with schizophrenia involves the neural substrates of emotion processing.
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Affiliation(s)
- Giulio Pergola
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Antonio Rampino
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Azienda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy.
| | - Leonardo Sportelli
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - Christopher James Borcuk
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - Roberta Passiatore
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Institute of Neuroscience and Medicine, Brain & Behaviour, Research Centre Jülich, Jülich, Germany
| | - Pasquale Di Carlo
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | | | - Leonardo Fazio
- Department of Medicine and Surgery, Libera Università Mediterranea Giuseppe Degennaro, Casamassima, Italy
| | - Nicola Amoroso
- Dipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari Aldo Moro, Bari, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
| | - Mariana Nair Castro
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Autónoma de Buenos Aires, Argentina (MNC); Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Fleni-Consejo Nacional de Investigaciones Científicas y Técnicas Neurosciences Institute, Ciudad Autónoma de Buenos Aires, Argentina
| | - Enrico Domenici
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy; Fondazione The Microsoft Research University of Trento, Centre for Computational and Systems Biology, Rovereto, Italy
| | - Massimo Gennarelli
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; Genetics Unit, Istituto di Ricovero e Cura a Carattere Sanitario Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Jivan Khlghatyan
- Azienda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy; Department of Neuroscience, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts
| | - Gianluca Christos Kikidis
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - Annalisa Lella
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Chiara Magri
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Alfonso Monaco
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy; Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Autónoma de Buenos Aires, Argentina (MNC); Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, Fleni-Consejo Nacional de Investigaciones Científicas y Técnicas Neurosciences Institute, Ciudad Autónoma de Buenos Aires, Argentina; Università degli Studi di Bari Aldo Moro, Dipartimento Interateneo di Fisica M. Merlin, Bari, Italy
| | - Marco Papalino
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Madhur Parihar
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - Teresa Popolizio
- Istituto di Ricovero e Cura a Carattere Sanitario Istituto Centro San Giovanni di Dio Fatebenefratelli, Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Tiziana Quarto
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Department of Law, University of Foggia, Foggia, Italy
| | - Raffaella Romano
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Silvia Torretta
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Paolo Valsecchi
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Mental Health and Addiction Services, Azienda Socio Sanitaria Territoriale Spedali Civili of Brescia, Brescia, Italy
| | - Hailiqiguli Zunuer
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Giuseppe Blasi
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Azienda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain & Behaviour, Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Alessandro Bertolino
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy; Azienda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy
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Voineskos AN, Hawco C, Neufeld NH, Turner JA, Ameis SH, Anticevic A, Buchanan RW, Cadenhead K, Dazzan P, Dickie EW, Gallucci J, Lahti AC, Malhotra AK, Öngür D, Lencz T, Sarpal DK, Oliver LD. Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions. World Psychiatry 2024; 23:26-51. [PMID: 38214624 PMCID: PMC10786022 DOI: 10.1002/wps.21159] [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: 01/13/2024] Open
Abstract
Functional neuroimaging emerged with great promise and has provided fundamental insights into the neurobiology of schizophrenia. However, it has faced challenges and criticisms, most notably a lack of clinical translation. This paper provides a comprehensive review and critical summary of the literature on functional neuroimaging, in particular functional magnetic resonance imaging (fMRI), in schizophrenia. We begin by reviewing research on fMRI biomarkers in schizophrenia and the clinical high risk phase through a historical lens, moving from case-control regional brain activation to global connectivity and advanced analytical approaches, and more recent machine learning algorithms to identify predictive neuroimaging features. Findings from fMRI studies of negative symptoms as well as of neurocognitive and social cognitive deficits are then reviewed. Functional neural markers of these symptoms and deficits may represent promising treatment targets in schizophrenia. Next, we summarize fMRI research related to antipsychotic medication, psychotherapy and psychosocial interventions, and neurostimulation, including treatment response and resistance, therapeutic mechanisms, and treatment targeting. We also review the utility of fMRI and data-driven approaches to dissect the heterogeneity of schizophrenia, moving beyond case-control comparisons, as well as methodological considerations and advances, including consortia and precision fMRI. Lastly, limitations and future directions of research in the field are discussed. Our comprehensive review suggests that, in order for fMRI to be clinically useful in the care of patients with schizophrenia, research should address potentially actionable clinical decisions that are routine in schizophrenia treatment, such as which antipsychotic should be prescribed or whether a given patient is likely to have persistent functional impairment. The potential clinical utility of fMRI is influenced by and must be weighed against cost and accessibility factors. Future evaluations of the utility of fMRI in prognostic and treatment response studies may consider including a health economics analysis.
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Affiliation(s)
- Aristotle N Voineskos
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Colin Hawco
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Nicholas H Neufeld
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jessica A Turner
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, Ohio State University, Columbus, OH, USA
| | - Stephanie H Ameis
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Cundill Centre for Child and Youth Depression and McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Alan Anticevic
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Robert W Buchanan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kristin Cadenhead
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Erin W Dickie
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Julia Gallucci
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Adrienne C Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Anil K Malhotra
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
| | - Dost Öngür
- McLean Hospital/Harvard Medical School, Belmont, MA, USA
| | - Todd Lencz
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
| | - Deepak K Sarpal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lindsay D Oliver
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
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Kohler CG, Wolf DH, Abi-Dargham A, Anticevic A, Cho YT, Fonteneau C, Gil R, Girgis RR, Gray DL, Grinband J, Javitch JA, Kantrowitz JT, Krystal JH, Lieberman JA, Murray JD, Ranganathan M, Santamauro N, Van Snellenberg JX, Tamayo Z, Gur RC, Gur RE, Calkins ME. Illness Phase as a Key Assessment and Intervention Window for Psychosis. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:340-350. [PMID: 37519466 PMCID: PMC10382701 DOI: 10.1016/j.bpsgos.2022.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 05/24/2022] [Accepted: 05/25/2022] [Indexed: 11/23/2022] Open
Abstract
The phenotype of schizophrenia, regardless of etiology, represents the most studied psychotic disorder with respect to neurobiology and distinct phases of illness. The early phase of illness represents a unique opportunity to provide effective and individualized interventions that can alter illness trajectories. Developmental age and illness stage, including temporal variation in neurobiology, can be targeted to develop phase-specific clinical assessment, biomarkers, and interventions. We review an earlier model whereby an initial glutamate signaling deficit progresses through different phases of allostatic adaptation, moving from potentially reversible functional abnormalities associated with early psychosis and working memory dysfunction, and ending with difficult-to-reverse structural changes after chronic illness. We integrate this model with evidence of dopaminergic abnormalities, including cortical D1 dysfunction, which develop during adolescence. We discuss how this model and a focus on a potential critical window of intervention in the early stages of schizophrenia impact the approach to research design and clinical care. This impact includes stage-specific considerations for symptom assessment as well as genetic, cognitive, and neurophysiological biomarkers. We examine how phase-specific biomarkers of illness phase and brain development can be incorporated into current strategies for large-scale research and clinical programs implementing coordinated specialty care. We highlight working memory and D1 dysfunction as early treatment targets that can substantially affect functional outcome.
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Affiliation(s)
- Christian G. Kohler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Daniel H. Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Anissa Abi-Dargham
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine, Stony Brook University, Stony Brook
| | - Alan Anticevic
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Youngsun T. Cho
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
- Child Study Center, Yale School of Medicine, New Haven, Connecticut
| | - Clara Fonteneau
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Roberto Gil
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine, Stony Brook University, Stony Brook
| | - Ragy R. Girgis
- Departments of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York
| | - David L. Gray
- Cerevel Therapeutics Research and Development, East Cambridge, Massachusetts
| | - Jack Grinband
- Departments of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York
| | - Jonathan A. Javitch
- Departments of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York
- Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University, New York
- Division of Molecular Therapeutics, New York State Psychiatric Institute, New York
| | - Joshua T. Kantrowitz
- Departments of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York
- New York State Psychiatric Institute, New York
- Nathan Kline Institute, Orangeburg, New York
| | - John H. Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Jeffrey A. Lieberman
- Departments of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York
| | - John D. Murray
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Mohini Ranganathan
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Nicole Santamauro
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Jared X. Van Snellenberg
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine, Stony Brook University, Stony Brook
| | - Zailyn Tamayo
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Ruben C. Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Raquel E. Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Monica E. Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Rubinstein DY, Eisenberg DP, Carver FW, Holroyd T, Apud JA, Coppola R, Berman KF. Spatiotemporal Alterations in Working Memory-Related Beta Band Neuromagnetic Activity of Patients With Schizophrenia On and Off Antipsychotic Medication: Investigation With MEG. Schizophr Bull 2023; 49:669-678. [PMID: 36772948 PMCID: PMC10154700 DOI: 10.1093/schbul/sbac178] [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: 02/12/2023]
Abstract
BACKGROUND AND HYPOTHESIS We used the uniquely high combined spatial and temporal resolution of magnetoencephalography to characterize working memory (WM)-related modulation of beta band activity in neuroleptic-free patients with schizophrenia in comparison to a large sample of performance-matched healthy controls. We also tested for effects of antipsychotic medication on identified differences in these same patients. STUDY DESIGN Inpatients with schizophrenia (n = 21) or psychotic disorder not otherwise specified (n = 4) completed N-back and control tasks during magnetoencephalography while on placebo and during antipsychotic medication treatment, in a blinded, randomized, counterbalanced manner. Healthy, performance-matched controls (N = 100) completed the same tasks. WM-related neural activation was estimated as beta band (14-30 Hz) desynchronization throughout the brain in successive 400 ms time windows. Voxel-wise statistical comparisons were performed between controls and patients while off-medication at each time window. Significant clusters resulting from this between-groups analysis were then used as regions-of-interest, the activations of which were compared between on- and off-medication conditions in patients. STUDY RESULTS Controls showed beta-band desynchronization (activation) of a fronto-parietal network immediately preceding correct button press responses-the time associated with WM updating and task execution. Altered activation in medication-free patients occurred largely during this time, in prefrontal, parietal, and visual cortices. Medication altered patients' neural responses such that the activation time courses in these regions-of-interest more closely resembled those of controls. CONCLUSIONS These findings demonstrate that WM-related beta band alterations in schizophrenia are time-specific and associated with neural systems targeted by antipsychotic medications. Future studies may investigate this association by examining its potential neurochemical basis.
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Affiliation(s)
- Daniel Y Rubinstein
- Section on Integrative Neuroimaging, National Institute of Mental Health, Intramural Research Program, NIH, DHHS, Bethesda, MD, USA
- Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, NIH, DHHS, Bethesda, MD, USA
| | - Daniel P Eisenberg
- Section on Integrative Neuroimaging, National Institute of Mental Health, Intramural Research Program, NIH, DHHS, Bethesda, MD, USA
- Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, NIH, DHHS, Bethesda, MD, USA
| | | | - Tom Holroyd
- MEG Core Facility, NIH, DHHS, Bethesda, MD, USA
| | - Jose A Apud
- Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, NIH, DHHS, Bethesda, MD, USA
| | - Richard Coppola
- Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, NIH, DHHS, Bethesda, MD, USA
- MEG Core Facility, NIH, DHHS, Bethesda, MD, USA
| | - Karen F Berman
- Section on Integrative Neuroimaging, National Institute of Mental Health, Intramural Research Program, NIH, DHHS, Bethesda, MD, USA
- Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, NIH, DHHS, Bethesda, MD, USA
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6
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Patel SP, Landau E, Martin GE, Rayburn C, Elahi S, Fragnito G, Losh M. A profile of prosodic speech differences in individuals with autism spectrum disorder and first-degree relatives. JOURNAL OF COMMUNICATION DISORDERS 2023; 102:106313. [PMID: 36804204 PMCID: PMC10395513 DOI: 10.1016/j.jcomdis.2023.106313] [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] [Received: 02/23/2022] [Revised: 02/04/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Impairments in prosody (e.g., intonation, stress) are among the most notable communication characteristics of individuals with autism spectrum disorder (ASD) and can significantly impact communicative interactions. Evidence suggests that differences in prosody may be evident among first-degree relatives of autistic individuals, indicating that genetic liability to ASD is expressed through prosodic variation, along with subclinical traits referred to as the broad autism phenotype (BAP). This study aimed to further characterize prosodic profiles associated with ASD and the BAP to better understand the clinical and etiologic significance of prosodic differences. METHOD Autistic individuals, their parents, and respective control groups completed the Profiling Elements of Prosody in Speech-Communication (PEPS-C), an assessment of receptive and expressive prosody. Responses to expressive subtests were further examined using acoustic analyses. Relationships between PEPS-C performance, acoustic measurements, and pragmatic language ability in conversation were assessed to understand how differences in prosody might contribute to broader ASD-related pragmatic profiles. RESULTS In ASD, receptive prosody deficits were observed in contrastive stress. With regard to expressive prosody, both the ASD and ASD Parent groups exhibited reduced accuracy in imitation, lexical stress, and contrastive stress expression compared to respective control groups, though no acoustic differences were noted. In ASD and Control groups, lower accuracy across several PEPS-C subtests and acoustic measurements related to increased pragmatic language violations. In parents, acoustic measurements were tied to broader pragmatic language and personality traits of the BAP. CONCLUSION Overlapping areas of expressive prosody differences were identified in ASD and parents, providing evidence that prosody is an important language-related ability that may be impacted by genetic risk of ASD.
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Affiliation(s)
- Shivani P Patel
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, 2240 N Campus Dr, Evanston, IL 60208, USA
| | - Emily Landau
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, 2240 N Campus Dr, Evanston, IL 60208, USA
| | - Gary E Martin
- Department of Communication Sciences and Disorders, St. John's University, Staten Island, New York, USA
| | - Claire Rayburn
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, 2240 N Campus Dr, Evanston, IL 60208, USA
| | - Saadia Elahi
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, 2240 N Campus Dr, Evanston, IL 60208, USA
| | - Gabrielle Fragnito
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, 2240 N Campus Dr, Evanston, IL 60208, USA
| | - Molly Losh
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, 2240 N Campus Dr, Evanston, IL 60208, USA.
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7
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Fiorito AM, Aleman A, Blasi G, Bourque J, Cao H, Chan RCK, Chowdury A, Conrod P, Diwadkar VA, Goghari VM, Guinjoan S, Gur RE, Gur RC, Kwon JS, Lieslehto J, Lukow PB, Meyer-Lindenberg A, Modinos G, Quarto T, Spilka MJ, Shivakumar V, Venkatasubramanian G, Villarreal M, Wang Y, Wolf DH, Yun JY, Fakra E, Sescousse G. Are Brain Responses to Emotion a Reliable Endophenotype of Schizophrenia? An Image-Based Functional Magnetic Resonance Imaging Meta-analysis. Biol Psychiatry 2023; 93:167-177. [PMID: 36085080 DOI: 10.1016/j.biopsych.2022.06.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 06/07/2022] [Accepted: 06/07/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Impaired emotion processing constitutes a key dimension of schizophrenia and a possible endophenotype of this illness. Empirical studies consistently report poorer emotion recognition performance in patients with schizophrenia as well as in individuals at enhanced risk of schizophrenia. Functional magnetic resonance imaging studies also report consistent patterns of abnormal brain activation in response to emotional stimuli in patients, in particular, decreased amygdala activation. In contrast, brain-level abnormalities in at-risk individuals are more elusive. We address this gap using an image-based meta-analysis of the functional magnetic resonance imaging literature. METHODS Functional magnetic resonance imaging studies investigating brain responses to negative emotional stimuli and reporting a comparison between at-risk individuals and healthy control subjects were identified. Frequentist and Bayesian voxelwise meta-analyses were performed separately, by implementing a random-effect model with unthresholded group-level T-maps from individual studies as input. RESULTS In total, 17 studies with a cumulative total of 677 at-risk individuals and 805 healthy control subjects were included. Frequentist analyses did not reveal significant differences between at-risk individuals and healthy control subjects. Similar results were observed with Bayesian analyses, which provided strong evidence for the absence of meaningful brain activation differences across the entire brain. Region of interest analyses specifically focusing on the amygdala confirmed the lack of group differences in this region. CONCLUSIONS These results suggest that brain activation patterns in response to emotional stimuli are unlikely to constitute a reliable endophenotype of schizophrenia. We suggest that future studies instead focus on impaired functional connectivity as an alternative and promising endophenotype.
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Affiliation(s)
- Anna M Fiorito
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR 5292, PSYR2 Team, University of Lyon, Lyon, France; Department of Psychiatry, University Hospital of Saint-Etienne, Saint-Etienne, France.
| | - André Aleman
- University of Groningen, University Medical Center Groningen, Department of Biomedical Sciences of Cells & Systems, Groningen, The Netherlands
| | - Giuseppe Blasi
- Group of Psychiatric Neuroscience, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Josiane Bourque
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hengyi Cao
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Chinese Academy of Sciences Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
| | - Asadur Chowdury
- Department of Psychiatry & Behavioral Neurosciences, Wayne State University, Detroit, Michigan
| | - Patricia Conrod
- CHU Sainte-Justine Research Center, Department of Psychiatry and Addiction, University of Montréal, Montreal, Quebec, Canada
| | - Vaibhav A Diwadkar
- Department of Psychiatry & Behavioral Neurosciences, Wayne State University, Detroit, Michigan
| | - Vina M Goghari
- Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada
| | | | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Johannes Lieslehto
- University of Eastern Finland, Department of Forensic Psychiatry, Niuvanniemi Hospital, Kuopio, Finland
| | - Paulina B Lukow
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Andreas Meyer-Lindenberg
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Gemma Modinos
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | | | - Michael J Spilka
- Department of Psychology, University of Georgia, Athens, Georgia
| | - Venkataram Shivakumar
- Department of Integrative Medicine, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | | | - Mirta Villarreal
- Instituto de Neurociencias FLENI-CONICET, Facultad de Ciencias Exactas y Naturales, UBA, Buenos Aires, Argentina
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Chinese Academy of Sciences Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Je-Yeon Yun
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Eric Fakra
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR 5292, PSYR2 Team, University of Lyon, Lyon, France; Department of Psychiatry, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Guillaume Sescousse
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR 5292, PSYR2 Team, University of Lyon, Lyon, France; Centre Hospitalier Le Vinatier, Bron, France
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Visual masking deficits in schizophrenia: a view into the genetics of the disease through an endophenotype. Transl Psychiatry 2022; 12:529. [PMID: 36585402 PMCID: PMC9803632 DOI: 10.1038/s41398-022-02275-4] [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: 11/13/2020] [Revised: 08/26/2022] [Accepted: 11/29/2022] [Indexed: 01/01/2023] Open
Abstract
Schizophrenia is a severe psychiatric disorder determined by a complex mixture of genetic and environmental factors. To better understand the contributions of human genetic variations to schizophrenia, we performed a genome-wide association study (GWAS) of a highly sensitive endophenotype. In this visual masking endophenotype, two vertical bars, slightly shifted in the horizontal direction, are briefly presented (vernier offset). Participants are asked to indicate the offset direction of the bars (either left or right). The bars are followed by a grating mask, which makes the task both spatially and temporally challenging. The inter-stimulus interval (ISI) between the vernier and the mask was determined in 206 patients with schizophrenia, 109 first-order relatives, and 143 controls. Usually, in GWAS studies, patients are compared to controls (i.e., a binary task) without considering the large differences in performance between patients and controls, as it occurs in many paradigms. The masking task allows for a particularly powerful analysis because the differences in ISI within the patient population are large. We genotyped all participants and searched for associations between human polymorphisms and the masking endophenotype using a linear mixed model. We did not identify any genome-wide significant associations (p < 5 × 10-8), indicating that common variants with strong effects are unlikely to contribute to the large inter-group differences in visual masking. However, we found significant differences in polygenetic risk scores (PRS) between patients and controls, and relatives and controls.
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9
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Yazkan-Akgül G, Perdahlı-Fiş N. Are neurocognitive abilities and social cognition related to social and role functioning in familial high risk group for psychosis? Early Interv Psychiatry 2022; 16:1335-1344. [PMID: 35150074 DOI: 10.1111/eip.13279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 12/14/2021] [Accepted: 01/18/2022] [Indexed: 01/15/2023]
Abstract
AIMS In this study, we aimed to compare neurocognitive abilities and social cognitive features among adolescent offspring of psychotic individuals and healthy controls. METHODS The study sample was composed of offspring of patients with psychotic disorders (n = 30), the high risk group (HR), and age and sex matched healthy controls (n = 32) the Control Group (CG). The psychiatric diagnoses were established by using the KD-SADS. Strengths and Difficulties Questionnaire adolescent and parent forms (SDQ-A, SDQ-P) were used. General functioning status were evaluated by The Children's Global Assessment Scale (CGAS) and Global Functioning Scale: Social and Role Functioning. Wisconsin Cart Sorting Test, Controlled Oral Word Association Test, California Verbal Learning Test, Stroop Colour and Word Test and Trail Making Tests A and B were used to assess neurocognitive abilities; to assess social cognition and empathy skills DANVA-2 and Bryant Empathy Scale were used, respectively. RESULTS Among HR 53.33% had at least one psychopathology. SDQ-A, SDQ-P scores were significantly higher, and CGAS, social and role functioning scores were significantly lower in HR. Neurocognitive test scores were significantly worse except for SCWT scores in the HR. No significant differences were obtained in social cognition. A variety of the neurocognitive abilities were significantly correlated with the role functioning. In regression analyses, the most predictive scores were WCST total correct scores and role functioning score. CONCLUSIONS HR group showed more impairments in neurocognition, social, role and overall functioning, whereas there was no significant difference in terms of social cognition. Disturbances in neurocognition were correlated with impairments in role functioning.
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Affiliation(s)
- Gözde Yazkan-Akgül
- Child and Adolescent Psychiatry Department, Tekirdağ Namık Kemal University School of Medicine, Tekirdağ, Turkey
| | - Neşe Perdahlı-Fiş
- Child and Adolescent Psychiatry Department, Marmara University School of Medicine, İstanbul, Turkey
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10
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Ma H, Qiu R, Zhang W, Chen X, Zhang L, Wang M. Association of PPP1R1B polymorphisms with working memory in healthy Han Chinese adults. Front Neurosci 2022; 16:989046. [PMID: 36440265 PMCID: PMC9685989 DOI: 10.3389/fnins.2022.989046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/10/2022] [Indexed: 11/11/2022] Open
Abstract
Aims The dopamine- and cAMP-regulated phosphoprotein (DARPP-32), which is encoded by the PPP1R1B gene, plays a converging regulatory role in the central nervous system by mediating the actions of dopamine, serotonin, and glutamate. Previous studies have demonstrated that variations in genes related to the dopamine system influence working memory. The present study thus investigated whether polymorphisms in PPP1R1B gene were associated with working memory. Materials and methods A sample of 124 healthy Han Chinese were genotyped for three single nucleotide polymorphisms of PPP1R1B gene, namely rs12601930C/T, rs879606A/G, and rs3764352A/G, using polymerase chain reaction and restriction fragment length polymorphism analysis. Working memory performance was assessed using the Wisconsin Card Sorting Test (WCST). Results Significant differences were observed in the Total Correct (TC), Total Errors (TE), and Conceptual Level Responses (CLR) scores of the WCST among the three rs12601930C/T genotypes (p = 0.044, 0.044, and 0.047, respectively); in TC, TE, Non-Perseverative Errors (NPE), and CLR scores between participants with the CC and (CT + TT) rs12601930C/T polymorphism genotypes (p = 0.032, 0.032, 0.019, and 0.029, respectively); in TC, TE, Perseverative Errors (PE), NPE, and CLR scores between participants with the (CT + CC) and TT rs12601930C/T polymorphism genotypes (p = 0.001, 0.001, 0.011, 0.004, and 0.001, respectively); and in NPE and CLR scores between participants with the GG and (AG + AA) genotypes of the rs3764352A/G polymorphism (p = 0.011 and 0.010). Furthermore, for males only, there were significant differences in TC, TE, PE, NPE, and CLR scores among the rs12601930C/T genotypes (p = 0.020, 0.020, 0.037, 0.029, and 0.014, respectively) and NPE and CLR scores among the rs3764352 genotypes (p = 0.045 and 0.042). Conclusion PPP1R1B gene polymorphisms rs12601930C/T and rs3764352A/G might be associated with working memory assessed by the WCST in healthy Chinese adults, especially among males.
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Affiliation(s)
- Hui Ma
- Hainan Provincial Institute of Mental Health, Hainan Provincial Anning Hospital, Haikou, Hainan, China
| | - Riyang Qiu
- Department of Precision Therapy, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
- Department of Precision Therapy, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Wenya Zhang
- Department of Precision Therapy, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
- Department of Precision Therapy, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Xiaohong Chen
- Department of Precision Therapy, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
- Department of Precision Therapy, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Liguo Zhang
- Department of Psychiatry, The Third Hospital of Heilongjiang Province, Bei’an, Heilongjiang, China
| | - Man Wang
- Department of Precision Therapy, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
- Department of Precision Therapy, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
- *Correspondence: Man Wang,
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11
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Zhou H, Wang D, Cao B, Zhang X. Association of reduced cortical thickness and psychopathological symptoms in patients with first-episode drug-naïve schizophrenia. Int J Psychiatry Clin Pract 2022; 27:42-50. [PMID: 36193901 DOI: 10.1080/13651501.2022.2129067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/10/2022]
Abstract
OBJECTIVE There is growing evidence that reduced cortical thickness has been considered to be a central abnormality in schizophrenia. Brain imaging studies have demonstrated that the cerebral cortex becomes thinner in patients with first-episode schizophrenia. This study aimed to examine whether cortical thickness is altered in drug-naïve schizophrenia in a Chinese Han population and the relationship between cortical thickness and clinical symptoms. METHODS We compared cortical thickness in 41 schizophrenia patients and 30 healthy controls. Psychopathology of patients with schizophrenia was assessed using the Positive and Negative Syndrome Scale (PANSS). RESULTS The cortical thickness of left banks of superior temporal sulcus, left lateral occipital gyrus, left rostral middle frontal gyrus, right inferior parietal lobule and right lateral occipital gyrus in schizophrenia patients was generally thinner compared with healthy controls. Correlation analysis revealed a negative correlation between cortical thickness of the left banks of superior temporal sulcus and general psychopathology of PANSS. CONCLUSIONS Our results suggest that cortical thickness abnormalities are already present early in the onset of schizophrenia and are associated with psychopathological symptoms, suggesting that it plays an important role in the pathogenesis and symptomatology of schizophrenia.Key points(1) The first-episode drug-naïve schizophrenia had reduced cortical thickness than the controls.(2) Cortical thickness was associated with psychopathological symptoms in patients with schizophrenia.
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Affiliation(s)
- Huixia Zhou
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Dongmei Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.,Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
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12
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Patel SP, Cole J, Lau JCY, Fragnito G, Losh M. Verbal entrainment in autism spectrum disorder and first-degree relatives. Sci Rep 2022; 12:11496. [PMID: 35798758 PMCID: PMC9262979 DOI: 10.1038/s41598-022-12945-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 05/19/2022] [Indexed: 11/09/2022] Open
Abstract
Entrainment, the unconscious process leading to coordination between communication partners, is an important dynamic human behavior that helps us connect with one another. Difficulty developing and sustaining social connections is a hallmark of autism spectrum disorder (ASD). Subtle differences in social behaviors have also been noted in first-degree relatives of autistic individuals and may express underlying genetic liability to ASD. In-depth examination of verbal entrainment was conducted to examine disruptions to entrainment as a contributing factor to the language phenotype in ASD. Results revealed distinct patterns of prosodic and lexical entrainment in individuals with ASD. Notably, subtler entrainment differences in prosodic and syntactic entrainment were identified in parents of autistic individuals. Findings point towards entrainment, particularly prosodic entrainment, as a key process linked to social communication difficulties in ASD and reflective of genetic liability to ASD.
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Affiliation(s)
- Shivani P Patel
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA
| | - Jennifer Cole
- Department of Linguistics, Northwestern University, Evanston, IL, USA
| | - Joseph C Y Lau
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA
| | - Gabrielle Fragnito
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA
| | - Molly Losh
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.
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13
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Kaya H, Ayık B, Tasdelen R, Sevimli N, Ertekin E. Comparing retinal changes measured by optical coherence tomography in patients with schizophrenia and their siblings with healthy controls: Are retinal findings potential endophenotype candidates? Asian J Psychiatr 2022; 72:103089. [PMID: 35397439 DOI: 10.1016/j.ajp.2022.103089] [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: 12/09/2021] [Revised: 02/01/2022] [Accepted: 03/22/2022] [Indexed: 11/02/2022]
Abstract
AIM The aim of our study is to examine whether differences in retinal structure may reflect endophenotypes for schizophrenia by comparing thicknesses of retinal layers between patients with schizophrenia, their unaffected siblings, and healthy control groups and investigating the relationship between OCT findings and disease parameters. MATERIAL AND METHODS 46 patients with schizophrenia, their 46 healthy siblings, and 46 age and gender-matched healthy controls were enrolled in the study and underwent spectral domain OCT (examinations to assess differences in peripapillary retinal nerve fiber layer (RNFL) thickness, ganglion cell layer (GCL)+ inner plexiform layer (IPL) thicknesses and macular volumes (MV) in both eyes). Clinical variables were also recorded in the patient group. RESULTS There was no difference between the groups in terms of RNFL thicknesses. The GCL+IPL thicknesses of the siblings are between the patients and controls but according to post hoc comparisons the GCL+IPLs of the patients were only thinner than controls. Additionally, MVs were significantly lower in the patient group compared to the sibling group. There was no correlation between any clinical parameters and the GCL+IPLs of all groups, however there were some correlations between RNFL and clinical features especially in the patients group. CONCLUSION GCL+IPL values do not seem to be affected by the disease parameters or the factors like body mass index or nicotine use. On the other hand, further studies are needed to determine whether GCL+IPL could be an endophenotype candidate.
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Affiliation(s)
- Hatice Kaya
- Department of Psychiatry, Istanbul Sultanbeyli State Hospital, Sultanbeyli Community Mental Health Center, Sultanbeyli, Istanbul, Turkey.
| | - Batuhan Ayık
- Department of Psychiatry, Istanbul Erenkoy Education and Research Hospital, Sancaktepe Community Mental Health Center, Erenkoy, Istanbul, Turkey
| | - Rumeysa Tasdelen
- Department of Psychiatry, Marmara University Istanbul Pendik Education and Research Hospital, Pendik, Istanbul, Turkey
| | - Neslihan Sevimli
- Department of Ophthalmology, Istanbul Sultanbeyli State Hospital, Sultanbeyli, Istanbul, Turkey
| | - Erhan Ertekin
- Department of Psychiatry, Istanbul University, Istanbul Faculty of Medicine, Fatih, Istanbul, Turkey
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14
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Alkan E, Evans SL. Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes. NPJ SCHIZOPHRENIA 2022; 8:50. [PMID: 35853888 PMCID: PMC9261107 DOI: 10.1038/s41537-022-00242-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 02/23/2022] [Indexed: 11/09/2022]
Abstract
AbstractSchizophrenia patients (SZH) often show impaired cognition and reduced brain structural volumes; these deficits are also detectable in healthy relatives of SZH. However, there is considerable heterogeneity: a sizable percentage of SZH are relatively cognitively intact; clustering strategies have proved useful for categorising into cognitive subgroups. We used a clustering strategy to investigate relationships between subgroup assignment and brain volumes, in 102 SZH (N = 102) and 32 siblings of SZH (SZH-SIB), alongside 92 controls (CON) and 48 of their siblings. SZH had poorer performance in all cognitive domains, and smaller brain volumes within prefrontal and temporal regions compared to controls. We identified three distinct cognitive clusters (‘neuropsychologically normal’, ‘intermediate’, ‘cognitively impaired’) based on age- and gender-adjusted cognitive domain scores. The majority of SZH (60.8%) were assigned to the cognitively impaired cluster, while the majority of SZH-SIB (65.6%) were placed in the intermediate cluster. Greater right middle temporal volume distinguished the normal cluster from the more impaired clusters. Importantly, the observed brain volume differences between SZH and controls disappeared after adjustment for cluster assignment. This suggests an intimate link between cognitive performance levels and regional brain volume differences in SZH. This highlights the importance of accounting for heterogeneity in cognitive performance within SZH populations when attempting to characterise the brain structural abnormalities associated with the disease.
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15
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Lemvigh CK, Brouwer RM, Pantelis C, Jensen MH, Hilker RW, Legind CS, Anhøj SJ, Robbins TW, Sahakian BJ, Glenthøj BY, Fagerlund B. Heritability of specific cognitive functions and associations with schizophrenia spectrum disorders using CANTAB: a nation-wide twin study. Psychol Med 2022; 52:1101-1114. [PMID: 32779562 DOI: 10.1017/s0033291720002858] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Many cognitive functions are under strong genetic control and twin studies have demonstrated genetic overlap between some aspects of cognition and schizophrenia. How the genetic relationship between specific cognitive functions and schizophrenia is influenced by IQ is currently unknown. METHODS We applied selected tests from the Cambridge Neuropsychological Test Automated Battery (CANTAB) to examine the heritability of specific cognitive functions and associations with schizophrenia liability. Verbal and performance IQ were estimated using The Wechsler Adult Intelligence Scale-III and the Danish Adult Reading Test. In total, 214 twins including monozygotic (MZ = 32) and dizygotic (DZ = 22) pairs concordant or discordant for a schizophrenia spectrum disorder, and healthy control pairs (MZ = 29, DZ = 20) were recruited through the Danish national registers. Additionally, eight twins from affected pairs participated without their sibling. RESULTS Significant heritability was observed for planning/spatial span (h2 = 25%), self-ordered spatial working memory (h2 = 64%), sustained attention (h2 = 56%), and movement time (h2 = 47%), whereas only unique environmental factors contributed to set-shifting, reflection impulsivity, and thinking time. Schizophrenia liability was associated with planning/spatial span (rph = -0.34), self-ordered spatial working memory (rph = -0.24), sustained attention (rph = -0.23), and set-shifting (rph = -0.21). The association with planning/spatial span was not driven by either performance or verbal IQ. The remaining associations were shared with performance, but not verbal IQ. CONCLUSIONS This study provides further evidence that some cognitive functions are heritable and associated with schizophrenia, suggesting a partially shared genetic etiology. These functions may constitute endophenotypes for the disorder and provide a basis to explore genes common to cognition and schizophrenia.
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Affiliation(s)
- Cecilie K Lemvigh
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rachel M Brouwer
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Christos Pantelis
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - Maria H Jensen
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark
- Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark
| | - Rikke W Hilker
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian S Legind
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark
- Mental Health Center North Zealand, Hilleroed, Denmark
| | - Simon J Anhøj
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark
- Department of Psychiatry Svendborg, Baagoes Alle 25, 5700 Svendborg, Denmark
| | - Trevor W Robbins
- Department of Psychology, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Barbara J Sahakian
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Birte Y Glenthøj
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Birgitte Fagerlund
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
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16
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Rambeau S, Del Goleto S, Pignon B, Lajnef M, Petrucci J, Szöke A, Fond G, Lançon C, Dorey JM, Rey R, Garbisson A, Capdevielle D, Leignier S, Dubreucq J, Mallet J, Dubertret C, Urbach M, Brunet-Gouet E, Aouizerate B, Misdrahi D, Zinetti-Bertschy A, Clauss J, Llorca PM, Chereau I, Leboyer M, Roux P, Schürhoff F. Relationship between neurocognition and theory of mind as a function of symptomatic profile in schizophrenia: results from the national FACE-SZ cohort. Cogn Neuropsychiatry 2022; 27:49-68. [PMID: 34882065 DOI: 10.1080/13546805.2021.2011184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Deficits in theory of mind (ToM) can vary depending on the predominant schizophrenia symptoms, and though most neurocognitive functions are involved in ToM, all may not be associated with the same symptoms. With consideration to the relationships between symptoms, neurocognition and ToM, the aim of the present study is to identify the neurocognitive functions influencing ToM capacities according to symptomatic profile. METHODS The study is based on a sample of 124 adults with schizophrenia from a French national cohort. Patients were divided into two groups according to their scores on the five Wallwork factors of the Positive and Negative Syndrome Scale using hierarchical clustering before carrying out multivariable analyses. RESULTS The "disorganised group" (n = 89) showed high scores on the disorganised factor, and had a ToM associated with reasoning, visual recognition and speed of processing. The "positive group" (n = 35) showed high scores on the positive and depressive factors, and had a ToM associated with working memory. CONCLUSIONS These results suggest that neurocognitive predictors of ToM in schizophrenia are different according to the predominant clinical dimension, thus refining our knowledge of the relationship between symptoms, neurocognition and ToM, and acknowledging their status as important predictors of patients' functional status.
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Affiliation(s)
- Sébastien Rambeau
- Université Paris Est Créteil (UPEC), AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, INSERM, IMRB, Neuropsychiatrie translationnelle, Fondation FondaMental, Créteil, France
| | - Sarah Del Goleto
- Université Paris Est Créteil (UPEC), AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, INSERM, IMRB, Neuropsychiatrie translationnelle, Fondation FondaMental, Créteil, France
| | - Baptiste Pignon
- Université Paris Est Créteil (UPEC), AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, INSERM, IMRB, Neuropsychiatrie translationnelle, Fondation FondaMental, Créteil, France
| | - Mohamed Lajnef
- Université Paris Est Créteil (UPEC), AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, INSERM, IMRB, Neuropsychiatrie translationnelle, Fondation FondaMental, Créteil, France
| | - Jean Petrucci
- Université Paris Est Créteil (UPEC), AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, INSERM, IMRB, Neuropsychiatrie translationnelle, Fondation FondaMental, Créteil, France
| | - Andreï Szöke
- Université Paris Est Créteil (UPEC), AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, INSERM, IMRB, Neuropsychiatrie translationnelle, Fondation FondaMental, Créteil, France
| | - Guillaume Fond
- AP-HM, Université Aix-Marseille, Ecole de médecine - La Timone Medical Campus, EA 3279: CEReSS - Centre d'Études et de Recherche sur les Services de Santé et la Qualité de Vie, Marseille, France
| | - Christophe Lançon
- AP-HM, Université Aix-Marseille, Ecole de médecine - La Timone Medical Campus, EA 3279: CEReSS - Centre d'Études et de Recherche sur les Services de Santé et la Qualité de Vie, Marseille, France
| | - Jean-Michel Dorey
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, Pole Est, Bron Cedex, France
| | - Romain Rey
- INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, Pole Est, Bron Cedex, France
| | - Amandine Garbisson
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Delphine Capdevielle
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Sylvain Leignier
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Julien Dubreucq
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), CH Alpes Isère, France
| | - Jasmina Mallet
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie. Hôpital Louis Mourier, Colombes, France.,Université de Paris, INSERM UMR1266, Institut de Psychiatrie et Neurosciences de Paris, Paris, France
| | - Caroline Dubertret
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, service de Psychiatrie et Addictologie. Hôpital Louis Mourier, Colombes, France.,Université de Paris, INSERM UMR1266, Institut de Psychiatrie et Neurosciences de Paris, Paris, France
| | - Mathieu Urbach
- Service Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, Le Chesnay, France.,DisAP-DevPsy-CESP, INSERM UMR1018, Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, Villejuif, France
| | - Eric Brunet-Gouet
- Service Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, Le Chesnay, France.,DisAP-DevPsy-CESP, INSERM UMR1018, Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, Villejuif, France
| | - Bruno Aouizerate
- Centre Hospitalier Charles Perrens, Université de Bordeaux, Bordeaux, France.,INRA, NutriNeuro, Université de Bordeaux, U1286, Bordeaux, France
| | - David Misdrahi
- Centre Hospitalier Charles Perrens, Université de Bordeaux, Bordeaux, France.,INRA, NutriNeuro, Université de Bordeaux, U1286, Bordeaux, France
| | - Anna Zinetti-Bertschy
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Julie Clauss
- Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Pierre-Michel Llorca
- CHU Clermont-Ferrand, Département de Psychiatrie, Université de Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Isabelle Chereau
- CHU Clermont-Ferrand, Département de Psychiatrie, Université de Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | | | - Marion Leboyer
- Université Paris Est Créteil (UPEC), AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, INSERM, IMRB, Neuropsychiatrie translationnelle, Fondation FondaMental, Créteil, France
| | - Paul Roux
- Service Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, Le Chesnay, France.,DisAP-DevPsy-CESP, INSERM UMR1018, Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, Villejuif, France
| | - Franck Schürhoff
- Université Paris Est Créteil (UPEC), AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, INSERM, IMRB, Neuropsychiatrie translationnelle, Fondation FondaMental, Créteil, France
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17
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Zhuo C, Liu W, Jiang R, Li R, Yu H, Chen G, Shan J, Zhu J, Cai Z, Lin C, Cheng L, Xu Y, Liu S, Luo Q, Jin S, Liu C, Chen J, Wang L, Yang L, Zhang Q, Li Q, Tian H, Song X. Metabolic risk factors of cognitive impairment in young women with major psychiatric disorder. Front Psychiatry 2022; 13:880031. [PMID: 35966480 PMCID: PMC9373724 DOI: 10.3389/fpsyt.2022.880031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/29/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Cognitive performance improves clinical outcomes of patients with major psychiatric disorder (MPD), but is impaired by hyperglycemia. Psychotropic agents often induce metabolism syndrome (MetS). The identification of modifiable metabolic risk factors of cognitive impairment may enable targeted improvements of patient care. OBJECTIVE To investigate the relationship between MetS and cognitive impairment in young women with MPD, and to explore risk factors. METHODS We retrospectively studied women of 18-34 years of age receiving psychotropic medications for first-onset schizophrenia (SCH), bipolar disorder (BP), or major depressive disorder (MDD). Data were obtained at four time points: presentation but before psychotropic medication; 4-8 and 8-12 weeks of psychotropic therapy; and enrollment. MATRICS Consensus Cognitive Battery, (MCCB)-based Global Deficit Scores were used to assess cognitive impairment. Multiple logistic analysis was used to calculate risk factors. Multivariate models were used to investigate factors associated with cognitive impairment. RESULTS We evaluated 2,864 participants. Cognitive impairment was observed in 61.94% of study participants, and was most prevalent among patients with BP (69.38%). HbA1c within the 8-12 week-treatment interval was the most significant risk factor and highest in BP. Factors in SCH included pre-treatment waist circumference and elevated triglycerides during the 8-12 weeks treatment interval. Cumulative dosages of antipsychotics, antidepressants, and valproate were associated with cognitive impairment in all MPD subgroups, although lithium demonstrated a protect effect (all P < 0.001). CONCLUSIONS Cognitive impairment was associated with elevated HbA1c and cumulative medication dosages. Pre-treatment waist circumference and triglyceride level at 8-12 weeks were risk factors in SCH. Monitoring these indices may inform treatment revisions to improve clinical outcomes.
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Affiliation(s)
- Chuanjun Zhuo
- Department of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China.,Department of Psychiatry, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Psychiatric Transformational Research Key Laboratory, Zhengzhou University, Zhengzhou, China.,Multiple Organs Damage in the Mental Disorder (MODMD) Center of Wenzhou Seventh Hospital, Wenzhou, China.,Department of Psychiatry, Tianjin Anding Hospital, Tianjin, China
| | - Wei Liu
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ronghuan Jiang
- Department of Psychiatry, General Hospital of PLA, Beijing, China
| | - Ranli Li
- Key Laboratory of Psychiatric-Neuroimaging-Genetic and Cor-morbidity, Tianjin Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Haiping Yu
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Guangdong Chen
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jianmin Shan
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jingjing Zhu
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Ziyao Cai
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chongguang Lin
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Langlang Cheng
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Qinghua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shili Jin
- Inpatient Department, Shandong Daizhuang Hospital, Jining, China
| | - Chuanxin Liu
- Inpatient Department, Shandong Daizhuang Hospital, Jining, China
| | - Jiayue Chen
- Department of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China
| | - Lina Wang
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin, China
| | - Lei Yang
- Department of Psychiatry, Yanan Fifth Hospital, Yan'An, China
| | - Qiuyu Zhang
- Department of Psychiatry, Tianjin Anning Hospital, Tianjin, China
| | - Qianchen Li
- Department of Psychiatry, Hebei Fifth Peoples Hospital, Shijiazhuang, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damage in Patients With Mental Disorder, Tianjin Fourth Center Hospital of Tianjin Medical University, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Psychiatric Transformational Research Key Laboratory, Zhengzhou University, Zhengzhou, China
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18
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Hills PJ, Vasilev MR, Ford P, Snell L, Whitworth E, Parsons T, Morisson R, Silveira A, Angele B. Sensory gating is related to positive and disorganised schizotypy in contrast to smooth pursuit eye movements and latent inhibition. Neuropsychologia 2021; 161:107989. [PMID: 34419489 DOI: 10.1016/j.neuropsychologia.2021.107989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/30/2021] [Accepted: 08/05/2021] [Indexed: 10/20/2022]
Abstract
Since the characteristics and symptoms of both schizophrenia and schizotypy are manifested heterogeneously, it is possible that different endophenotypes and neurophysiological measures (sensory gating and smooth pursuit eye movement errors) represent different clusters of symptoms. Participants (N = 205) underwent a standard conditioned-pairing paradigm to establish their sensory gating ratio, a smooth-pursuit eye-movement task, a latent inhibition task, and completed the Schizotypal Personality Questionnaire. A Multidimensional Scaling analysis revealed that sensory gating was related to positive and disorganised dimensions of schizotypy. Latent inhibition and prepulse inhibition were not related to any dimension of schizotypy. Smooth pursuit eye movement error was unrelated to sensory gating and latent inhibition, but was related to negative dimensions of schizotypy. Our findings suggest that the symptom clusters associated with two main endophenotypes are largely independent. To fully understand symptomology and outcomes of schizotypal traits, the different subtypes of schizotypy (and potentially, schizophrenia) ought to be considered separately rather than together.
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19
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Ferretjans R, de Souza RP, Panizzutti B, Ferrari P, Mantovani L, de Campos-Carli SM, Santos RR, Guimarães FC, Teixeira AL, Gama CS, Salgado JV. Cannabinoid receptor gene polymorphisms and cognitive performance in patients with schizophrenia and controls. ACTA ACUST UNITED AC 2021; 44:26-34. [PMID: 34190825 PMCID: PMC8827365 DOI: 10.1590/1516-4446-2020-1650] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Accepted: 02/20/2021] [Indexed: 12/18/2022]
Abstract
Objective: To test the hypothesis that genetic variations of cannabinoid receptors contribute to the pathophysiology of cognitive deficits in schizophrenia. Methods: In this genetic association case-control study, cannabinoid receptor polymorphisms CNR1 rs12720071 and CNR2 rs2229579 were tested for association with neurocognitive performance in 69 patients with schizophrenia and 45 healthy controls. Neurocognition was assessed by the Brief Assessment of Cognition in Schizophrenia (BACS). Results: We found a consistent association between CNR1 rs12720071 polymorphism and the cognitive performance of patients in several cognitive domains. Patients with C/C polymorphism presented significantly worse performance in motor speed, verbal fluency, attention/processing speed and reasoning/problem solving. Conclusion: Although limited, our data support the hypothesis that CNR1 variations may be associated with the pathogenesis of cognitive deficits of schizophrenia.
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Affiliation(s)
- Rodrigo Ferretjans
- Programa Interdisciplinar de Pós-Graduação em Neurociências, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Renan P de Souza
- Programa de Pós-Graduação em Genética, Instituto de Ciências Biológicas, UFMG, Belo Horizonte, MG, Brazil
| | - Bruna Panizzutti
- The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Barwon Health, Geelong, Australia.,Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia
| | - Pâmela Ferrari
- Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento (PPGPSIQ), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.,Laboratório de Psiquiatria Molecular, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil
| | - Lucas Mantovani
- Programa Interdisciplinar de Pós-Graduação em Neurociências, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Salvina M de Campos-Carli
- Programa Interdisciplinar de Pós-Graduação em Neurociências, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Rafael R Santos
- Programa Interdisciplinar de Pós-Graduação em Neurociências, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Fernanda C Guimarães
- Programa Interdisciplinar de Pós-Graduação em Neurociências, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Antonio L Teixeira
- Instituto de Ensino e Pesquisa, Santa Casa BH, Belo Horizonte, MG, Brazil.,Neuropsychiatry Program, UTHealth Houston, TX, USA
| | - Clarissa S Gama
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia.,Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento (PPGPSIQ), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - João V Salgado
- Programa Interdisciplinar de Pós-Graduação em Neurociências, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.,Departamento de Morfologia, Instituto de Ciências Biológicas, UFMG, Belo Horizonte, MG, Brazil
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20
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Computational methods for integrative evaluation of confidence, accuracy, and reaction time in facial affect recognition in schizophrenia. SCHIZOPHRENIA RESEARCH-COGNITION 2021; 25:100196. [PMID: 33996517 PMCID: PMC8093458 DOI: 10.1016/j.scog.2021.100196] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 03/06/2021] [Accepted: 03/10/2021] [Indexed: 11/21/2022]
Abstract
People with schizophrenia (SZ) process emotions less accurately than do healthy comparators (HC), and emotion recognition have expanded beyond accuracy to performance variables like reaction time (RT) and confidence. These domains are typically evaluated independently, but complex inter-relationships can be evaluated through machine learning at an item-by-item level. Using a mix of ranking and machine learning tools, we investigated item-by-item discrimination of facial affect with two emotion recognition tests (BLERT and ER-40) between SZ and HC. The best performing multi-domain model for ER40 had a large effect size in differentiating SZ and HC (d = 1.24) compared to a standard comparison of accuracy alone (d = 0.48); smaller increments in effect sizes were evident for the BLERT (d = 0.87 vs. d = 0.58). Almost half of the selected items were confidence ratings. Within SZ, machine learning models with ER40 (generally accuracy and reaction time) items predicted severity of depression and overconfidence in social cognitive ability, but not psychotic symptoms. Pending independent replication, the results support machine learning, and the inclusion of confidence ratings, in characterizing the social cognitive deficits in SZ. This moderate-sized study (n = 372) included subjects with schizophrenia (SZ, n = 218) and healthy controls (HC, n = 154). This paper explores the value of integrative evaluation of confidence, accuracy, and reaction time by way of machine learning in understanding the unique aspects of facial affect recognition in schizophrenia. Machine learning models better separated schizophrenia from healthy comparators that standard statistical comparison, confidence ratings contributed to this separation in a disproportionate manner. Machine learning approaches provide a novel way to analyze item-by-item associations with social cognition measures, or potentially other tests, where multiple overlapping dimensions exist. Aberrant confidence ratings interact with performance variables in complex ways to contribute to social cognitive deficits in schizophrenia.
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21
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Cognitive heterogeneity in the offspring of patients with schizophrenia or bipolar disorder: a cluster analysis across family risk. J Affect Disord 2021; 282:757-765. [PMID: 33601716 DOI: 10.1016/j.jad.2020.12.090] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 11/13/2020] [Accepted: 12/22/2020] [Indexed: 01/22/2023]
Abstract
BACKGROUND Neurocognitive impairment is considered to lie on a continuum of severity across schizophrenia (SZ) and bipolar disorder (BP), possibly reflecting a gradient of neurodevelopmental load. Cluster analyses have identified different levels of impairment across the two disorders, from none to widespread and severe. We for the first time used this approach to examine cognitive function pooling together children and adolescents at familial risk of SZ or BP. METHODS 220 participants, 49 offspring of individuals with schizophrenia (SZO), 90 offspring of individuals with bipolar disorder (BPO) and 81 offspring of healthy control parents (HC), aged 6 to 17 years, underwent a comprehensive clinical and cognitive assessment. Cognitive measures were used to group SZO and BPO using K-means clustering. Cognitive performance within each of the clusters was compared to that of HC and clinical variables were compared between clusters. RESULTS We identified three cognitive subgroups: a moderate impairment group, a mild impairment group, and a cognitively intact group. Both SZO and BPO were represented in each of the clusters, yet not evenly, with a larger proportion of the SZO in the moderately impaired cluster, but also a subgroup of BPO showing moderate cognitive dysfunction. LIMITATIONS Participants have yet to reach the age of onset for the examined disorders. CONCLUSIONS The findings point to a range of neurodevelopmental loadings across youth at familial risk of both SZ and BP. They have therefore important implications for the stratification of cognitive functioning and the possibility to tailor interventions to individual levels of impairment.
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22
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Karayanidis F, McKewen M. More than “just a test”—Task-switching paradigms offer an early warning system for cognitive decline. PSYCHOLOGY OF LEARNING AND MOTIVATION 2021. [DOI: 10.1016/bs.plm.2021.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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23
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Yazıhan NT, Yetkin S. Sleep, sleep spindles, and cognitive functions in drug-naive patients with first-episode psychosis. J Clin Sleep Med 2020; 16:2079-2087. [PMID: 32870142 DOI: 10.5664/jcsm.8776] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
STUDY OBJECTIVES Various lines of clinical findings have suggested abnormalities in macro- or microstructural parameters of sleep in patients with schizophrenia. Meanwhile findings are inconclusive due to some confounding factors, such as the heterogeneity of the disorder, drug regimen, and duration of the illness. There are a few studies in the literature that have been conducted on drug-free patients with first-episode psychosis (FEP). Based on this knowledge, we aimed to explore sleep characteristics, sleep spindles, and neuropsychological profiles of the drug-naive patients with FEP. METHODS The study sample consisted of 21 drug-naive patients with FEP and 21 healthy participants. Polysomnography recordings were conducted for 2 subsequent nights. A neuropsychological test battery was administered for assessing cognitive functions. The Positive and Negative Syndrome Scale was applied to measure symptom severity of the patients. Spindle detection was performed visually. RESULTS According to the results of the study, the patient group's percentage of stage N2 sleep and sleep efficiency index was lower than in the control group. Among sleep spindle parameters, spindle density was found to be reduced in the patient group. The results of neuropsychological tests measuring executive functions, learning, and memory support the idea that there is a global cognitive deterioration from the early course of the disorder. In the psychotic group, negative symptoms were negatively correlated with verbal memory, learning, verbal fluency, and semantic organization. We found that the percentage of stage N3 sleep decreased while negative symptom severity increased. In addition, the percentage of stage N1 sleep increased as negative symptom severity increased. Reduction in stage N3 sleep was associated with an impairment in learning, verbal fluency, and response inhibition. The sleep spindle density and cognitive functions did not show any associations. CONCLUSIONS Taken together, these findings suggest that patients with FEP show global cognitive impairment (except for attention and processing speed), which is associated with changes in sleep architecture and higher score in a scale assessing negative symptoms. We conclude that cognitive function and spindle parameters differ nonlinearly among patients with FEP.
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Affiliation(s)
| | - Sinan Yetkin
- Department of Psychiatry, Health Sciences University, Ankara, Turkey
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24
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Donati FL, D’Agostino A, Ferrarelli F. Neurocognitive and neurophysiological endophenotypes in schizophrenia: An overview. Biomark Neuropsychiatry 2020. [DOI: 10.1016/j.bionps.2020.100017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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25
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Wu Q, He J, Fang S, Zhang P, Luo X, Zhang J, Xiong Y, Luo F, Wang X, Yao S, Wang X. A novel construct of anhedonia revealed in a Chinese sample via the Revised Physical and Social Anhedonia Scales. BMC Psychiatry 2020; 20:529. [PMID: 33167901 PMCID: PMC7650163 DOI: 10.1186/s12888-020-02900-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 09/28/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Anhedonia is a core clinical symptom of mental disorders. The Revised Physical Anhedonia Scale (RPAS) and the Revised Social Anhedonia Scale (RSAS) have been applied in clinical and non-clinical samples since 1980s. However, the construct of a unified RPAS&RSAS for comprehensive measurement of anhedonia has never been explored. Therefore, the purpose of our study was to examine the factor structure of the unified RPAS&RSAS among undergraduates and clinical patients. METHODS A total of 3435 undergraduates from two universities and 294 clinical patients with mental disorders had completed the Chinese version of the RPAS and the RSAS. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were each conducted to reveal the constructs of the RPAS and the RSAS. CFA was used to evaluate first- and second-order models for the unified RPAS&RSAS in undergraduates and clinical patients. The internal consistency and test-retest reliability of the RPAS and the RSAS were also evaluated. RESULTS EFA and CFA indicated 2-factor structures for RPAS and RSAS, with the factors being defined as anticipatory anhedonia and consummatory anhedonia. The second-order model of the unified RPAS&RSAS in the undergraduates and clinical patients both had satisfactory fit index values (Undergraduate sample: CFI = 0.901, TLI = 0.899, RMSEA = 0.055, SRMR = 0.086; Clinical sample: CFI = 0.922, TLI = 0.911, RMSEA = 0.052, SRMR = 0.078). The psychometric robustness of the RPAS&RSAS were confirmed by high internal consistency and test-retest reliability values. CONCLUSIONS The unified RPAS&RSAS with a second-order structure was confirmed in both undergraduates and clinical samples in Chinese. The construct of anhedonia was refreshed as covering physical and social domains, and each of them includes both anticipatory and consummatory components.
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Affiliation(s)
- Qiongqiong Wu
- grid.216417.70000 0001 0379 7164Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, 410011 China
| | - Jiayue He
- grid.216417.70000 0001 0379 7164Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, 410011 China
| | - Shulin Fang
- grid.216417.70000 0001 0379 7164Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, 410011 China
| | - Panwen Zhang
- grid.216417.70000 0001 0379 7164Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, 410011 China
| | - Xingwei Luo
- grid.216417.70000 0001 0379 7164Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, 410011 China
| | - Jianghua Zhang
- grid.216417.70000 0001 0379 7164Student Affairs Department, Central South University, Changsha, 410083 China
| | - Yan Xiong
- grid.216417.70000 0001 0379 7164Student Affairs Department, Central South University, Changsha, 410083 China
| | - Fusheng Luo
- grid.440660.00000 0004 1761 0083Student Affairs Department, Central South University of Forestry and Technology, Changsha, 410004 China
| | - Xiaosheng Wang
- grid.216417.70000 0001 0379 7164Department of Human Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, 410013 China
| | - Shuqiao Yao
- grid.216417.70000 0001 0379 7164Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, 410011 China ,grid.216417.70000 0001 0379 7164Medical Psychological Institute of Central South University, Changsha, 410011 China ,National Clinical Research Center for Mental Disorders, Changsha, 410011 China
| | - Xiang Wang
- Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, 410011, China. .,Medical Psychological Institute of Central South University, Changsha, 410011, China. .,National Clinical Research Center for Mental Disorders, Changsha, 410011, China.
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Stone WS, Cai B, Liu X, Grivel MMR, Yu G, Xu Y, Ouyang X, Chen H, Deng F, Xue F, Li H, Lieberman JA, Keshavan MS, Susser ES, Yang LH, Phillips MR. Association Between the Duration of Untreated Psychosis and Selective Cognitive Performance in Community-Dwelling Individuals With Chronic Untreated Schizophrenia in Rural China. JAMA Psychiatry 2020; 77:1116-1126. [PMID: 32639517 PMCID: PMC7344798 DOI: 10.1001/jamapsychiatry.2020.1619] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
IMPORTANCE Cognitive deficits constitute core features of schizophrenia, but the trajectories of cognitive difficulties in chronic untreated schizophrenia remain unclear. OBJECTIVE To assess the association of neuropsychological deficits with duration of untreated psychosis in individuals with chronic untreated schizophrenia. DESIGN, SETTING, AND PARTICIPANTS Community-dwelling individuals with chronic untreated schizophrenia (untreated patient group) and individuals without mental illness (control group) were recruited from predominantly rural communities in Ningxia, China between June 20, 2016, and August 6, 2019, and administered the Structured Clinical Interview for DSM-IV, the Mini-Mental State Examination, an 8-test version of the MATRICS Consensus Cognition Battery adapted for use in individuals with low levels of education, and a measure of social cognition. MAIN OUTCOMES AND MEASURES Comparison of cognitive test scores between the two groups and association of cognitive test scores with duration of untreated schizophrenia. RESULTS The patient group included 197 individuals with chronic untreated schizophrenia (101 men [51.3%]; mean [SD] age, 52.1 [11.8] years; median [interquartile range] years of schooling, 3 [0-6] years; median [interquartile range] years of untreated psychosis, 22.9 [14.9-32.8] years). The control group included 220 individuals (118 men [53.6%]; mean [SD] age, 52.1 [11.2] years; median [interquartile range] years of schooling, 4 [0-6] years). The untreated patient group performed significantly worse than the control group on all cognitive measures (adjusted partial Spearman correlation coefficient [Spearman ρ] ranged from -0.35 for the revised Chinese version of the Reading the Mind in the Eyes Test to -0.60 for the Brief Visuospatial Memory Test-Revised; P < .001 for all comparisons). Longer durations of untreated psychosis were associated with lower performance in 3 MATRICS Consensus Cognition Battery measures assessing different aspects of executive functioning (Brief Visuospatial Memory Test-Revised [ρ = -0.20; P = .04]; Brief Assessment of Cognition in Schizophrenia, Symbol Coding subtest [ρ = -0.35; P < .001]; and Neuropsychological Assessment Battery, Mazes subtest [ρ = -0.24; P = .01]). The median duration of untreated psychosis (22.9 years) was associated with estimated score reductions in the 3 measures of 34% (95% CI, 10%-52%), 43% (95% CI, 28%-55%), and 57% (95% CI, 31%-73%), respectively. CONCLUSIONS AND RELEVANCE The findings of this study suggest that long-term untreated schizophrenia was associated with decreases in selective cognitive abilities; both neurodegenerative pathology and neurodevelopmental dysfunction may be factors in cognition in persistent psychosis. Expanding research to include cohorts of patients from underserved rural communities in low- and middle-income countries may provide new insights about the etiological factors, disease course, and management of schizophrenia.
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Affiliation(s)
- William S. Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Bing Cai
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai, China
| | - Xinhua Liu
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Margaux M.-R. Grivel
- Department of Social and Behavioral Sciences, New York University School of Global Public Health, New York, New York
| | - Gary Yu
- Rory Meyers College of Nursing, New York University, New York, New York
| | - Yangmu Xu
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Xinyi Ouyang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai, China
| | - Hanhui Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai, China
| | - Fei Deng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai, China
| | - Fang Xue
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai, China
| | - Huijun Li
- Department of Psychology, Florida A&M University, Tallahassee
| | - Jeffrey A. Lieberman
- Department of Psychiatry, Columbia University, New York, New York,New York State Psychiatric Institute, New York
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Ezra S. Susser
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Lawrence H. Yang
- Department of Social and Behavioral Sciences, New York University School of Global Public Health, New York, New York,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Michael R. Phillips
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai, China,Department of Psychiatry, Columbia University, New York, New York,New York State Psychiatric Institute, New York,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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27
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Abhishek P, Nizamie SH, Jahan M, Kumar D, Goyal N, Pachori H, Katshu MZUH. Impaired recollection-based episodic memory as a cognitive endophenotype in schizophrenia. J Clin Exp Neuropsychol 2020; 42:759-770. [PMID: 32907466 DOI: 10.1080/13803395.2020.1801598] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Patients with schizophrenia show impaired recollection but largely preserved familiarity-based episodic memory. This study was done to clarify the endophenotypic nature of recollection and familiarity-based episodic memory in schizophrenia and the role of emotional valence of memoranda and degree of recall confidence in it. METHOD Twenty-five patients with schizophrenia, one unaffected sibling of each patient, and twenty-three healthy controls completed two tasks assessing recollection and familiarity-based processes in episodic memory. In the first task, participants were asked to remember positive, negative, and neutral emotional valence words in a remember-know paradigm. In the second task, in addition to recollection and familiarity-based responses, participants were asked to make confidence judgments about their responses. RESULTS Patients with schizophrenia and their first-degree relatives (FDRs) performed poorly on recollection but not familiarity-based responses, compared to healthy controls; performance of first-degree relatives was in between and significantly different from that of both patients and controls. The differences in recollection and familiarity-based responses across the three groups were not moderated by recall confidence judgments or emotional valence of memoranda. Furthermore, there was no correlation between recollection-based memory impairments and duration or severity of illness or current medication exposure. CONCLUSIONS Impaired recollection-based memory constitutes a potential cognitive endophenotype in schizophrenia. Furthermore, selective impairment of recollection-based, but sparing of familiarity-based, memory in patients and their FDRs supports the distinct nature of recollection and familiarity-based episodic memories.
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Affiliation(s)
| | - S Haque Nizamie
- K. S. Mani Centre for Cognitive Neurosciences, Central Institute of Psychiatry , Ranchi, India
| | - Masroor Jahan
- Department of Clinical Psychology, Ranchi Institute of Neuro-Psychiatry & Allied Sciences , Ranchi, India
| | - Devvarta Kumar
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences , Bangalore, India
| | - Nishant Goyal
- K. S. Mani Centre for Cognitive Neurosciences, Central Institute of Psychiatry , Ranchi, India
| | - Hariom Pachori
- Computer Department-Statistical Section, Central Institute of Psychiatry , Ranchi, India
| | - Mohammad Zia Ul Haq Katshu
- Institute of Mental Health, University of Nottingham , Nottingham, UK.,Nottinghamshire Healthcare NHS Foundation Trust , Nottingham, UK
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28
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Habtewold TD, Liemburg EJ, Islam MA, de Zwarte SMC, Boezen HM, Bruggeman R, Alizadeh BZ. Association of schizophrenia polygenic risk score with data-driven cognitive subtypes: A six-year longitudinal study in patients, siblings and controls. Schizophr Res 2020; 223:135-147. [PMID: 32631699 DOI: 10.1016/j.schres.2020.05.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 03/23/2020] [Accepted: 05/06/2020] [Indexed: 12/12/2022]
Abstract
Cross-sectional studies have shown that the polygenic risk score for schizophrenia (PRSSCZ) may influence heterogeneity in cognitive performance although evidence from family-based longitudinal study is limited. This study aimed to identify trajectories of cognitive function and assess whether the PRSSCZ is associated with baseline cognitive performance and predicted six-year trajectories. We included 1119 patients with a schizophrenia spectrum disorder, and 1059 unaffected siblings and 586 unrelated controls who are eligible at baseline. Genotype data were collected at baseline, whereas clinical and sociodemographic data were collected at baseline, three and six years. Group-based trajectory modeling was applied on a weighted standardized composite score of general cognition to unravel cognitive subtypes and explore trajectories over time. We followed a standard procedure to calculate the polygenic risk score. A random-effects ordinal regression model was used to investigate the association between PRSSCZ and cognitive subtypes. Five cognitive subtypes with variable trajectories were found in patients, four in siblings and controls, and six in all combined samples. PRSSCZ significantly predicted poor cognitive trajectories in patients, siblings and all samples. After Bonferroni correction and adjustment for non-genetic factors, only the results in all combined sample remained significant. Cognitive impairment in schizophrenia is heterogeneous and may be linked with high PRSSCZ. Our finding confirmed at least in all combined samples the presence of genetic overlap between schizophrenia and cognitive function and can give insight into the mechanisms of cognitive deficits.
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Affiliation(s)
- Tesfa Dejenie Habtewold
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Groningen, the Netherlands.
| | - Edith J Liemburg
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Groningen, the Netherlands
| | - Md Atiqul Islam
- Shahjalal University of Science and Technology, Department of Statistics, Sylhet 3114, Bangladesh
| | - Sonja M C de Zwarte
- Utrecht University, University Medical Center Utrecht, Brain Center Rudolf Magnus, Department of Psychiatry, Utrecht, Netherlands
| | - H Marike Boezen
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | | | - Richard Bruggeman
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Groningen, the Netherlands; University of Groningen, Faculty of Behavioural and Social Sciences, Department of Clinical and Developmental Neuropsychology, Groningen, the Netherlands.
| | - Behrooz Z Alizadeh
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Groningen, the Netherlands
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29
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Bigdeli TB, Nuechterlein KH, Sugar CA, Subotnik KL, Kubarych T, Neale MC, Kendler KS, Asarnow RF. Evidence of shared familial factors influencing neurocognitive endophenotypes in adult- and childhood-onset schizophrenia. Psychol Med 2020; 50:1672-1679. [PMID: 31362798 DOI: 10.1017/s0033291719001715] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND The aggregation of neurocognitive deficits among the non-psychotic first-degree relatives of adult- and childhood-onset schizophrenia patients suggests that there may be a common etiology for these deficits in childhood- and adult-onset illness. However, there is considerable heterogeneity in the presentation of neurobiological abnormalities, and whether there are differences in the extent of familial transmission for specific domains of cognitive function has not been systematically addressed. METHODS We employed variance components analysis, as implemented in SOLAR-Eclipse, to evaluate the evidence of familial transmission for empirically derived composite scores representing attention, working memory, verbal learning, verbal retention, and memory for faces. We contrast estimates for adult- and childhood-onset schizophrenia families and matched community control pedigrees, and compare our findings to previous reports based on analogous neurocognitive assessments. RESULTS We observed varying degrees of familial transmission; attention and working memory yielded comparable, significant estimates for adult-onset and community control pedigrees; verbal learning was significant for childhood-onset and community control pedigrees; and facial memory demonstrated significant familial transmission only for childhood-onset schizophrenia. Model-fitting analyses indicated significant differences in familiality between adult- and childhood-onset schizophrenia for attention, working memory, and verbal learning. CONCLUSIONS By comprehensively assessing a wide range of neurocognitive domains in adult- and childhood-onset schizophrenia families, we provide additional support for specific neurocognitive domains as schizophrenia endophenotypes. Whereas comparable estimates of familial transmission for certain dimensions of cognitive functioning support a shared etiology of adult- and childhood-onset neurocognitive function, observed differences may be taken as preliminary evidence of partially divergent multifactorial architectures.
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Affiliation(s)
- Tim B Bigdeli
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, New York, USA
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Catherine A Sugar
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, University of California Los Angeles, Los Angeles, CA, USA
| | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Thomas Kubarych
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Michael C Neale
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Kenneth S Kendler
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Robert F Asarnow
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
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30
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Harvey PD, Sun N, Bigdeli TB, Fanous AH, Aslan M, Malhotra AK, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Rajeevan N, Sayward F, Cheung KH, Li Y, Greenwood TA, Gur RE, Braff DL, Brophy M, Pyarajan S, O'Leary TJ, Gleason T, Przygodszki R, Muralidhar S, Gaziano JM, Concato J, Zhao H, Siever LJ. Genome-wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder. Am J Med Genet B Neuropsychiatr Genet 2020; 183:181-194. [PMID: 31872970 DOI: 10.1002/ajmg.b.32775] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 11/22/2019] [Accepted: 12/09/2019] [Indexed: 12/25/2022]
Abstract
Cognitive impairment is a frequent and serious problem in patients with various forms of severe mental illnesses (SMI), including schizophrenia (SZ) and bipolar disorder (BP). Recent research suggests genetic links to several cognitive phenotypes in both SMI and in the general population. Our goal in this study was to identify potential genomic signatures of cognitive functioning in veterans with severe mental illness and compare them to previous findings for cognition across different populations. Veterans Affairs (VA) Cooperative Studies Program (CSP) Study #572 evaluated cognitive and functional capacity measures among SZ and BP patients. In conjunction with the VA Million Veteran Program, 3,959 European American (1,095 SZ, 2,864 BP) and 2,601 African American (1,095 SZ, 2,864 BP) patients were genotyped using a custom Affymetrix Axiom Biobank array. We performed a genome-wide association study of global cognitive functioning, constructed polygenic scores for SZ and cognition in the general population, and examined genetic correlations with 2,626 UK Biobank traits. Although no single locus attained genome-wide significance, observed allelic effects were strongly consistent with previous studies. We observed robust associations between global cognitive functioning and polygenic scores for cognitive performance, intelligence, and SZ risk. We also identified significant genetic correlations with several cognition-related traits in UK Biobank. In a diverse cohort of U.S. veterans with SZ or BP, we demonstrate broad overlap of common genetic effects on cognition in the general population, and find that greater polygenic loading for SZ risk is associated with poorer cognitive performance.
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Affiliation(s)
- Philip D Harvey
- Research Service, Bruce W. Carter Miami Veterans Affairs (VA) Medical Center, Miami, Florida.,Department of Psychiatry and Behavioral Sciences, University of Miami School of Medicine, Miami, Florida
| | - Ning Sun
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Tim B Bigdeli
- Department of Psychiatry, VA New York Harbor Healthcare System, Brooklyn, New York.,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Ayman H Fanous
- Department of Psychiatry, VA New York Harbor Healthcare System, Brooklyn, New York.,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Mihaela Aslan
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Anil K Malhotra
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York.,Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York.,Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, New York
| | - Qiongshi Lu
- Yale University School of Medicine, New Haven, Connecticut.,Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin
| | - Yiming Hu
- Yale University School of Medicine, New Haven, Connecticut
| | - Boyang Li
- Yale University School of Medicine, New Haven, Connecticut
| | - Quan Chen
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Shrikant Mane
- Yale University School of Medicine, New Haven, Connecticut
| | - Perry Miller
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Nallakkandi Rajeevan
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Frederick Sayward
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Kei-Hoi Cheung
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Yuli Li
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | | | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Department of Child & Adolescent Psychiatry and Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - David L Braff
- Department of Psychiatry, University of California, San Diego, California.,VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, California
| | | | - Mary Brophy
- Massachusetts Area Veterans Epidemiology Research, and Information Center (MAVERIC), Jamaica Plain, Massachusetts.,Boston University School of Medicine, Boston, Massachusetts
| | - Saiju Pyarajan
- Massachusetts Area Veterans Epidemiology Research, and Information Center (MAVERIC), Jamaica Plain, Massachusetts
| | - Timothy J O'Leary
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - Theresa Gleason
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - Ronald Przygodszki
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - J Michael Gaziano
- Massachusetts Area Veterans Epidemiology Research, and Information Center (MAVERIC), Jamaica Plain, Massachusetts.,Department of Medicine, Harvard University, Boston, Massachusetts
| | - John Concato
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Hongyu Zhao
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Larry J Siever
- James J. Peters Veterans Affairs Medical Center, Bronx, New York.,Department of Psychiatry, Mount Sinai School of Medicine, New York, New York
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Taylor JH, Asabere N, Calkins ME, Moore TM, Tang SX, Xavier RM, Merikangas AK, Wolf DH, Almasy L, Gur RC, Gur RE. Characteristics of youth with reported family history of psychosis spectrum symptoms in the Philadelphia Neurodevelopmental Cohort. Schizophr Res 2020; 216:104-110. [PMID: 31883930 PMCID: PMC7239716 DOI: 10.1016/j.schres.2019.12.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 11/23/2019] [Accepted: 12/19/2019] [Indexed: 12/22/2022]
Abstract
Little is known about the impact of family history of psychosis on youth from community samples. To fill this gap, we compared youth with a first-degree relative with psychosis spectrum symptoms (i.e. family history of psychosis spectrum symptoms, FHPS) to youth without FHPS in a cross-sectional analysis of the Philadelphia Neurodevelopmental Cohort (PNC). The PNC is a racially diverse community sample of 9498 youth ages 8-21 years old, of whom 8928 completed the Family Interview for Genetic Studies to determine FHPS status. Polygenic risk score for schizophrenia (PRSS) was available for a subsample of 4433 European Americans. FHPS youth (n = 489) constituted 5.5% of the analytic sample. After adjusting for environmental risk factors (sociodemographic variables and traumatic stressful events), FHPS youth had lower functioning on the Children's Global Assessment Scale and elevated psychosis spectrum, mood, externalizing, and fear symptoms compared to non-FHPS youth (all p < .001). In the European-American subsample, FHPS status was associated with poorer functioning and greater symptom burden in all four psychopathology domains (all p < .001), even after covarying for PRSS. Thus, ascertaining FHPS is important because it is uniquely associated with symptoms and functional impairment in community youth beyond PRS-S and the environmental risk factors we investigated. Future research identifying environmental causes of FHPS-associated impairment could inform the development of interventions for the broad array of symptoms observed in FHPS youth.
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Affiliation(s)
- Jerome H Taylor
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
| | - Nana Asabere
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Monica E Calkins
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Tyler M Moore
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Sunny X Tang
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Rose Mary Xavier
- The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alison K Merikangas
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Daniel H Wolf
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Laura Almasy
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C Gur
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Raquel E Gur
- Lifespan Brain Institute, Children's Hospital of Philadelphia Department of Child and Adolescent Psychiatry and Behavioral Sciences, Perelman School of Medicine Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
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32
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Li Z, Liu L, Lin W, Zhou Y, Zhang G, Du X, Li Y, Tang W, Zhang X. NRG3 contributes to cognitive deficits in chronic patients with schizophrenia. Schizophr Res 2020; 215:134-139. [PMID: 31753594 DOI: 10.1016/j.schres.2019.10.060] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 09/06/2019] [Accepted: 10/30/2019] [Indexed: 11/24/2022]
Abstract
BACKGROUND Cognitive deficit is a fundamental trait of schizophrenia, but its mecwhanisms remain unknown. The neuregulin 3 (NRG3) gene, involving in neuronal function, has been considered to be associated with schizophrenia and cognition. However, no study has investigated the effects of NRG3 polymorphism on cognitive deficits in a large sample of the patients with schizophrenia. METHODS A total of 1112 schizophrenia patients and 423 controls were recruited and genotyped with NRG3 rs10748842. Among them, 864 patients and 403 controls were assessed for cognition through the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). SHEsis was applied and followed by logistic regression analysis. The models of analyses of covariance (ANCOVA) were constructed to examine the effects of NRG3 rs10748842 on cognitive deficits. RESULTS No differences in NRG3 rs10748842 allele and genotype were found between patients and controls (both p > 0.05). With the exception of Visuospatial/construction, the other RBANS scores were significantly lower in patients compared to controls after adjusting for gender and education (all p < 0.001). Interestingly, we found that NRG3 rs10748842 was associated with cognitive deficit in schizophrenia, showing that patients carrying C allele had lower attention and total scores than those with TT genotype (both p < 0.05). CONCLUSION NRG3 rs10748842 may not confer susceptibility to schizophrenia, but may be more closely associated with cognitive deficit, especially attention performance in chronic schizophrenia.
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Affiliation(s)
- Zezhi Li
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lihua Liu
- Department of Psychiatry, Qingdao Mental Health Center, Qingdao, China
| | - Wei Lin
- Department of Psychiatry, Qingdao Mental Health Center, Qingdao, China
| | - Yongjie Zhou
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China; Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China
| | - Guangya Zhang
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiangdong Du
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Yi Li
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China; Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China
| | - Wei Tang
- The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Medical University Wenzhou, Zhejiang, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China.
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Ebdrup BH, Axelsen MC, Bak N, Fagerlund B, Oranje B, Raghava JM, Nielsen MØ, Rostrup E, Hansen LK, Glenthøj BY. Accuracy of diagnostic classification algorithms using cognitive-, electrophysiological-, and neuroanatomical data in antipsychotic-naïve schizophrenia patients. Psychol Med 2019; 49:2754-2763. [PMID: 30560750 PMCID: PMC6877469 DOI: 10.1017/s0033291718003781] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 11/13/2018] [Accepted: 11/20/2018] [Indexed: 11/10/2022]
Abstract
BACKGROUND A wealth of clinical studies have identified objective biomarkers, which separate schizophrenia patients from healthy controls on a group level, but current diagnostic systems solely include clinical symptoms. In this study, we investigate if machine learning algorithms on multimodal data can serve as a framework for clinical translation. METHODS Forty-six antipsychotic-naïve, first-episode schizophrenia patients and 58 controls underwent neurocognitive tests, electrophysiology, and magnetic resonance imaging (MRI). Patients underwent clinical assessments before and after 6 weeks of antipsychotic monotherapy with amisulpride. Nine configurations of different supervised machine learning algorithms were applied to first estimate the unimodal diagnostic accuracy, and next to estimate the multimodal diagnostic accuracy. Finally, we explored the predictability of symptom remission. RESULTS Cognitive data significantly classified patients from controls (accuracies = 60-69%; p values = 0.0001-0.009). Accuracies of electrophysiology, structural MRI, and diffusion tensor imaging did not exceed chance level. Multimodal analyses with cognition plus any combination of one or more of the remaining three modalities did not outperform cognition alone. None of the modalities predicted symptom remission. CONCLUSIONS In this multivariate and multimodal study in antipsychotic-naïve patients, only cognition significantly discriminated patients from controls, and no modality appeared to predict short-term symptom remission. Overall, these findings add to the increasing call for cognition to be included in the definition of schizophrenia. To bring about the full potential of machine learning algorithms in first-episode, antipsychotic-naïve schizophrenia patients, careful a priori variable selection based on independent data as well as inclusion of other modalities may be required.
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Affiliation(s)
- Bjørn H. Ebdrup
- Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Martin C. Axelsen
- Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
- Cognitive Systems, DTU Compute, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Nikolaj Bak
- Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - Birgitte Fagerlund
- Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Bob Oranje
- Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jayachandra M. Raghava
- Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Glostrup, Denmark
| | - Mette Ø. Nielsen
- Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Egill Rostrup
- Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - Lars K. Hansen
- Cognitive Systems, DTU Compute, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Birte Y. Glenthøj
- Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Greenwood TA, Lazzeroni LC, Maihofer AX, Swerdlow NR, Calkins ME, Freedman R, Green MF, Light GA, Nievergelt CM, Nuechterlein KH, Radant AD, Siever LJ, Silverman JM, Stone WS, Sugar CA, Tsuang DW, Tsuang MT, Turetsky BI, Gur RC, Gur RE, Braff DL. Genome-wide Association of Endophenotypes for Schizophrenia From the Consortium on the Genetics of Schizophrenia (COGS) Study. JAMA Psychiatry 2019; 76:1274-1284. [PMID: 31596458 PMCID: PMC6802253 DOI: 10.1001/jamapsychiatry.2019.2850] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
IMPORTANCE The Consortium on the Genetics of Schizophrenia (COGS) uses quantitative neurophysiological and neurocognitive endophenotypes with demonstrated deficits in schizophrenia as a platform from which to explore the underlying neural circuitry and genetic architecture. Many of these endophenotypes are associated with poor functional outcome in schizophrenia. Some are also endorsed as potential treatment targets by the US Food and Drug Administration. OBJECTIVE To build on prior assessments of heritability, association, and linkage in the COGS phase 1 (COGS-1) families by reporting a genome-wide association study (GWAS) of 11 schizophrenia-related endophenotypes in the independent phase 2 (COGS-2) cohort of patients with schizophrenia and healthy comparison participants (HCPs). DESIGN, SETTING, AND PARTICIPANTS A total of 1789 patients with schizophrenia and HCPs of self-reported European or Latino ancestry were recruited through a collaborative effort across the COGS sites and genotyped using the PsychChip. Standard quality control filters were applied, and more than 6.2 million variants with a genotyping call rate of greater than 0.99 were available after imputation. Association was performed for data sets stratified by diagnosis and ancestry using linear regression and adjusting for age, sex, and 5 principal components, with results combined through weighted meta-analysis. Data for COGS-1 were collected from January 6, 2003, to August 6, 2008; data for COGS-2, from June 30, 2010, to February 14, 2014. Data were analyzed from October 28, 2016, to May 4, 2018. MAIN OUTCOMES AND MEASURES A genome-wide association study was performed to evaluate association for 11 neurophysiological and neurocognitive endophenotypes targeting key domains of schizophrenia related to inhibition, attention, vigilance, learning, working memory, executive function, episodic memory, and social cognition. RESULTS The final sample of 1533 participants included 861 male participants (56.2%), and the mean (SD) age was 41.8 (13.6) years. In total, 7 genome-wide significant regions (P < 5 × 10-8) and 2 nearly significant regions (P < 9 × 10-8) containing several genes of interest, including NRG3 and HCN1, were identified for 7 endophenotypes. For each of the 11 endophenotypes, enrichment analyses performed at the level of P < 10-4 compared favorably with previous association results in the COGS-1 families and showed extensive overlap with regions identified for schizophrenia diagnosis. CONCLUSIONS AND RELEVANCE These analyses identified several genomic regions of interest that require further exploration and validation. These data seem to demonstrate the utility of endophenotypes for resolving the genetic architecture of schizophrenia and characterizing the underlying biological dysfunctions. Understanding the molecular basis of these endophenotypes may help to identify novel treatment targets and pave the way for precision-based medicine in schizophrenia and related psychotic disorders.
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Affiliation(s)
| | - Laura C. Lazzeroni
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California,Sierra Pacific Mental Illness Research Education and Clinical Center, Department of Veterans Affairs (VA) Health Care System, Palo Alto, California
| | - Adam X. Maihofer
- Department of Psychiatry, University of California, San Diego, La Jolla
| | - Neal R. Swerdlow
- Department of Psychiatry, University of California, San Diego, La Jolla
| | | | - Robert Freedman
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver
| | - Michael F. Green
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, California,Desert Pacific Mental Illness Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles, California
| | - Gregory A. Light
- Department of Psychiatry, University of California, San Diego, La Jolla,Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, California
| | | | | | - Allen D. Radant
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle,Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, Washington
| | - Larry J. Siever
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York,Research & Development, James J. Peters VA Medical Center, New York, New York
| | - Jeremy M. Silverman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York,Research & Development, James J. Peters VA Medical Center, New York, New York
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts,Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston
| | - Catherine A. Sugar
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, California,Department of Biostatistics, UCLA School of Public Health
| | - Debby W. Tsuang
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle,Northwest Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, Washington
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla
| | | | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia
| | - David L. Braff
- Department of Psychiatry, University of California, San Diego, La Jolla
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Pu C, Qiu Y, Zhou T, Yang F, Lu Z, Wang C, Deng H, Zhao J, Shi C, Yu X. Gender differences of neurocognitive functioning in patients with first-episode schizophrenia in China. Compr Psychiatry 2019; 95:152132. [PMID: 31669790 DOI: 10.1016/j.comppsych.2019.152132] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 09/16/2019] [Accepted: 09/23/2019] [Indexed: 02/05/2023] Open
Abstract
AIMS To investigate the gender differences in neurocognitive functioning in patients with first-episode schizophrenia (FES) in China. METHODS A total of 449 Chinese patients with FES (210 males, 239 females) were included in this study. Participants' psychopathology was assessed by the Positive and Negative Syndrome Scale (PANSS). Neurocognitive functioning was assessed by 10 neuropsychological tests from a battery. Neurocognitive test scores were converted to scale scores and t-scores using normative data from Chinese populations. RESULTS Males were younger and less likely to be married, had an earlier age of illness onset and a longer duration of untreated psychosis (DUP), and scored higher on the PANSS negative, general and total scales than females. After controlling for potential confounders, females performed better than males in the verbal learning and memory domain (p=0.016). While most neurocognitive domains were correlated with PANSS negative scores for male patients with FES, for female patients with FES, negative associations were found between scores on the PANSS general subscales and neurocognitive domains. We also performed a case-control comparison with a group of patients with clinically stable schizophrenia (CSS) (n=60) who were matched by age, sex and education years with patients with FES (n=58). After controlling for potential confounders, no significant differences were found between patients with FES and patients with CSS in all neurocognitive domains. Female patients still performed better in the verbal learning and memory domain (t=2.14, p=0.034). No interaction effects of gender and disease were found. CONCLUSIONS Gender was an independent influence factor for the verbal learning and memory domain. Both female patients with first-episode schizophrenia and female patients with clinically stable schizophrenia performed better than male patients.
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Affiliation(s)
- Chengcheng Pu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Centerfor Mental Disorders (Peking University Sixth Hospital), China
| | - Yujia Qiu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Centerfor Mental Disorders (Peking University Sixth Hospital), China
| | - Tianhang Zhou
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Centerfor Mental Disorders (Peking University Sixth Hospital), China
| | - Fude Yang
- Beijing Hui-Long-Guan Hospital, Beijing, China
| | - Zheng Lu
- Tongji Hospital of Tongji University, Shanghai, China
| | - Chuanyue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Hong Deng
- West China Hospital, Sichuan University, Chengdu, China
| | - Jingping Zhao
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
| | - Chuan Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Centerfor Mental Disorders (Peking University Sixth Hospital), China.
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Centerfor Mental Disorders (Peking University Sixth Hospital), China.
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Toulopoulou T, Zhang X, Cherny S, Dickinson D, Berman KF, Straub RE, Sham P, Weinberger DR. Polygenic risk score increases schizophrenia liability through cognition-relevant pathways. Brain 2019; 142:471-485. [PMID: 30535067 DOI: 10.1093/brain/awy279] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 09/19/2018] [Indexed: 02/02/2023] Open
Abstract
Cognitive deficit is thought to represent, at least in part, genetic mechanisms of risk for schizophrenia, with recent evidence from statistical modelling of twin data suggesting direct causality from the former to the latter. However, earlier evidence was based on inferences from twin not molecular genetic data and it is unclear how much genetic influence 'passes through' cognition on the way to diagnosis. Thus, we included direct measurements of genetic risk (e.g. schizophrenia polygenic risk scores) in causation models to assess the extent to which cognitive deficit mediates some of the effect of polygenic risk scores on the disorder. Causal models of family data tested relationships among key variables and allowed parsing of genetic variance components. Polygenic risk scores were calculated from summary statistics from the current largest genome-wide association study of schizophrenia and were represented as a latent trait. Cognition was also modelled as a latent trait. Participants were 1313 members of 1078 families: 416 patients with schizophrenia, 290 unaffected siblings, and 607 controls. Modelling supported earlier findings that cognitive deficit has a putatively causal role in schizophrenia. In total, polygenic risk score explained 8.07% [confidence interval (CI) 5.45-10.74%] of schizophrenia risk in our sample. Of this, more than a third (2.71%, CI 2.41-3.85%) of the polygenic risk score influence was mediated through cognition paths, exceeding the direct influence of polygenic risk score on schizophrenia risk (1.43%, CI 0.46-3.08%). The remainder of the polygenic risk score influence (3.93%, CI 2.37-4.48%) reflected reciprocal causation between schizophrenia liability and cognition (e.g. mutual influences in a cyclical manner). Analysis of genetic variance components of schizophrenia liability indicated that 26.87% (CI 21.45-32.57%) was associated with cognition-related pathways not captured by polygenic risk score. The remaining variance in schizophrenia was through pathways other than cognition-related and polygenic risk score. Although our results are based on inference through statistical modelling and do not provide an absolute proof of causality, we find that cognition pathways mediate a significant part of the influence of cumulative genetic risk on schizophrenia. We estimate from our model that 33.51% (CI 27.34-43.82%) of overall genetic risk is mediated through influences on cognition, but this requires further studies and analyses as the genetics of schizophrenia becomes better characterized.
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Affiliation(s)
- Timothea Toulopoulou
- Department of Psychology, Bilkent University, Bilkent, Ankara, Turkey.,The State Key Laboratory of Brain and Cognitive Sciences, the University of Hong Kong, Hong Kong SAR, China.,Department of Psychology, the University of Hong Kong, Hong Kong SAR, China.,Department of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience at King's College London, London, UK
| | - Xiaowei Zhang
- Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China
| | - Stacey Cherny
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience at King's College London, London, UK.,Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China
| | - Dwight Dickinson
- Clinical and Translational Neuroscience Branch, National Institute of Mental Health, USA
| | - Karen F Berman
- Clinical and Translational Neuroscience Branch, National Institute of Mental Health, USA
| | - Richard E Straub
- Lieber Institute for Brain Development, Johns Hopkins University, USA
| | - Pak Sham
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience at King's College London, London, UK.,Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins University, USA.,Departments of Psychiatry, Neurology, Neuroscience, The McKusick Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Johns Hopkins University, USA
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McCleery A, Nuechterlein KH. Cognitive impairment in psychotic illness: prevalence, profile of impairment, developmental course, and treatment considerations
. DIALOGUES IN CLINICAL NEUROSCIENCE 2019; 21:239-248. [PMID: 31749648 PMCID: PMC6829172 DOI: 10.31887/dcns.2019.21.3/amccleery] [Citation(s) in RCA: 102] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Despite effective pharmacological treatments for psychotic symptoms (eg, hallucinations, delusions), functional outcomes for people with psychotic disorders are often disappointing. Although it is not included in the diagnostic criteria for psychotic disorders, cognitive impairment is one of the strongest determinants of community functioning in this clinical population, and thus it is an important target for intervention. In this review, we discuss the major areas of research regarding impaired cognition in psychotic illness. The specific topics covered include: (i) the prevalence of cognitive impairment in psychotic disorders; (ii) the profile and magnitude of cognitive impairment in psychotic disorders; (iii) the developmental course of cognitive impairment; (iv) the longitudinal stability of cognitive impairment; and (v) treatment approaches to improve cognitive performance in people with psychotic disorders.
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Affiliation(s)
- Amanda McCleery
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, US; VA Greater Los Angeles, VISN 22 MIRECC, Los Angeles, California, US
| | - Keith H Nuechterlein
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, US; UCLA Department of Psychology, Los Angeles, California, US
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38
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Favre E, Leleu A, Peyroux E, Baudouin JY, Franck N, Demily C. Exploratory case study of monozygotic twins with 22q11.2DS provides further clues to circumscribe neurocognitive markers of psychotic symptoms. Neuroimage Clin 2019; 24:101987. [PMID: 31446315 PMCID: PMC6713843 DOI: 10.1016/j.nicl.2019.101987] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 07/16/2019] [Accepted: 08/16/2019] [Indexed: 01/09/2023]
Abstract
Variation in facial emotion processing abilities may contribute to variability in penetrance for psychotic symptoms in 22q11.2DS. However, the precise nature of the social cognitive dysfunction (i.e., facial expression perception vs. emotion recognition), the potential additional roles of genetic and environmental variabilities, and consequently the possibility of using this neurocognitive marker in clinical monitoring remain unclear. The present case study aimed at testing the hypothesis that when confounding factors are controlled, the presence of psychotic symptoms in 22q11.2DS is associated, at the individual level, with a neural marker of facial expression perception rather than explicit emotional face recognition. Two monozygotic twins with 22q11.2DS discordant for psychiatric manifestations performed (1) a classical facial emotion labelling task and (2) an implicit neural measurement of facial expression perception using a frequency-tagging approach in electroencephalography (EEG). Analysis of the periodic brain response elicited by a change of facial expression from neutrality indicated that the twin with psychotic symptoms did not detect emotion among neutral faces while the twin without the symptoms did. In contrast, both encountered difficulties labelling facial emotion. The results from this exploratory twin study support the idea that impaired facial expression perception rather than explicit recognition of the emotion expressed might be a neurocognitive endophenotype of psychotic symptoms that could be reliable at a clinical level. Although confirmatory studies should be required, it facilitates further discussion on the etiology of the clinical phenotype in 22q11.2DS.
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Affiliation(s)
- Emilie Favre
- GénoPsy, Centre de Référence Maladies Rares à Expression Psychiatrique, Centre Hospitalier Le Vinatier, 95 bd Pinel BP300.91, F-69 678 BRON Cedex, France; Equipe EDR-Psy, Institut de Sciences Cognitives Marc Jeannerod, CNRS-UMR5229 & Université Lyon 1 Claude Bernard, 67 bd Pinel, F-69 500 BRON, France.
| | - Arnaud Leleu
- Équipe Éthologie Développementale et Psychologie Cognitive, Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, UMR 6265 CNRS, UMR 1324 INRA, Université Bourgogne Franche-Comté, 9 bd Jeanne d'Arc, F-21 000 Dijon, France.
| | - Elodie Peyroux
- GénoPsy, Centre de Référence Maladies Rares à Expression Psychiatrique, Centre Hospitalier Le Vinatier, 95 bd Pinel BP300.91, F-69 678 BRON Cedex, France; Equipe EDR-Psy, Institut de Sciences Cognitives Marc Jeannerod, CNRS-UMR5229 & Université Lyon 1 Claude Bernard, 67 bd Pinel, F-69 500 BRON, France; Centre ressource pour la réhabilitation psychosociale et la remédiation cognitive, Centre Hospitalier Le Vinatier, 5 rue Jean Sarrazin, F-69 008 Lyon, France.
| | - Jean-Yves Baudouin
- Équipe Éthologie Développementale et Psychologie Cognitive, Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, UMR 6265 CNRS, UMR 1324 INRA, Université Bourgogne Franche-Comté, 9 bd Jeanne d'Arc, F-21 000 Dijon, France; Laboratoire Développement, Individu, Processus, Handicap, Education (DIPHE), Departement Psychologie du Développement, de l'Education et des Vulnérabilités (PsyDEV), Institut de psychologie, Université Lumière Lyon 2, 5 av Pierre Mendès-France, F-69676 Bron, France.
| | - Nicolas Franck
- Equipe EDR-Psy, Institut de Sciences Cognitives Marc Jeannerod, CNRS-UMR5229 & Université Lyon 1 Claude Bernard, 67 bd Pinel, F-69 500 BRON, France; Centre ressource pour la réhabilitation psychosociale et la remédiation cognitive, Centre Hospitalier Le Vinatier, 5 rue Jean Sarrazin, F-69 008 Lyon, France.
| | - Caroline Demily
- GénoPsy, Centre de Référence Maladies Rares à Expression Psychiatrique, Centre Hospitalier Le Vinatier, 95 bd Pinel BP300.91, F-69 678 BRON Cedex, France; Equipe EDR-Psy, Institut de Sciences Cognitives Marc Jeannerod, CNRS-UMR5229 & Université Lyon 1 Claude Bernard, 67 bd Pinel, F-69 500 BRON, France.
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Lin AS, Chan HY, Peng YC, Chen WJ. Severity in sustained attention impairment and clozapine-resistant schizophrenia: a retrospective study. BMC Psychiatry 2019; 19:220. [PMID: 31299940 PMCID: PMC6626410 DOI: 10.1186/s12888-019-2204-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 07/04/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Among patients with treatment-resistant schizophrenia (TRS), some exhibited further clozapine resistance (CR). This study aimed to investigate whether greater severity of treatment resistance in schizophrenia is associated with greater impairments in sustained attention. METHODS Patients with a DSM-IV-defined schizophrenia were recruited from a psychiatric center in northern Taiwan (April 2010 to October 2010). Both TRS and CR were determined retrospectively from participants' medical records following the consensus guidelines. The patients were divided into three groups: 102 non-TRS, 48 TRS without CR, and 54 TRS with CR. They underwent both undegraded and degraded Continuous Performance Tests (CPT), and their performance scores (d') were standardized against a community sample to derive age-, sex-, and education-adjusted z scores. RESULTS The TRS with CR group had significantly lower adjusted z scores of d' on both undegraded and degraded CPTs than the other two groups. Meanwhile, the differences between the TRS without CR group and the non-TRS group were not significant. Multivariable linear regression analyses with adjustment for covariates revealed a trend of gradient impairments on the degraded CPT from non-TRS to TRS without CR and to TRS with CR. The proportions of attentional deficits (an adjusted z score of ≤ - 2.5) on the degraded CPT also exhibited a significant trend, from 36.3% in the non-TRS group to 62.5% in the TRS without CR group and to 83.3% in the TRS with CR group. CONCLUSIONS Greater severity of treatment resistance in schizophrenia was associated with greater impairments in sustained attention, indicating some common vulnerability.
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Affiliation(s)
- An-Sheng Lin
- grid.454740.6Department of General Psychiatry, Taoyuan Psychiatric Center, Ministry of Health and Welfare, Taoyuan, Taiwan
| | - Hung-Yu Chan
- grid.454740.6Office of Superintendent, Taoyuan Psychiatric Center, Ministry of Health and Welfare, Taoyuan, Taiwan ,0000 0004 0546 0241grid.19188.39Department of Psychiatry, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ying-Chieh Peng
- grid.454740.6Department of General Psychiatry, Bali Psychiatric Center, Ministry of Health and Welfare, New Taipei City, Taiwan
| | - Wei J. Chen
- 0000 0004 0546 0241grid.19188.39Department of Psychiatry, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan ,0000 0004 0546 0241grid.19188.39Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, 17 Xu-Zhou Road, Taipei, 100 Taiwan
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Rahaman MA, Turner JA, Gupta CN, Rachakonda S, Chen J, Liu J, van Erp TGM, Potkin S, Ford J, Mathalon D, Lee HJ, Jiang W, Mueller BA, Andreassen O, Agartz I, Sponheim SR, Mayer AR, Stephen J, Jung RE, Canive J, Bustillo J, Calhoun VD. N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia. IEEE Trans Biomed Eng 2019; 67:110-121. [PMID: 30946659 PMCID: PMC7906485 DOI: 10.1109/tbme.2019.2908815] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE We propose and develop a novel biclustering (N-BiC) approach for performing N-way biclustering of neuroimaging data. Our approach is applicable to an arbitrary number of features from both imaging and behavioral data (e.g., symptoms). We applied it to structural MRI data from patients with schizophrenia. METHODS It uses a source-based morphometry approach [i.e., independent component analysis of gray matter segmentation maps] to decompose the data into a set of spatial maps, each of which includes regions that covary among individuals. Then, the loading parameters for components of interest are entered to an exhaustive search, which incorporates a modified depth-first search technique to carry out the biclustering, with the goal of obtaining submatrices where the selected rows (individuals) show homogeneity in their expressions of selected columns (components) and vice versa. RESULTS Findings demonstrate that multiple biclusters have an evident association with distinct brain networks for the different types of symptoms in schizophrenia. The study identifies two components: inferior temporal gyrus (16) and brainstem (7), which are related to positive (distortion/excess of normal function) and negative (diminution/loss of normal function) symptoms in schizophrenia, respectively. CONCLUSION N-BiC is a data-driven method of biclustering MRI data that can exhaustively explore relationships/substructures from a dataset without any prior information with a higher degree of robustness than earlier biclustering applications. SIGNIFICANCE The use of such approaches is important to investigate the underlying biological substrates of mental illness by grouping patients into homogeneous subjects, as the schizophrenia diagnosis is known to be relatively nonspecific and heterogeneous.
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Abstract
Schizophrenia (SZ) is a severe psychotic disorder that is highly heritable and common in the general population. The genetic heterogeneity of SZ is substantial, with contributions from common, rare, and de novo variants, in addition to environmental factors. Large genome-wide association studies have detected many variants that are associated with SZ, yet the pathways by which these variants influence risk remain largely unknown. SZ is also clinically heterogeneous, with patients exhibiting a broad range of deficits and symptom severity that vary over the course of illness and treatment, which has complicated efforts to identify risk variants. However, the underlying brain dysfunction forms a more stable trait marker that quantitative neurocognitive and neurophysiological endophenotypes may be able to objectively measure. These endophenotypes are less likely to be heterogeneous than the disorder and provide a neurobiological context to detect risk variants and underlying pathways among genes associated with SZ diagnosis. Furthermore, many endophenotypes are translational into animal model systems, allowing for direct evaluation of the neural circuit dysfunctions and neurobiological substrates. We review a selection of the most promising SZ endophenotypes, including prepulse inhibition, mismatch negativity, oculomotor antisaccade, letter-number sequencing, and continuous performance tests. We also highlight recent findings from large consortia that suggest the potential role of genes, particularly in the neuregulin and glutamate pathways, in several of these endophenotypes. Although endophenotypes require additional time and effort to assess, the insight into the underlying neurobiology that they provide may ultimately reveal the underlying genetic architecture for SZ and suggest novel treatment targets.
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42
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Klaus K, Butler K, Curtis F, Bridle C, Pennington K. The effect of ANKK1 Taq1A and DRD2 C957T polymorphisms on executive function: A systematic review and meta-analysis. Neurosci Biobehav Rev 2019; 100:224-236. [PMID: 30836122 DOI: 10.1016/j.neubiorev.2019.01.021] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 01/14/2019] [Accepted: 01/21/2019] [Indexed: 12/25/2022]
Abstract
Research in healthy adults suggests that C957T polymorphism of the dopamine D2 receptor encoding DRD2 and the Taq1A polymorphism of the neighbouring gene ankyrin repeat and kinase domain containing 1 (ANKK1) alter dopaminergic signalling and may influence prefrontally-mediated executive functions. A systematic review and meta-analysis was carried out on the evidence for the association of DRD2 C957T and ANKK1 Taq1A polymorphisms in performance on tasks relating to the three core domains of executive function: working memory, response inhibition and cognitive flexibility in healthy adults. CINAHL, MEDLINE, PsycARTICLES and PsychINFO databases were searched for predefined key search terms associated with the two polymorphisms and executive function. Studies were included if they investigated a healthy adult population with the mean age of 18-65 years, no psychiatric or neurological disorder and only the healthy adult arm were included in studies with any case-control design. Data from 17 independent studies were included in meta-analysis, separated by the Taq1A and C957T polymorphisms and by executive function tests: working memory (Taq1A, 6 samples, n = 1270; C957 T, 6 samples, n = 977), cognitive flexibility (C957 T, 3 samples, n = 620), and response inhibition (C957 T, 3 samples, n = 598). The meta-analyses did not establish significant associations between these gene polymorphisms of interest and any of the executive function domains. Theoretical implications and methodological considerations of these findings are discussed.
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Affiliation(s)
- Kristel Klaus
- School of Psychology, University of Lincoln, Brayford Wharf, Lincoln, LN5 7AT, UK
| | - Kevin Butler
- School of Psychology, University of Lincoln, Brayford Wharf, Lincoln, LN5 7AT, UK
| | - Ffion Curtis
- Lincoln Institute for Health, University of Lincoln, Brayford Pool, Lincoln, LN6 7TS, UK
| | - Chris Bridle
- Lincoln Institute for Health, University of Lincoln, Brayford Pool, Lincoln, LN6 7TS, UK
| | - Kyla Pennington
- School of Psychology, University of Lincoln, Brayford Wharf, Lincoln, LN5 7AT, UK.
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43
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Zouraraki C, Karagiannopoulou L, Karamaouna P, Pallis EG, Giakoumaki SG. Schizotypal traits, neurocognition, and paternal age in unaffected first degree relatives of patients with familial or sporadic schizophrenia. Psychiatry Res 2019; 273:422-429. [PMID: 30684787 DOI: 10.1016/j.psychres.2018.12.142] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 12/27/2018] [Accepted: 12/28/2018] [Indexed: 10/27/2022]
Abstract
Studies comparing cognitive processes between familial and sporadic schizophrenia have yielded inconsistent findings. In this study we examined differences in neurocognition and schizotypal traits in unaffected relatives of schizophrenia-spectrum patients with either the familial (multiplex) or the sporadic (simplex) subtype of the disorder, taking paternal age at birth into consideration. Simplex (n = 65; SR), multiplex (n = 35; MR) relatives and controls (n = 114) were compared on several cognitive functions and schizotypal traits; between-group differences were evaluated with and without including paternal age in the analyses. SR and MR had higher negative and paranoid traits compared with controls, but paternal age abolished the differences between the SR and control groups. When taking into account schizotypal traits and participants' age, controls outperformed MR in strategy formation and set-shifting and SR in psychomotor speed, set-shifting and executive working memory. After including paternal age in the analyses, controls outperformed MR in strategy formation, working memory and executive working memory and both groups in psychomotor speed and set-shifting. These findings suggest that multiplex relatives present with a "riskier" personality and cognitive profile when considering the effects of paternal age. Nevertheless, simplex relatives are impaired in fundamental cognitive processes, thus highlighting the detrimental effects of paternal age on neurocognition.
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Affiliation(s)
- Chrysoula Zouraraki
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece.
| | - Leda Karagiannopoulou
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece
| | - Penny Karamaouna
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece
| | - Eleftherios G Pallis
- Department of Medicine, School of Health Sciences, National and Kapodistrian University of Athens, Athens 11527, Greece
| | - Stella G Giakoumaki
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece
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44
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Hartman LI, Heinrichs RW, Mashhadi F. The continuing story of schizophrenia and schizoaffective disorder: One condition or two? SCHIZOPHRENIA RESEARCH-COGNITION 2019; 16:36-42. [PMID: 30792965 PMCID: PMC6370594 DOI: 10.1016/j.scog.2019.01.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 01/21/2019] [Accepted: 01/22/2019] [Indexed: 01/03/2023]
Abstract
Although schizophrenia and schizoaffective disorder remain separable in diagnostic systems, the validity of the distinction is uncertain. This study asked whether schizophrenia and schizoaffective disorder are distinguishable on selected cognitive, social cognitive and structural social brain measures. Outpatients with a diagnosis of schizophrenia (n = 44) or schizoaffective disorder (n = 29) and non-psychiatric control participants (n = 62) were studied. Patients were assessed clinically (Positive and Negative Syndrome Scale) and all participants were administered a battery of cognitive (MATRICS Consensus Cognitive Battery; Wechsler Abbreviated Scale of Intelligence, Wide Range Achievement Reading) and social cognitive (Reading the Mind in the Eyes, Mayer-Salovey-Caruso Emotional Intelligence Test; MSCEIT) tasks. In addition, participants underwent structural magnetic resonance imaging (MRI) to yield cortical thickness data for 42 regions associated with the social brain network. Results showed no significant differences between patient groups on 17/18 cognitive/social cognitive and social brain cortical thickness measures. In contrast, schizophrenia and schizoaffective disorder patients differed from controls on 16/18 and 11/18 measures respectively. Schizoaffective disorder patients outperformed schizophrenia patients on an emotion regulation task (MSCEIT). Schizophrenia and schizoaffective disorder are largely indistinguishable on key cognitive, social cognitive and neural measures. The continuing separation of these syndromes in diagnostic systems and disease models requires is questionable and requires further attention.
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Affiliation(s)
- Leah I Hartman
- Department of Psychology, York University, 4700 Keele Street, Toronto, Ontario M3J1P3, Canada
| | - R Walter Heinrichs
- Department of Psychology, York University, 4700 Keele Street, Toronto, Ontario M3J1P3, Canada
| | - Farzaneh Mashhadi
- Department of Psychology, York University, 4700 Keele Street, Toronto, Ontario M3J1P3, Canada
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45
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Relationship between Alzheimer's disease-associated SNPs within the CLU gene, local DNA methylation and episodic verbal memory in healthy and schizophrenia subjects. Psychiatry Res 2019; 272:380-386. [PMID: 30599442 DOI: 10.1016/j.psychres.2018.12.134] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 10/16/2018] [Accepted: 12/24/2018] [Indexed: 11/24/2022]
Abstract
Genetic variation may impact on local DNA methylation patterns. Therefore, information about allele-specific DNA methylation (ASM) within disease-related loci has been proposed to be useful for the interpretation of GWAS results. To explore mechanisms that may underlie associations between Alzheimer's disease (AD) and schizophrenia risk CLU gene and verbal memory, one of the most affected cognitive domains in both conditions, we studied DNA methylation in a region between AD-associated SNPs rs9331888 and rs9331896 in 72 healthy individuals and 73 schizophrenia patients. Using single-molecule real-time bisulfite sequencing we assessed the haplotype-dependent ASM in this region. We then investigated whether its methylation could influence episodic verbal memory measured with the Rey Auditory Verbal Learning Test in these two cohorts. The region showed a complex methylation pattern, which was similar in healthy and schizophrenia individuals and unrelated to haplotypes. The pattern predicted memory scores in controls. The results suggest that epigenetic modifications within the CLU locus may play a role in memory variation, independent of ASM.
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46
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Lin SZ, Wu YK, Su YA, Si TM. Prospective memory in non-psychotic first-degree relatives of patients with schizophrenia: a meta-analysis. Neuropsychiatr Dis Treat 2019; 15:1563-1571. [PMID: 31289442 PMCID: PMC6565992 DOI: 10.2147/ndt.s203729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 05/04/2019] [Indexed: 12/16/2022] Open
Abstract
Prospective memory (PM) could be impaired in the non-psychotic first-degree relatives of patients with schizophrenia. This meta-analysis systematically examined the PM of non-psychotic first-degree relatives of patients with schizophrenia. Both Chinese and English databases were systematically searched for articles from the inception of the databases through November 13, 2018. Case-control studies of PM in non-psychotic first-degree relatives of patients with schizophrenia were included in the analyses. Confidence intervals (CIs) and standardized mean differences (SMDs) were calculated utilizing the random effects model. Four studies (n=268) that compared PM performance between non-psychotic first-degree relatives of patients with schizophrenia (n=136) and healthy controls (n=132) were included. Three studies were rated as "high quality", while the quality of evidence of the three outcomes included in this meta-analysis was moderate. Compared with the healthy controls, the non-psychotic first-degree relatives of patients with schizophrenia showed impairments in overall PM (two studies, n=127; SMD: -0.46; 95% CI=-0.82, -0.11, P=0.01; I=0%), event-based PM (EBPM) (four studies, n=268; SMD: -0.56; 95% CI=-0.80, -0.31, P<0.00001; I=0%), and time-based PM (TBPM) (four studies, n=268; SMD: -0.66; 95% CI=-0.90, -0.41, P<0.00001; I=0%). This meta-analysis demonstrated that the overall PM, EBPM, and TBPM might be impaired in the non-psychotic first-degree relatives of patients with schizophrenia.
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Affiliation(s)
- Shi-Ze Lin
- Quanzhou Mental Health Center, The Third Hospital of Quanzhou, Quanzhou, Fujian Province, People's Republic of China.,Institute of Mental Health, Peking University Sixth Hospital, Beijing, People's Republic of China
| | - Yan-Kun Wu
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, People's Republic of China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, People's Republic of China.,NHC Key Laboratory of Mental Health, Peking University, Beijing, People's Republic of China
| | - Yun-Ai Su
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, People's Republic of China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, People's Republic of China.,NHC Key Laboratory of Mental Health, Peking University, Beijing, People's Republic of China
| | - Tian-Mei Si
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, People's Republic of China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, People's Republic of China.,NHC Key Laboratory of Mental Health, Peking University, Beijing, People's Republic of China
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47
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Sengupta SM, Fotopoulos N, Devenyi GA, Fortier MÈ, Ter-Stepanian M, Sagliker S, Karama S, Mallar Chakravarty M, Labbe A, Grizenko N, Joober R. Dissecting genetic cross-talk between ADHD and other neurodevelopmental disorders: Evidence from behavioural, pharmacological and brain imaging investigations. Psychiatry Res 2018; 269:652-657. [PMID: 30216917 DOI: 10.1016/j.psychres.2018.08.080] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 08/01/2018] [Accepted: 08/21/2018] [Indexed: 12/31/2022]
Abstract
Several epidemiological and genetic studies have provided evidence of an overlap between neurodevelopmental disorders. However, the details of the etiological pathways remain to be elucidated. In this study, we garnered the findings of previous GWAS, conducted with schizophrenia and bipolar disorder. We conducted an exploratory study to examine the association between these SNPs and quantitative clinical/ behavioural/ cognitive/ structural brain parameters, as well as response to treatment with a fixed dose of methylphenidate, in a relatively large sample of children with ADHD. Family-based association tests were conducted with nine tag SNPs with 602 nuclear families. In addition, structural magnetic resonance imaging (sMRI) was conducted in a subset of children with ADHD (n = 76). Of the 9 tag SNPs examined, rs1602565 showed a significant association with ADHD, several dimensional measures and response to treatment. An association was also observed between rs1006737 (CACNA1C) and performance IQ. In addition, significant reductions in cortical thickness measurements were observed with the risk allele in rs1006737. These results provide preliminary evidence for putative shared genetic vulnerability between childhood ADHD and other neurodevelopmental disorders.
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Affiliation(s)
- Sarojini M Sengupta
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
| | - Nellie Fotopoulos
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Gabriel A Devenyi
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Marie-Ève Fortier
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada
| | - Marina Ter-Stepanian
- Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada; Départment de Psychoéducation, Université de Sherbrooke, Canada
| | - Saba Sagliker
- Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Sherif Karama
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - M Mallar Chakravarty
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Aurelie Labbe
- Department of Decision Sciences, HEC Montreal, Montreal, Quebec, Canada
| | - Natalie Grizenko
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Human Genetics, McGill University, Montreal, Quebec, Canada; Department of Neurology and Neurosurgery, McGill University, Canada
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48
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Ballesteros A, Sánchez-Torres AM, López-Ilundain JM, Cabrera B, Lobo A, González-Pinto AM, Díaz-Caneja C, Corripio I, Vieta E, de la Serna E, Bobes J, Usall J, Contreras F, Lorente-Omeñaca R, Mezquida G, Bernardo M, Cuesta MJ. Is cognitive impairment associated with antipsychotic dose and anticholinergic equivalent loads in first-episode psychosis? Psychol Med 2018; 48:2247-2256. [PMID: 29331153 DOI: 10.1017/s0033291717003774] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Cognitive deficits are a core feature of early stages in schizophrenia. However, the extent to which antipsychotic (AP) have a deleterious effect on cognitive performance remains under debate. We aim to investigate whether anticholinergic loadings and dose of AP drugs in first episode of psychosis (FEP) in advanced phase of remission are associated with cognitive impairment and the differences between premorbid intellectual quotient (IQ) subgroups. METHODS Two hundred and sixty-six patients participated. The primary outcomes were cognitive dimensions, dopaminergic/anticholinergic load of AP [in chlorpromazine equivalents (Eq-CPZ) and the Anticholinergic Risk Scale (ARS), respectively]. RESULTS Impairments in processing speed, verbal memory and global cognition were significantly associated with high Eq-CPZ and verbal impairment with high ARS score. Moreover, this effect was higher in the low IQ subgroup. CONCLUSIONS Clinicians should be aware of the potential cognitive impairment associated with AP in advanced remission FEP, particularly in lower premorbid IQ patients.
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Affiliation(s)
| | | | | | - Bibiana Cabrera
- Barcelona Clínic Schizophrenia Unit,Neuroscience Institute,Hospital Clínic de Barcelona,Barcelona,Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry,University of Zaragoza. Aragon Institute for Health Research (IIS Aragon),Zaragoza,Spain
| | | | | | - Iluminada Corripio
- Network Centre for Biomedical Research in Mental Health (CIBERSAM),Madrid,Spain
| | - Eduard Vieta
- Network Centre for Biomedical Research in Mental Health (CIBERSAM),Madrid,Spain
| | - Elena de la Serna
- Network Centre for Biomedical Research in Mental Health (CIBERSAM),Madrid,Spain
| | - Julio Bobes
- Network Centre for Biomedical Research in Mental Health (CIBERSAM),Madrid,Spain
| | - Judith Usall
- Network Centre for Biomedical Research in Mental Health (CIBERSAM),Madrid,Spain
| | - Fernando Contreras
- Network Centre for Biomedical Research in Mental Health (CIBERSAM),Madrid,Spain
| | | | - Gisela Mezquida
- Barcelona Clínic Schizophrenia Unit,Neuroscience Institute,Hospital Clínic de Barcelona,Barcelona,Spain
| | - Miguel Bernardo
- Barcelona Clínic Schizophrenia Unit,Neuroscience Institute,Hospital Clínic de Barcelona,Barcelona,Spain
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49
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Docherty AR, Fonseca-Pedrero E, Debbané M, Chan RCK, Linscott RJ, Jonas KG, Cicero DC, Green MJ, Simms LJ, Mason O, Watson D, Ettinger U, Waszczuk M, Rapp A, Grant P, Kotov R, DeYoung CG, Ruggero CJ, Eaton NR, Krueger RF, Patrick C, Hopwood C, O’Neill FA, Zald DH, Conway CC, Adkins DE, Waldman ID, van Os J, Sullivan PF, Anderson JS, Shabalin AA, Sponheim SR, Taylor SF, Grazioplene RG, Bacanu SA, Bigdeli TB, Haenschel C, Malaspina D, Gooding DC, Nicodemus K, Schultze-Lutter F, Barrantes-Vidal N, Mohr C, Carpenter WT, Cohen AS. Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative. Schizophr Bull 2018; 44:S460-S467. [PMID: 29788473 PMCID: PMC6188505 DOI: 10.1093/schbul/sby059] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The latent structure of schizotypy and psychosis-spectrum symptoms remains poorly understood. Furthermore, molecular genetic substrates are poorly defined, largely due to the substantial resources required to collect rich phenotypic data across diverse populations. Sample sizes of phenotypic studies are often insufficient for advanced structural equation modeling approaches. In the last 50 years, efforts in both psychiatry and psychological science have moved toward (1) a dimensional model of psychopathology (eg, the current Hierarchical Taxonomy of Psychopathology [HiTOP] initiative), (2) an integration of methods and measures across traits and units of analysis (eg, the RDoC initiative), and (3) powerful, impactful study designs maximizing sample size to detect subtle genomic variation relating to complex traits (the Psychiatric Genomics Consortium [PGC]). These movements are important to the future study of the psychosis spectrum, and to resolving heterogeneity with respect to instrument and population. The International Consortium of Schizotypy Research is composed of over 40 laboratories in 12 countries, and to date, members have compiled a body of schizotypy- and psychosis-related phenotype data from more than 30000 individuals. It has become apparent that compiling data into a protected, relational database and crowdsourcing analytic and data science expertise will result in significant enhancement of current research on the structure and biological substrates of the psychosis spectrum. The authors present a data-sharing infrastructure similar to that of the PGC, and a resource-sharing infrastructure similar to that of HiTOP. This report details the rationale and benefits of the phenotypic data collective and presents an open invitation for participation.
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Affiliation(s)
- Anna R Docherty
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT,Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA,Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA,To whom correspondence should be addressed; Department of Psychiatry, University of Utah School of Medicine, 501 Chipeta Way, Salt Lake City, UT 84110, US; tel: +1-801-213-6905, fax: +1-801-581-7109, e-mail:
| | | | - Martin Debbané
- Research Department of Clinical, Educational, and Health Psychology, University College London, London, UK,Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China,Department of Psychology, Chinese Academy of Sciences, Beijing, China
| | | | - Katherine G Jonas
- Department of Psychiatry, Stony Brook School of Medicine, Stony Brook, NY
| | - David C Cicero
- Department of Psychology, University of Hawaii at Manoa, Honolulu, HI
| | - Melissa J Green
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Leonard J Simms
- Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY
| | - Oliver Mason
- Department of Psychology, University of Surrey, Guildford, UK
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN
| | | | - Monika Waszczuk
- Department of Psychiatry, Stony Brook School of Medicine, Stony Brook, NY
| | - Alexander Rapp
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Phillip Grant
- Department of Psychology, Justus-Liebig-University Giessen, Giessen, Germany,Technische Hochschule Mittelhessen, University of Applied Sciences, Giessen, Germany
| | - Roman Kotov
- Department of Psychiatry, Stony Brook School of Medicine, Stony Brook, NY
| | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | | | - Nicolas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | | | | | - F Anthony O’Neill
- Centre for Public Health, Institute of Clinical Sciences, Queen’s University Belfast, Belfast, UK
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, TN,Department of Psychiatry, Vanderbilt University, Nashville, TN
| | | | - Daniel E Adkins
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT,Department of Sociology, University of Utah, Salt Lake City, UT
| | | | - Jim van Os
- Department of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, The Netherlands,King’s Health Partners, Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK,Department of Psychiatry, Brain Center Rudolf Magnus Institute, University Medical Center, Utrecht, The Netherlands
| | - Patrick F Sullivan
- Department of Psychiatry, University of North Carolina—Chapel Hill, Chapel Hill, NC,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - John S Anderson
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT
| | - Andrey A Shabalin
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT
| | - Scott R Sponheim
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | | | | | - Silviu A Bacanu
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA
| | - Tim B Bigdeli
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA,Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, UK
| | | | - Dolores Malaspina
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, New York, NY
| | - Diane C Gooding
- Department of Psychology, University of Wisconsin—Madison, Madison, WI
| | - Kristin Nicodemus
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Heinrich-Heine University, Dusseldorf, Germany
| | - Neus Barrantes-Vidal
- Department of Clinical Psychology, Universitat Autònoma de Barcelona, Barcelona, Spain,Centre for Biomedical Research, University of North Carolina at Greensboro, Greensboro, NC,Sant Pere Claver—Fundació Sanitària, Barcelona, Spain
| | - Christine Mohr
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
| | - William T Carpenter
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Alex S Cohen
- Department of Psychology, Louisiana State University, Baton Rouge, LA
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50
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Gagnon G, Kumar S, Maltais JR, Voineskos AN, Mulsant BH, Rajji TK. Superior memory performance in healthy individuals with subclinical psychotic symptoms but without genetic load for schizophrenia. SCHIZOPHRENIA RESEARCH-COGNITION 2018; 13:7-11. [PMID: 30105212 PMCID: PMC6085406 DOI: 10.1016/j.scog.2018.06.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 06/20/2018] [Accepted: 06/21/2018] [Indexed: 10/28/2022]
Affiliation(s)
- G Gagnon
- Department of Psychology, McGill University, Montreal, Canada.,McGill University Research Centre for Studies in Aging, McGill University, Montreal, Canada
| | - S Kumar
- Geriatric and Adult Neurodevelopmental Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - J-R Maltais
- Department of Psychiatry, University of Sherbrooke, Sherbrooke, Canada
| | - A N Voineskos
- Geriatric and Adult Neurodevelopmental Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - B H Mulsant
- Geriatric and Adult Neurodevelopmental Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - T K Rajji
- Geriatric and Adult Neurodevelopmental Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
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