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Dong D, Wang Y, Zhou F, Chang X, Qiu J, Feng T, He Q, Lei X, Chen H. Functional Connectome Hierarchy in Schizotypy and Its Associations With Expression of Schizophrenia-Related Genes. Schizophr Bull 2024; 51:145-158. [PMID: 38156676 PMCID: PMC11661955 DOI: 10.1093/schbul/sbad179] [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: 01/03/2024]
Abstract
BACKGROUND AND HYPOTHESIS Schizotypy has been conceptualized as a continuum of symptoms with marked genetic, neurobiological, and sensory-cognitive overlaps to schizophrenia. Hierarchical organization represents a general organizing principle for both the cortical connectome supporting sensation-to-cognition continuum and gene expression variability across the cortex. However, a mapping of connectome hierarchy to schizotypy remains to be established. Importantly, the underlying changes of the cortical connectome hierarchy that mechanistically link gene expressions to schizotypy are unclear. STUDY DESIGN The present study applied novel connectome gradient on resting-state fMRI data from 1013 healthy young adults to investigate schizotypy-associated sensorimotor-to-transmodal connectome hierarchy and assessed its similarity with the connectome hierarchy of schizophrenia. Furthermore, normative and differential postmortem gene expression data were utilized to examine transcriptional profiles linked to schizotypy-associated connectome hierarchy. STUDY RESULTS We found that schizotypy was associated with a compressed functional connectome hierarchy. Moreover, the pattern of schizotypy-related hierarchy exhibited a positive correlation with the connectome hierarchy observed in schizophrenia. This pattern was closely colocated with the expression of schizophrenia-related genes, with the correlated genes being enriched in transsynaptic, receptor signaling and calcium ion binding. CONCLUSIONS The compressed connectome hierarchy suggests diminished functional system differentiation, providing a novel and holistic system-level basis for various sensory-cognition deficits in schizotypy. Importantly, its linkage with schizophrenia-altered hierarchy and schizophrenia-related gene expression yields new insights into the neurobiological continuum of psychosis. It also provides mechanistic insight into how gene variation may drive alterations in functional hierarchy, mediating biological vulnerability of schizotypy to schizophrenia.
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Affiliation(s)
- Debo Dong
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Yulin Wang
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
| | - Feng Zhou
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Xuebin Chang
- Department of Information Sciences, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Chongqing, China
| | - Tingyong Feng
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing, China
| | - Qinghua He
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Chongqing, China
| | - Xu Lei
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing, China
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Wang LL, Lui SS, Chan RC. Neuropsychology and Neurobiology of Negative Schizotypy: A Selective Review. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:100317. [PMID: 38711865 PMCID: PMC11070600 DOI: 10.1016/j.bpsgos.2024.100317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/09/2024] [Accepted: 04/01/2024] [Indexed: 05/08/2024] Open
Abstract
Schizotypy refers to a latent personality organization that reflects liability to schizophrenia. Because schizotypy is a multidimensional construct, people with schizotypy vary in behavioral and neurobiological features. In this article, we selectively review the neuropsychological and neurobiological profiles of people with schizotypy, with a focus on negative schizotypy. Empirical evidence is presented for alterations of neuropsychological performance in negative schizotypy. We also cover the Research Domain Criteria domains of positive valence, social process, and sensorimotor systems. Moreover, we systematically summarize the neurobiological correlates of negative schizotypy at the structural, resting-state, and task-based neural levels, as well as the neurochemical level. The convergence and inconsistency of the evidence are critically reviewed. Regarding theoretical and clinical implications, we argue that negative schizotypy represents a useful organizational framework for studying neuropsychology and neurobiology across different psychiatric disorders.
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Affiliation(s)
- Ling-ling Wang
- School of Psychology, Shanghai Normal University, Shanghai, China
| | - Simon S.Y. Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - 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, University of Chinese Academy of Sciences, Beijing, China
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Cengisiz C, Misir E. Dimensional characteristics of persistent negative symptoms in schizophrenia and their relationships with schizotypy in first-degree relatives. Nord J Psychiatry 2023; 77:737-746. [PMID: 37646862 DOI: 10.1080/08039488.2023.2250777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/10/2023] [Accepted: 08/17/2023] [Indexed: 09/01/2023]
Abstract
PURPOSE OF THE ARTICLE Schizophrenia with persistent negative symptoms (PNS) may have different characteristics regarding negative symptom dimensions and heritability patterns. This study aimed to investigate the dimensional characteristics of PNS and their relationships with schizotypal features in first-degree relatives (FDRs). MATERIALS AND METHODS The study included 142 patients, 142 FDRs, and 71 healthy controls (HC). Patients were evaluated with the Positive and Negative Symptom Scale (PANSS), Brief Negative Symptom Scale (BNSS), Calgary Depression Scale for Schizophrenia (CDSS), and Simpson-Angus Scale (SAS). Schizotypy Personality Questionnaire was applied to FDR and HC groups. Clinical symptoms were compared between primary-PNS, secondary-PNS, and non-PNS groups. In addition, schizotypy scores were compared between FDRs and HCs. Then, the relationship between the symptoms of the patients in the PNS group and the schizotypy scores of their relatives was evaluated by multiple regression analysis. RESULTS All negative symptom dimension scores were similar in primary-PNS and secondary-PNS and lowest in non-PNS. PNS-FDR had higher in all schizotypy scores than non-PNS-FDR and HC, except for lack of close friends and social anxiety. In the PNS group, positive symptom severity and PANSS experiential deficit scores significantly predicted positive and negative schizotypy scores in relatives. Negative schizotypy was associated with asociality. CONCLUSIONS The PNS is likely a subtype in which the genetic basis of negative symptoms is stronger and is associated with genetic abnormalities shared by positive and negative schizotypy dimensions in relatives. Family-based genetic studies will be beneficial in enlightening the genetic etiology of PNS.
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Affiliation(s)
- Cengiz Cengisiz
- Manisa Mental Health and Diseases Hospital, Psychiatry Clinic, Manisa, Turkey
| | - Emre Misir
- Department of Psychiatry, Baskent University Faculty of Medicine, Ankara, Turkey
- Department of Interdisciplinary Neuroscience, Ankara University, Ankara, Turkey
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Balachander S, Thatikonda NS, Kannampuzha AJ, Bhattacharya M, Sheth S, Ramesh V, Chandy Alexander A, Muthukumaran M, Joseph MS, Selvaraj S, Ithal D, Sreeraj VS, John JP, Venkatasubramanian G, Viswanath B, Reddy YJ, Jain S. Familial risk of psychosis in obsessive-compulsive disorder: Impact on clinical characteristics, comorbidity and treatment response. J Psychiatr Res 2022; 156:557-563. [PMID: 36368245 PMCID: PMC7615106 DOI: 10.1016/j.jpsychires.2022.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/12/2022] [Accepted: 10/03/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Family studies in obsessive-compulsive disorder (OCD) indicate higher rates of psychosis among their first-degree relatives (FDRs). However, the etiological and clinical relationships between the two disorders remain unclear. We compared the clinical characteristics and pharmacological treatment response in patients diagnosed with OCD with a family history of psychosis (OCD-FHP), with a family history of OCD (OCD-FHO) and those with sporadic OCD (OCD-S). METHODS A total of 226 patients who met DSM-IV criteria for OCD (OCD-FHP = 59, OCD-FHO = 112, OCD-S = 55) were included for analysis. All patients were evaluated using the Mini International Neuropsychiatric Interview (MINI 6.0.0), Yale-Brown Obsessive-Compulsive Scale (YBOCS), and the Family Interview for Genetic Studies (FIGS). Treatment response was characterized over naturalistic follow-up. RESULTS The three groups did not differ across any demographic or clinical variables other than treatment response. Patients in the OCD-FHP group were found to have received a greater number of trials with serotonin reuptake inhibitors (SRI) [F (2,223) = 7.99, p < 0.001], were more likely to have failed ≥2 trials of SRIs (χ2 = 8.45, p = 0.014), and less likely to have attained remission (χ2 = 6.57, p = 0.037) CONCLUSIONS: We observed that having a relative with psychosis may predispose to treatment resistance in OCD. Further research on the influence of genetic liability to psychosis on treatment response in OCD may offer novel translational leads.
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Affiliation(s)
- Srinivas Balachander
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India; OCD Clinic, Department of Psychiatry, NIMHANS, Bangalore, Karnataka, India.
| | - Navya Spurthi Thatikonda
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India; OCD Clinic, Department of Psychiatry, NIMHANS, Bangalore, Karnataka, India
| | - Anand Jose Kannampuzha
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India; OCD Clinic, Department of Psychiatry, NIMHANS, Bangalore, Karnataka, India
| | - Mahashweta Bhattacharya
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India; OCD Clinic, Department of Psychiatry, NIMHANS, Bangalore, Karnataka, India; Department of Clinical Psychology, NIMHANS, Bangalore, Karnataka, India
| | - Sweta Sheth
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
| | - Vinutha Ramesh
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
| | - Alen Chandy Alexander
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
| | - Moorthy Muthukumaran
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India; Department of Psychiatric Social Work, Bangalore, Karnataka, India
| | - Mino Susan Joseph
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
| | - Sowmya Selvaraj
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
| | - Dhruva Ithal
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
| | - Vanteemar S Sreeraj
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India; OCD Clinic, Department of Psychiatry, NIMHANS, Bangalore, Karnataka, India
| | - John P John
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
| | - Ganesan Venkatasubramanian
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
| | - Biju Viswanath
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India; OCD Clinic, Department of Psychiatry, NIMHANS, Bangalore, Karnataka, India
| | - Yc Janardhan Reddy
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India; OCD Clinic, Department of Psychiatry, NIMHANS, Bangalore, Karnataka, India
| | - Sanjeev Jain
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
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Mallet J, Godin O, Mazer N, Le Strat Y, Bellivier F, Belzeaux R, Etain B, Fond G, Gard S, Henry C, Leboyer M, Llorca PM, Loftus J, Olié E, Passerieux C, Polosan M, Schwan R, Roux P, Dubertret C. Handedness in bipolar disorders is associated with specific neurodevelopmental features: results of the BD-FACE cohort. Eur Arch Psychiatry Clin Neurosci 2022; 272:827-838. [PMID: 34374842 DOI: 10.1007/s00406-021-01314-3] [Citation(s) in RCA: 3] [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] [Received: 01/19/2021] [Accepted: 07/26/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVES High rates of non-right-handedness (NRH) and mixed-handedness exist in neurodevelopmental disorders. Dysfunctional neurodevelopmental pathways may be implicated in the underlying pathophysiology of bipolar disorders (BD), at least in some subgroups. Yet little is known about correlates of NRH and mixed-handedness in BD. The objectives of this national study are to determine (i) the prevalence of NRH and mixed-handedness in a well-stabilized sample of BD individuals; (ii) if NRH/mixed-handedness in BD is associated with a different clinical, biological and neurocognitive profile. METHODS We included 2174 stabilized individuals. Participants were tested with a comprehensive battery of neuropsychological tests. Handedness was assessed using a single oral question. Learning and/or language disorders and obstetrical complications were recorded using childhood records. Common environmental, clinical and biological parameters were assessed. RESULTS The prevalence of NRH and mixed-handedness were, respectively, 11.6 and 2.4%. Learning/language disorders were found in 9.7% out of the total sample and were associated with atypical handedness (only dyslexia for mixed-handedness (p < 0.01), and dyslexia and dysphasia for NRH (p = 0.01 and p = 0.04, respectively). In multivariate analyses, NRH was associated with a younger age of BD onset (aOR 0.98 (95% CI 0.96-0.99) and lifetime substance use disorder (aOR 1.40 (95% CI 1.03-1.82) but not with any of the cognitive subtasks. Mixed-handedness was associated in univariate analyses with lifetime substance use disorder, lifetime cannabis use disorder (all p < 0.01) and less mood stabilizer prescription (p = 0.028). No association was found between NRH or mixed-handedness and the following parameters: trauma history, obstetrical complications, prior psychotic symptoms, bipolar subtype, attention deficit/hyperactivity disorder, peripheral inflammation or body mass index. CONCLUSIONS Handedness may be associated with specific features in BD, possibly reflecting a specific subgroup with a neurodevelopmental load.
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Affiliation(s)
- Jasmina Mallet
- Fondation Fondamental, Créteil, France.
- Faculté de médecine, AP-HP, Department of Psychiatry, Université de Paris, Louis Mourier Hospital, CHU Louis Mourier, 178 rue des Renouillers, 92700, Colombes, France.
- INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, University Paris Descartes, Paris, France.
| | - Ophélia Godin
- Fondation Fondamental, Créteil, France
- UMR_S955, UPEC, Créteil, France Inserm, Université Paris-Est, U955, Equipe 15 Psychiatrie génétique, Créteil, France
- AP-HP, Hôpital H. Mondor-A. Chenevier, Pôle de psychiatrie, Créteil, France
| | - Nicolas Mazer
- Fondation Fondamental, Créteil, France
- Faculté de médecine, AP-HP, Department of Psychiatry, Université de Paris, Louis Mourier Hospital, CHU Louis Mourier, 178 rue des Renouillers, 92700, Colombes, France
- INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, University Paris Descartes, Paris, France
| | - Yann Le Strat
- Fondation Fondamental, Créteil, France
- Faculté de médecine, AP-HP, Department of Psychiatry, Université de Paris, Louis Mourier Hospital, CHU Louis Mourier, 178 rue des Renouillers, 92700, Colombes, France
- INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, University Paris Descartes, Paris, France
| | - Frank Bellivier
- Fondation Fondamental, Créteil, France
- AP-HP, GH Saint-Louis-Lariboisière-Fernand Widal, Pôle Neurosciences Tête et Cou, INSERM UMRS 1144, University Paris Diderot, Paris, France
| | - Raoul Belzeaux
- Fondation Fondamental, Créteil, France
- AP-HM, Department of Psychiatry, Marseille, France
- INT-UMR7289, CNRS Aix Marseille University, Marseille, France
| | - Bruno Etain
- Fondation Fondamental, Créteil, France
- AP-HP, GH Saint-Louis-Lariboisière-Fernand Widal, Pôle Neurosciences Tête et Cou, INSERM UMRS 1144, University Paris Diderot, Paris, France
| | - Guillaume Fond
- Fondation Fondamental, Créteil, France
- AP-HM, Aix-Marseille University, School of Medicine-La Timone Medical Campus, EA 3279: CEReSS-Health Service Research and Quality of Life Center, 27 Boulevard Jean Moulin, 13005, Marseille, France
| | - Sébastien Gard
- Fondation Fondamental, Créteil, France
- Centre Expert Troubles Bipolaires, Service de Psychiatrie Adulte, Hôpital Charles-Perrens, Bordeaux, France
| | - Chantal Henry
- Fondation Fondamental, Créteil, France
- Department of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie and Neurosciences, 75014, Paris, France
| | - Marion Leboyer
- Fondation Fondamental, Créteil, France
- UMR_S955, UPEC, Créteil, France Inserm, Université Paris-Est, U955, Equipe 15 Psychiatrie génétique, Créteil, France
- AP-HP, Hôpital H. Mondor-A. Chenevier, Pôle de psychiatrie, Créteil, France
- Fondation de Cooperation Scientifique, Fondation FondaMental, Créteil, France
| | - Pierre-Michel Llorca
- Fondation Fondamental, Créteil, France
- CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Joséphine Loftus
- Fondation Fondamental, Créteil, France
- Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco, France
| | - Emilie Olié
- Fondation Fondamental, Créteil, France
- Department of Emergency Psychiatry and Acute Care, CHU Montpellier, INSERM U1061, Montpellier University, Montpellier, France
| | - Christine Passerieux
- Fondation Fondamental, Créteil, France
- Service Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, 177 rue de Versailles, 78157, Le Chesnay, France
- CESP, INSERM, Université Paris Saclay, Université de Versailles Saint-Quentin-En-Yvelines, 2 Avenue de la Source de la Bièvre, 78180, Montigny-le-Bretonneux, France
| | - Mircea Polosan
- Fondation Fondamental, Créteil, France
- Université Grenoble Alpes, Inserm, U1216, Grenoble Institut des Neurosciences, CHU Grenoble Alpes, 38000, Grenoble, France
| | - Raymund Schwan
- Faculté de médecine, AP-HP, Department of Psychiatry, Université de Paris, Louis Mourier Hospital, CHU Louis Mourier, 178 rue des Renouillers, 92700, Colombes, France
- CHRU de Nancy et Pôle de Psychiatrie et Psychologie Clinique, Université de Lorraine, Centre Psychothérapique de Nancy, Nancy, France
| | - Paul Roux
- Fondation Fondamental, Créteil, France
- Service Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, 177 rue de Versailles, 78157, Le Chesnay, France
- CESP, INSERM, Université Paris Saclay, Université de Versailles Saint-Quentin-En-Yvelines, 2 Avenue de la Source de la Bièvre, 78180, Montigny-le-Bretonneux, France
| | - Caroline Dubertret
- Fondation Fondamental, Créteil, France
- Faculté de médecine, AP-HP, Department of Psychiatry, Université de Paris, Louis Mourier Hospital, CHU Louis Mourier, 178 rue des Renouillers, 92700, Colombes, France
- INSERM UMR1266, Institute of Psychiatry and Neuroscience of Paris, University Paris Descartes, Paris, France
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Nenadić I, Meller T, Schmitt S, Stein F, Brosch K, Mosebach J, Ettinger U, Grant P, Meinert S, Opel N, Lemke H, Fingas S, Förster K, Hahn T, Jansen A, Andlauer TFM, Forstner AJ, Heilmann-Heimbach S, Hall ASM, Awasthi S, Ripke S, Witt SH, Rietschel M, Müller-Myhsok B, Nöthen MM, Dannlowski U, Krug A, Streit F, Kircher T. Polygenic risk for schizophrenia and schizotypal traits in non-clinical subjects. Psychol Med 2022; 52:1069-1079. [PMID: 32758327 DOI: 10.1017/s0033291720002822] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Schizotypy is a putative risk phenotype for psychosis liability, but the overlap of its genetic architecture with schizophrenia is poorly understood. METHODS We tested the hypothesis that dimensions of schizotypy (assessed with the SPQ-B) are associated with a polygenic risk score (PRS) for schizophrenia in a sample of 623 psychiatrically healthy, non-clinical subjects from the FOR2107 multi-centre study and a second sample of 1133 blood donors. RESULTS We did not find correlations of schizophrenia PRS with either overall SPQ or specific dimension scores, nor with adjusted schizotypy scores derived from the SPQ (addressing inter-scale variance). Also, PRS for affective disorders (bipolar disorder and major depression) were not significantly associated with schizotypy. CONCLUSIONS This important negative finding demonstrates that despite the hypothesised continuum of schizotypy and schizophrenia, schizotypy might share less genetic risk with schizophrenia than previously assumed (and possibly less compared to psychotic-like experiences).
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Affiliation(s)
- Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Johannes Mosebach
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Ulrich Ettinger
- Department of Psychology, Rheinische Friedrich-Wilhelms-Universität Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany
| | - Phillip Grant
- Psychology School, Fresenius University of Applied Sciences, Marienburgstr. 6, 60528 Frankfurt, Germany
- Faculty of Life Science Engineering, Technische Hochschule Mittelhessen University of Applied Sciences, Giessen, Germany
| | - Susanne Meinert
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Hannah Lemke
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Stella Fingas
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Förster
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Tim Hahn
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Till F M Andlauer
- Max-Planck-Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
- Centre for Human Genetics, Philipps-Universität Marburg, Baldingerstraße, 35033 Marburg, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Alisha S M Hall
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge MA 02142, USA
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Bertram Müller-Myhsok
- Max-Planck-Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany
- Institute of Translational Medicine, University of Liverpool, Crown St., Liverpool L69 3BX, UK
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
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7
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Moussa-Tooks AB, Bailey AJ, Bolbecker AR, Viken RJ, O’Donnell BF, Hetrick WP. Bifactor Structure of the Schizotypal Personality Questionnaire Across the Schizotypy Spectrum. J Pers Disord 2021; 35:513-537. [PMID: 32039649 PMCID: PMC7415588 DOI: 10.1521/pedi_2020_34_466] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Despite widespread use in schizophrenia-spectrum research, uncertainty remains around an empirically supported and theoretically meaningful factor structure of the Schizotypal Personality Questionnaire (SPQ). Current identified structures are limited by reliance on exclusively nonclinical samples. The current study compared factor structures of the SPQ in a sample of 335 nonpsychiatric individuals, 292 schizotypy-spectrum individuals (schizophrenia, schizoaffective disorder, or schizotypal personality disorder), and the combined group (N = 627). Unidimensional, correlated, and hierarchical models were assessed in addition to a bifactor model, wherein subscales load simultaneously onto a general factor and a specific factor. The best-fitting model across samples was a two-specific factor bifactor model, consistent with the nine symptom dimensions of schizotypy as primarily a direct manifestation of a unitary construct. Such findings, for the first time demonstrated in a clinical sample, have broad implications for transdiagnostic approaches, including reifying schizotypy as a construct underlying diverse manifestations of phenomenology across a wide range of severity.
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Affiliation(s)
- Alexandra B. Moussa-Tooks
- Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, Indiana,Program in Neuroscience, Indiana University Bloomington
| | - Allen J. Bailey
- Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, Indiana
| | - Amanda R. Bolbecker
- Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, Indiana,Larue D. Carter Memorial Hospital, Indianapolis, Indiana,Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana
| | - Richard J. Viken
- Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, Indiana,Program in Neuroscience, Indiana University Bloomington
| | - Brian F. O’Donnell
- Larue D. Carter Memorial Hospital, Indianapolis, Indiana,Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana,Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, Indiana,Program in Neuroscience, Indiana University Bloomington
| | - William P. Hetrick
- Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, Indiana,Larue D. Carter Memorial Hospital, Indianapolis, Indiana,Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana,Program in Neuroscience, Indiana University Bloomington
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8
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Alfimova MV, Lezheiko T, Plakunova V, Golimbet V. Relationships between schizotypal features, trait anticipatory and consummatory pleasure, and naturalistic hedonic States. MOTIVATION AND EMOTION 2021. [DOI: 10.1007/s11031-021-09896-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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9
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Tan EJ, Neill E, Tomlinson K, Rossell SL. Semantic Memory Impairment Across the Schizophrenia Continuum: A Meta-Analysis of Category Fluency Performance. ACTA ACUST UNITED AC 2020. [DOI: 10.1093/schizbullopen/sgaa054] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Abstract
Semantic memory (SM) impairments are a core feature of schizophrenia and are present along the psychosis continuum. It is, however, unclear whether the degree of SM impairments vary along this continuum and if demographic and clinical factors affect impairment severity. This study performed meta-analyses of category fluency task performance (a task commonly used to assess SM) in 4 groups along the schizophrenia continuum: high schizotypes (HSZT), first-degree relatives (FDR), recent-onset patients (≤2 y; ROP) and chronic patients (CSZ). Electronic databases were searched for relevant studies published up to October 2019 resulting in the inclusion of 48 articles. The main analyses assessed fluency productivity scores in 2978 schizophrenia spectrum disorder patients, 340 first-degree relatives of schizophrenia spectrum disorder patients, and 3204 healthy controls. Further analyses assessed errors, mean cluster size, and switching data that were available in the CSZ group only. Results revealed significant impairments in fluency productivity were present in the FDR, ROP, and CSZ groups relative to healthy controls, but not in HSZT. In the CSZ group, significant differences relative to healthy controls were also observed in non-perseverative errors, mean cluster size, and number of switches. The findings collectively suggest that SM deficits are present at each stage of the continuum and are exacerbated post-illness onset. They also support the centrality of SM impairments in schizophrenia and most elevated risk groups. Future studies with more diverse measures of SM function are needed to replicate and extend this research.
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Affiliation(s)
- Eric Josiah Tan
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
- Department of Psychiatry, St Vincent’s Hospital, Melbourne, Australia
| | - Erica Neill
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
- Department of Psychiatry, St Vincent’s Hospital, Melbourne, Australia
- Department of Psychiatry, The University of Melbourne, Melbourne, Australia
| | - Kiandra Tomlinson
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
| | - Susan Lee Rossell
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
- Department of Psychiatry, St Vincent’s Hospital, Melbourne, Australia
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10
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Lucas-Molina B, Pérez-Albéniz A, Satorres E, Ortuño-Sierra J, Domínguez Garrido E, Fonseca-Pedrero E. Identifying extended psychosis phenotypes at school: Associations with socio-emotional adjustment, academic, and neurocognitive outcomes. PLoS One 2020; 15:e0237968. [PMID: 32822380 PMCID: PMC7446872 DOI: 10.1371/journal.pone.0237968] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 08/06/2020] [Indexed: 11/26/2022] Open
Abstract
The main goal of the present study was to explore the latent structure of extended psychosis phenotypes in a representative sample of adolescents. Moreover, associations with socio-emotional adjustment, academic achievement, and neurocognition performance across the latent profiles were compared. Participants were 1506 students, 667 males (44.3%), derived from random cluster sampling. Various tools were used to measure psychosis risk, subjective well-being, academic performance, and neurocognition. Based on three psychometric indicators of psychosis risk (schizotypal traits, psychotic-like experiences, and bipolar-like experiences), four latent classes were found: non-risk, low-risk, high reality distortion experiences, and high psychosis liability. The high-risk latent groups scored significantly higher on mental health difficulties, and negative affect, and lower on positive affect and well-being, compared to the two non-risk groups. Moreover, these high-risk groups had a significantly higher number of failed academic subjects compared to the non-risk groups. In addition, no statistically significant differences in efficiency performance were found in the neurocognitive domains across the four latent profiles. This study allows us to improve the early identification of adolescents at risk of serious mental disorder in school settings in order to prevent the incidence and burden associated with these kinds of mental health problems.
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Affiliation(s)
- Beatriz Lucas-Molina
- Department of Developmental and Educational Psychology, University of Valencia, Valencia, Spain
| | - Alicia Pérez-Albéniz
- Department of Educational Sciences, University of La Rioja, Logroño, Spain
- Programa Riojano de Investigación en Salud Mental (PRISMA), University of La Rioja, Logroño, Spain
| | - Encar Satorres
- Department of Developmental and Educational Psychology, University of Valencia, Valencia, Spain
| | - Javier Ortuño-Sierra
- Department of Educational Sciences, University of La Rioja, Logroño, Spain
- Programa Riojano de Investigación en Salud Mental (PRISMA), University of La Rioja, Logroño, Spain
| | | | - Eduardo Fonseca-Pedrero
- Department of Educational Sciences, University of La Rioja, Logroño, Spain
- Programa Riojano de Investigación en Salud Mental (PRISMA), University of La Rioja, Logroño, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Department of Psychiatry, University of Oviedo, Oviedo, Spain
- * E-mail:
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11
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A systematic review and narrative synthesis of data-driven studies in schizophrenia symptoms and cognitive deficits. Transl Psychiatry 2020; 10:244. [PMID: 32694510 PMCID: PMC7374614 DOI: 10.1038/s41398-020-00919-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/24/2020] [Accepted: 07/03/2020] [Indexed: 12/30/2022] Open
Abstract
To tackle the phenotypic heterogeneity of schizophrenia, data-driven methods are often applied to identify subtypes of its symptoms and cognitive deficits. However, a systematic review on this topic is lacking. The objective of this review was to summarize the evidence obtained from longitudinal and cross-sectional data-driven studies in positive and negative symptoms and cognitive deficits in patients with schizophrenia spectrum disorders, their unaffected siblings and healthy controls or individuals from general population. Additionally, we aimed to highlight methodological gaps across studies and point out future directions to optimize the translatability of evidence from data-driven studies. A systematic review was performed through searching PsycINFO, PubMed, PsycTESTS, PsycARTICLES, SCOPUS, EMBASE and Web of Science electronic databases. Both longitudinal and cross-sectional studies published from 2008 to 2019, which reported at least two statistically derived clusters or trajectories were included. Two reviewers independently screened and extracted the data. In this review, 53 studies (19 longitudinal and 34 cross-sectional) that conducted among 17,822 patients, 8729 unaffected siblings and 5520 controls or general population were included. Most longitudinal studies found four trajectories that characterized by stability, progressive deterioration, relapsing and progressive amelioration of symptoms and cognitive function. Cross-sectional studies commonly identified three clusters with low, intermediate (mixed) and high psychotic symptoms and cognitive profiles. Moreover, identified subgroups were predicted by numerous genetic, sociodemographic and clinical factors. Our findings indicate that schizophrenia symptoms and cognitive deficits are heterogeneous, although methodological limitations across studies are observed. Identified clusters and trajectories along with their predictors may be used to base the implementation of personalized treatment and develop a risk prediction model for high-risk individuals with prodromal symptoms.
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12
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Barkus E. Effects of working memory training on emotion regulation: Transdiagnostic review. Psych J 2020; 9:258-279. [PMID: 32166891 DOI: 10.1002/pchj.353] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 10/20/2019] [Accepted: 11/19/2019] [Indexed: 12/18/2022]
Abstract
Working memory training is widely used transdiagnostically to improve cognition. However, more recently, studies using working memory training packages have targeted emotion-regulation outcomes to determine whether far transfer effects can be achieved. A narrative review is conducted of studies that have used standardized computerized working memory training packages across healthy volunteers, affect, anxiety, post-traumatic stress disorder (PTSD), and eating disordered populations with emotion-regulation outcomes. Working memory training has been used in children, adolescents, and adults to improve emotion regulation. Many studies have reported gains in mood as well as emotion-regulation strategies following working memory training, regardless of clinical indication and whether near transfer gains were achieved in cognitive domains. Significant emotion-regulation outcomes include: state and trait anxiety, rumination, brooding, positive appraisal, decreasing maladaptive emotion-regulation strategies, and decreasing intrusive thoughts. It is speculated that these far transfer outcomes from working memory training are possible due to the cognitive and neural overlap between cognitive and affective working memory, and emotion regulation. Working memory training could improve cognitive efficiency, which, in turn, increases the availability of cognitive resources during times when emotion regulation is taxed. Future studies need to consider the role of participant expectancy in predicting outcome measure performance, and including subjective and objective outcomes is paramount to study design. Furthermore, sample sizes require additional attention, given that the current review highlights that individual differences in non-clinical and clinical populations influence the outcomes from working memory training. Working memory training offers a possibility for improving emotion regulation transdiagnostically.
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Affiliation(s)
- Emma Barkus
- School of Psychology, University of Wollongong, Wollongong, Australia
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13
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Cohen AS, Chan RCK, Debbané M. Crossing Boundaries in Schizotypy Research: An Introduction to the Special Supplement. Schizophr Bull 2018. [DOI: 10.1093/schbul/sby089] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Affiliation(s)
- Alex S Cohen
- Department of Psychology, Louisiana State University, Baton Rouge, LA
| | - 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
| | - Martin Debbané
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
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