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Karamaouna P, Zouraraki C, Economou E, Kafetsios K, Bitsios P, Giakoumaki SG. Cold executive function processes and their hot analogs in schizotypy. J Int Neuropsychol Soc 2024; 30:285-294. [PMID: 37750805 DOI: 10.1017/s1355617723000590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
OBJECTIVE To examine cold (based on logical reasoning) versus hot (having emotional components) executive function processes in groups with high individual schizotypal traits. METHOD Two-hundred and forty-seven participants were administered the Schizotypal Personality Questionnaire and were allocated into schizotypal (cognitive-perceptual, paranoid, negative, disorganized) or control groups according to pre-specified criteria. Participants were also administered a battery of tasks examining working memory, complex selective attention, response inhibition, decision-making and fluid intelligence and their affective counterparts. The outcome measures of each task were reduced to one composite variable thus formulating five cold and five hot cognitive domains. Between-group differences in the cognitive domains were examined with repeated measures analyses of covariance. RESULTS For working memory, the control and the cognitive-perceptual groups outperformed negative schizotypes, while for affective working memory controls outperformed the disorganized group. Controls also scored higher compared with the disorganized group in complex selective attention, while both the control and the cognitive-perceptual groups outperformed negative schizotypes in complex affective selective attention. Negative schizotypes also had striking difficulties in response inhibition, as they scored lower compared with all other groups. Despite the lack of differences in fluid intelligence, controls scored higher compared with all schizotypal groups (except from cognitive-perceptual schizotypes) in emotional intelligence; the latter group reported higher emotional intelligence compared with negative schizotypes. CONCLUSION Results indicate that there is no categorical association between the different schizotypal dimensions with solely cold or hot executive function processes and support impoverished emotional intelligence as a core feature of schizotypy.
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Affiliation(s)
- Penny Karamaouna
- Laboratory of Neuropsychology, Department of Psychology, School of Social Sciences, University of Crete, Rethymno, Crete, Greece
- University of Crete Research Center for the Humanities, the Social and Education Sciences (UCRC), University of Crete, Rethymno, Crete, Greece
| | - Chrysoula Zouraraki
- Laboratory of Neuropsychology, Department of Psychology, School of Social Sciences, University of Crete, Rethymno, Crete, Greece
- University of Crete Research Center for the Humanities, the Social and Education Sciences (UCRC), University of Crete, Rethymno, Crete, Greece
| | - Elias Economou
- Laboratory of Experimental Psychology, Department of Psychology, School of Social Sciences, University of Crete, Rethymno, Crete, Greece
| | | | - Panos Bitsios
- Department of Psychiatry and Behavioural Sciences, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Stella G Giakoumaki
- Laboratory of Neuropsychology, Department of Psychology, School of Social Sciences, University of Crete, Rethymno, Crete, Greece
- University of Crete Research Center for the Humanities, the Social and Education Sciences (UCRC), University of Crete, Rethymno, Crete, Greece
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2
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Chakrabarty T, Frangou S, Torres IJ, Ge R, Yatham LN. Brain age and cognitive functioning in first-episode bipolar disorder. Psychol Med 2023; 53:5127-5135. [PMID: 35875930 PMCID: PMC10476063 DOI: 10.1017/s0033291722002136] [Citation(s) in RCA: 1] [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: 03/07/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND There is significant heterogeneity in cognitive function in patients with bipolar I disorder (BDI); however, there is a dearth of research into biological mechanisms that might underlie cognitive heterogeneity, especially at disease onset. To this end, this study investigated the association between accelerated or delayed age-related brain structural changes and cognition in early-stage BDI. METHODS First episode patients with BDI (n = 80) underwent cognitive assessment to yield demographically normed composite global and domain-specific scores in verbal memory, non-verbal memory, working memory, processing speed, attention, and executive functioning. Structural magnetic resonance imaging data were also collected from all participants and subjected to machine learning to compute the brain-predicted age difference (brainPAD), calculated by subtracting chronological age from age predicted by neuroimaging data (positive brainPAD values indicating age-related acceleration in brain structural changes and negative values indicating delay). Patients were divided into tertiles based on brainPAD values, and cognitive performance compared amongst tertiles with ANCOVA. RESULTS Patients in the lowest (delayed) tertile of brainPAD values (brainPAD range -17.9 to -6.5 years) had significantly lower global cognitive scores (p = 0.025) compared to patients in the age-congruent tertile (brainPAD range -5.3 to 2.4 yrs), and significantly lower verbal memory scores (p = 0.001) compared to the age-congruent and accelerated (brainPAD range 2.8 to 16.1 yrs) tertiles. CONCLUSION These results provide evidence linking cognitive dysfunction in the early stage of BDI to apparent delay in typical age-related brain changes. Further studies are required to assess how age-related brain changes and cognitive functioning evolve over time.
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Affiliation(s)
- Trisha Chakrabarty
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| | - Sophia Frangou
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
- Department of Psychiatry Icahn School of Medicine at Mount Sinai, New York City, NY, United States
| | - Ivan J. Torres
- British Columbia Mental Health and Substance Use Services, Vancouver, BC, Canada
| | - Ruiyang Ge
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| | - Lakshmi N. Yatham
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
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3
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Senner F, Hiendl L, Bengesser S, Adorjan K, Anghelescu IG, Baune BT, Budde M, Dannlowski U, Dietrich DE, Falkai P, Fallgatter AJ, Hasan A, Heilbronner M, Jäger M, Juckel G, Kalman JL, Konrad C, Kohshour MO, Papiol S, Reich-Erkelenz D, Reimer J, Schaupp SK, Schmauß M, Senner S, Spitzer C, Vogl T, Zimmermann J, Heilbronner U, Schulte EC, Schulze TG, Reininghaus EZ, Kirchner SK, Dalkner N. Medication adherence and cognitive performance in schizophrenia-spectrum and bipolar disorder: results from the PsyCourse Study. Transl Psychiatry 2023; 13:99. [PMID: 36966169 PMCID: PMC10039892 DOI: 10.1038/s41398-023-02373-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 02/08/2023] [Accepted: 02/16/2023] [Indexed: 03/27/2023] Open
Abstract
Existing guidelines recommend psychopharmacological treatment for the management of schizophrenia and bipolar disorder as part of holistic treatment concepts. About half of the patients do not take their medication regularly, although treatment adherence can prevent exacerbations and re-hospitalizations. To date, the relationship between medication adherence and cognitive performance is understudied. Therefore, this study investigated the relationship between medication adherence and cognitive performance by analyzing the data of 862 participants with schizophrenia-spectrum and bipolar disorders (mean [SD] age, 41.9 [12.48] years; 44.8% female) from a multicenter study (PsyCourse Study). Z-scores for three cognitive domains were calculated, global functioning was measured with the Global Assessment of Functioning Scale, and adherence was assessed by a self-rating questionnaire. We evaluated four multiple linear regression models and built three clusters with hierarchical cluster analyses. Higher adherence behavior (p < 0.001) was associated with better global functioning but showed no impact on the cognitive domains learning and memory, executive function, and psychomotor speed. The hierarchical cluster analysis resulted in three clusters with different cognitive performances, but patients in all clusters showed similar adherence behavior. The study identified cognitive subgroups independent of diagnoses, but no differences were found in the adherence behavior of the patients in these new clusters. In summary, medication adherence was associated with global but not cognitive functioning in patients with schizophrenia-spectrum and bipolar disorders. In both diagnostic groups, cognitive function might be influenced by various factors but not medication adherence.
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Affiliation(s)
- Fanny Senner
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, 80336, Germany
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Lena Hiendl
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Neurobiology and Anthropometrics in Bipolar Affective Disorder, Medical University of Graz, Graz, 8036, Austria
| | - Susanne Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Neurobiology and Anthropometrics in Bipolar Affective Disorder, Medical University of Graz, Graz, 8036, Austria.
| | - Kristina Adorjan
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, 80336, Germany
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Ion-George Anghelescu
- Department of Psychiatry and Psychotherapy, Mental Health Institute Berlin, Berlin, 14050, Germany
| | - Bernhardt T Baune
- Department of Psychiatry, University of Münster, Münster, 48149, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, 48149, Germany
| | - Detlef E Dietrich
- AMEOS Clinical Center Hildesheim, Hildesheim, 31135, Germany
- Center for Systems Neuroscience (ZSN), Hannover, 30559, Germany
- Department of Psychiatry, Medical School of Hannover, Hannover, 30625, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, 72076, Germany
| | - Alkomiet Hasan
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, University of Augsburg, Bezirkskrankenhaus Augsburg, Augsburg, 86156, Germany
| | - Maria Heilbronner
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Markus Jäger
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, 89312, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, 44791, Germany
| | - Janos L Kalman
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, 80336, Germany
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum, Rotenburg, 27356, Germany
| | - Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
- Department of Immunology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Sergi Papiol
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, 80336, Germany
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Daniela Reich-Erkelenz
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Jens Reimer
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany
- Department of Psychiatry, Health North Hospital Group, Bremen, 28102, Germany
| | - Sabrina K Schaupp
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Max Schmauß
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, University of Augsburg, Bezirkskrankenhaus Augsburg, Augsburg, 86156, Germany
| | - Simon Senner
- Center for Psychiatry Reichenau, Academic Hospital University of Konstanz, Konstanz, 78479, Germany
| | - Carsten Spitzer
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Rostock, Rostock, 18147, Germany
| | - Thomas Vogl
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Jörg Zimmermann
- Psychiatrieverbund Oldenburger Land gGmbH, Karl-Jaspers-Klinik, Bad Zwischenahn, 26160, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
| | - Eva C Schulte
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, 80336, Germany
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Medical Faculty, University of Bonn, Bonn, 53105, Germany
- Institute of Human Genetics, University Hospital Bonn, Medical Faculty, University of Bonn, Bonn, 53127, Germany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, 80336, Germany
- Department of Psychiatry and Behavorial Sciences, SUNY Upstate Medical University, Syracuse, 54, NY, USA
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Neurobiology and Anthropometrics in Bipolar Affective Disorder, Medical University of Graz, Graz, 8036, Austria
| | - Sophie-Kathrin Kirchner
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, 80336, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, University of Augsburg, Bezirkskrankenhaus Augsburg, Augsburg, 86156, Germany
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Neurobiology and Anthropometrics in Bipolar Affective Disorder, Medical University of Graz, Graz, 8036, Austria
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Martins DS, Hasse-Sousa M, Reckziegel RDFX, Lapa CDO, Petry-Perin C, Britto MJ, Remus IB, Gama CS, Czepielewski LS. A five-year follow-up of the verbal memory performance of individuals with bipolar disorder and schizophrenia: evidence of unchanging deficits under treatment. Cogn Neuropsychiatry 2023; 28:19-35. [PMID: 36254742 DOI: 10.1080/13546805.2022.2133694] [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: 11/03/2022]
Abstract
OBJECTIVE Bipolar disorder (BD) and schizophrenia (SZ) are chronic and heterogeneous mental disorders that present cognitive and functional impairments. Verbal memory is considered an important predictor of functioning and a domain vulnerable to the aging process. However, only few studies investigate the progression of memory longitudinally in BD and SZ, especially in lower- and middle-income countries. Therefore, we aim to evaluate the course of verbal memory in individuals with BD and SZ. METHODS We assessed 31 individuals with BD and 27 individuals with SZ under treatment at outpatient clinics at baseline and after five years. They were assessed through a sociodemographic questionnaire, memory and estimated IQ (eIQ) instruments, and clinical scales. RESULTS Individuals with SZ showed worse verbal memory performance in comparison to BD, however, we did not observe changes over time within patient groups. Individuals with BD with higher eIQ showed a better verbal memory performance, while no effect of eIQ was found for subjects with SZ. CONCLUSION Patients with SZ and BD showed different levels of verbal memory impairment, although they had similar unchanging trajectories after 5 years under psychiatric treatment. This finding indicates a relative stable cognitive course for both disorders.
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Affiliation(s)
- Dayane Santos Martins
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Mathias Hasse-Sousa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós-Graduação em Psicologia, Departamento de Psicologia do Desenvolvimento e da Personalidade, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Ramiro de Freitas Xavier Reckziegel
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Clara de Olivera Lapa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Carolina Petry-Perin
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Maria Julia Britto
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Isadora Bosini Remus
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Clarissa Severino Gama
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Leticia Sanguinetti Czepielewski
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós-Graduação em Psicologia, Departamento de Psicologia do Desenvolvimento e da Personalidade, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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5
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Correa-Ghisays P, Vicent Sánchez-Ortí J, Balanzá-Martínez V, Fuentes-Durá I, Martinez-Aran A, Ruiz-Bolo L, Correa-Estrada P, Ruiz-Ruiz JC, Selva-Vera G, Vila-Francés J, Macias Saint-Gerons D, San-Martín C, Ayesa-Arriola R, Tabarés-Seisdedos R. MICEmi: A method to identify cognitive endophenotypes of mental illnesses. Eur Psychiatry 2022; 65:e85. [PMID: 36440538 PMCID: PMC9807453 DOI: 10.1192/j.eurpsy.2022.2348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. METHODS For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. CONCLUSIONS This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
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Affiliation(s)
- Patricia Correa-Ghisays
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vicent Sánchez-Ortí
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Inmaculada Fuentes-Durá
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Anabel Martinez-Aran
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Bipolar Disorders Unit, Neurosciences Institute, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Catalonia, Spain
| | - Lara Ruiz-Bolo
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | | | - Juan Carlos Ruiz-Ruiz
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Gabriel Selva-Vera
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vila-Francés
- Intelligent Data Analysis Laboratory (IDAL), University of Valencia, Spain
| | - Diego Macias Saint-Gerons
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Constanza San-Martín
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Rafael Tabarés-Seisdedos
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
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6
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Neurocognitive functioning in adult and adolescent offspring of parents with schizophrenia. Schizophr Res 2022; 248:300-308. [PMID: 36152359 DOI: 10.1016/j.schres.2022.09.015] [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: 01/18/2022] [Revised: 08/15/2022] [Accepted: 09/05/2022] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Neurocognitive deficits have been proposed as endophenotypes for schizophrenia. Although neurocognitive functioning has been studied extensively in first-degree relatives of schizophrenia patients at single time points, little is known about the change or continuity in deficits across development. METHOD The longitudinal sample was composed of 86 nonpsychotic participants who had a parent with schizophrenia (n = 28), a parent with a nonschizophrenia mental disorder (n = 31) or parents without mental illness (n = 27). Executive functioning (EF) was assessed during adolescence (M = 18 years) and adulthood (M = 32 years); attention and memory were assessed at adulthood. RESULTS The schizophrenia group, as adults, showed deficits in attention and memory relative to the no mental illness group. Only on one memory task did the schizophrenia group perform more poorly than the other mental illness group. Executive functioning improved with age for all three groups on Wisconsin Card Sorting Test perseverative errors; the rate of improvement was significantly slower for the schizophrenia and the other mental illness groups, compared to the no mental illness group. Stability in EF functioning over the 16-year period, measured by intraclass correlations, was low. CONCLUSIONS Adults at familial risk for schizophrenia showed deficits in neurocognitive functioning. The similarity of performance between those whose parents had schizophrenia and those whose parents had other mental illness, in all but the measures of memory, raises the question as to whether the neurocognitive functions examined are endophenotypes of vulnerability to schizophrenia specifically. Modest stability of EF and improved performance with age may reflect cortical maturation during early adulthood.
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7
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O'Hora KP, Zhang Z, Vajdi A, Kushan-Wells L, Huang ZS, Pacheco-Hansen L, Roof E, Holland A, Gur RC, Bearden CE. Neurobehavioral Dimensions of Prader Willi Syndrome: Relationships Between Sleep and Psychosis-Risk Symptoms. Front Psychiatry 2022; 13:868536. [PMID: 35492689 PMCID: PMC9043455 DOI: 10.3389/fpsyt.2022.868536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
Background Prader Willi Syndrome (PWS) is a genetic disorder caused by the absence of expression of the paternal copies of maternally imprinted gene(s) located at 15q11-q13. While the physical and medical characteristics of PWS, including short stature, hyperphagia and endocrine dysfunction are well-characterized, systematic investigation of the long-recognized psychiatric manifestations has been recent. Methods Here, we report on the first remote (web-based) assessment of neurobehavioral traits, including psychosis-risk symptoms (Prodromal Questionnaire-Brief Version; PQ-B) and sleep behaviors (Pittsburgh Sleep Quality Index), in a cohort of 128 participants with PWS, of whom 48% had a paternal deletion, 36% uniparental disomy, 2.4% an imprinting mutation and 13% unknown mutation (mean age 19.3 years ± 8.4; 53.9% female). We aimed to identify the most informative variables that contribute to psychosis-risk symptoms. Multiple domains of cognition (accuracy and speed) were also assessed in a subset of PWS participants (n = 39) using the Penn Computerized Neurocognitive Battery (Penn-CNB). Results Individuals with PWS reported a range of psychosis-risk symptoms, with over half reporting cognitive disorganization (63.1%) and about one third reporting unusual beliefs (38.6%) and/or suspiciousness (33.3%). Subjectively-reported sleep quality, nap frequency, sleep duration, sleep disturbance, and daytime dysfunction were significant predictors of psychosis-risk symptom frequency and severity (all p's < 0.029). Sleep disturbance ratings were the strongest predictors of psychosis-risk symptoms. Regarding cognition, individuals with PWS showed the most prominent deficits in accuracy on measures of social cognition involving faces, namely Face Memory, Age Differentiation and Emotion Recognition, and greatest slowing on measures of Attention and Emotion Recognition. However, there were no significant differences in psychosis-risk symptoms or cognitive performance as a function of PWS genetic subtype. Conclusions PWS is associated with a high prevalence of distressing psychosis-risk symptoms, which are associated with sleep disturbance. Findings indicate that self/parent-reported neurobehavioral symptoms and cognition can be assessed remotely in individuals with PWS, which has implications for future large-scale investigations of rare neurogenetic disorders.
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Affiliation(s)
- Kathleen P. O'Hora
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, United States
| | - Zizhao Zhang
- Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, United States
| | - Ariana Vajdi
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Leila Kushan-Wells
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Zhengyi Sissi Huang
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Laura Pacheco-Hansen
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Elizabeth Roof
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, United States
| | - Anthony Holland
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania and the Penn-Children's Hospital of Philadelphia (CHOP) Lifespan and Brain Institute, Philadelphia, PA, United States
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
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8
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Correa-Ghisays P, Sánchez-Ortí JV, Balanzá-Martínez V, Selva-Vera G, Vila-Francés J, Magdalena-Benedito R, Victor VM, Escribano-López I, Hernández-Mijares A, Vivas-Lalinde J, San-Martín C, Crespo-Facorro B, Tabarés-Seisdedos R. Transdiagnostic neurocognitive deficits in patients with type 2 diabetes mellitus, major depressive disorder, bipolar disorder, and schizophrenia: A 1-year follow-up study. J Affect Disord 2022; 300:99-108. [PMID: 34965401 DOI: 10.1016/j.jad.2021.12.074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 11/05/2021] [Accepted: 12/19/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Neurocognition impairments are critical factors in patients with major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ), and also in those with somatic diseases such as type 2 diabetes mellitus (T2DM). Intriguingly, these severe mental illnesses are associated with an increased co-occurrence of diabetes (direct comorbidity). This study sought to investigate the neurocognition and social functioning across T2DM, MDD, BD, and SZ using a transdiagnostic and longitudinal approach. METHODS A total of 165 participants, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HC), were assessed twice at a 1-year interval using a comprehensive, integrated test battery on neuropsychological and social functioning. RESULTS Common neurocognitive impairments in somatic and psychiatric disorders were identified, including deficits in short-term memory and cognitive reserve (p < 0.01, η²p=0.08-0.31). Social functioning impairments were observed in almost all the disorders (p < 0.0001; η²p=0.29-0.49). Transdiagnostic deficits remained stable across the 1-year follow-up (p < 0.001; η²p=0.13-0.43) and could accurately differentiate individuals with somatic and psychiatric disorders (χ² = 48.0, p < 0.0001). LIMITATIONS The initial sample size was small, and high experimental mortality was observed after follow-up for one year. CONCLUSIONS This longitudinal study provides evidence of some possible overlap in neurocognition deficits across somatic and psychiatric diagnostic categories, such as T2DM, MDD, BD, and SZ, which have high comorbidity. This overlap may be a result of shared genetic and environmental etiological factors. The findings open promising avenues for research on transdiagnostic phenotypes of neurocognition in these disorders, in addition to their biological bases.
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Affiliation(s)
- Patricia Correa-Ghisays
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Faculty of Psychology, University of Valencia, Valencia 46010, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Blasco-Ibáñez 17, Valencia 46010, Spain
| | - Joan Vicent Sánchez-Ortí
- TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Faculty of Psychology, University of Valencia, Valencia 46010, Spain
| | - Vicent Balanzá-Martínez
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Blasco-Ibáñez 17, Valencia 46010, Spain; Unitat de Salut Mental de Catarroja, Valencia 46470, Spain
| | - Gabriel Selva-Vera
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Blasco-Ibáñez 17, Valencia 46010, Spain
| | - Joan Vila-Francés
- IDAL - Intelligent Data Analysis Laboratory, University of Valencia, Valencia 46100, Spain
| | | | - Victor M Victor
- Service of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia 46017, Spain; Department of Physiology, University of Valencia, Valencia 46010, Spain
| | - Irene Escribano-López
- Service of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia 46017, Spain
| | - Antonio Hernández-Mijares
- Service of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia 46017, Spain; Department of Medicine, University of Valencia, Valencia 46010, Spain
| | | | - Constanza San-Martín
- TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; Departament of Physioterapy, University of Valencia, Valencia 46010, Spain
| | - Benedicto Crespo-Facorro
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; Hospital Universitario Virgen del Roció-IBIS- University of Sevilla, Sevilla, Spain
| | - Rafael Tabarés-Seisdedos
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Blasco-Ibáñez 17, Valencia 46010, Spain.
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9
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Macoveanu J, Freeman KO, Kjaerstad HL, Knudsen GM, Kessing LV, Miskowiak KW. Structural brain abnormalities associated with cognitive impairments in bipolar disorder. Acta Psychiatr Scand 2021; 144:379-391. [PMID: 34245569 DOI: 10.1111/acps.13349] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/18/2021] [Accepted: 07/07/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Cognitive impairment has been highlighted as a core feature of bipolar disorder (BD) that often persists during remission. The specific brain correlates of cognitive impairment in BD remain unclear which impedes efficient therapeutic approaches. In a large sample of remitted BD patients, we investigated whether morphological brain abnormalities within dorsal prefrontal cortex (PFC) and hippocampus were related to cognitive deficits. METHODS Remitted BD patients (n = 153) and healthy controls (n = 52) underwent neuropsychological assessment and structural MRI. Based on hierarchical cluster analysis of neuropsychological test performance, patients were classified as either cognitively impaired (n = 91) or cognitively normal (n = 62). The neurocognitive subgroups were compared amongst each other and with healthy controls in terms of dorsal PFC cortical thickness and volume, hippocampus shape and volume, and total cerebral grey and white matter volumes. RESULTS Cognitively impaired patients displayed greater left dorsomedial prefrontal thickness compared to cognitively normal patients and healthy controls. Hippocampal grey matter volume and shape were similar across patient subgroups and healthy controls. At a whole-brain level, cognitively impaired patients had lower cerebral white matter volume compared to the other groups. Across all participants, lower white matter volume correlated with more impaired neuropsychological test performance. CONCLUSIONS Our findings associate cognitive impairment in bipolar disorder with cerebral white matter deficits, factors which may relate to the observed morphological changes in dorsomedial PFC possibly due to increased neurocognitive effort to maintain symptom stability in these remitted patients.
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Affiliation(s)
- Julian Macoveanu
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Katherine Olivia Freeman
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Hanne Lie Kjaerstad
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Gitte Moos Knudsen
- Neurobiology Research Unit and Center for Integrated Molecular imaging, Rigshospitalet, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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10
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Méndez R, Balanzá-Martínez V, Luperdi SC, Estrada I, Latorre A, González-Jiménez P, Feced L, Bouzas L, Yépez K, Ferrando A, Hervás D, Zaldívar E, Reyes S, Berk M, Menéndez R. Short-term neuropsychiatric outcomes and quality of life in COVID-19 survivors. J Intern Med 2021; 290:621-631. [PMID: 33533521 PMCID: PMC8013333 DOI: 10.1111/joim.13262] [Citation(s) in RCA: 125] [Impact Index Per Article: 41.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 12/21/2020] [Accepted: 01/08/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND The general medical impacts of coronavirus (COVID-19) are increasingly appreciated. However, its impact on neurocognitive, psychiatric health and quality of life (QoL) in survivors after the acute phase is poorly understood. We aimed to evaluate neurocognitive function, psychiatric symptoms and QoL in COVID-19 survivors shortly after hospital discharge. METHODS This was a cross-sectional analysis of a prospective study of hospitalized COVID-19 survivors followed up for 2 months after discharge. A battery of standardized instruments evaluating neurocognitive function, psychiatric morbidity and QoL (mental and physical components) was administered by telephone. RESULTS Of the 229 screened patients, 179 were included in the final analysis. Amongst survivors, the prevalence of moderately impaired immediate verbal memory and learning was 38%, delayed verbal memory (11.8%), verbal fluency (34.6%) and working memory (executive function) (6.1%), respectively. Moreover, 58.7% of patients had neurocognitive impairment in at least one function. Rates of positive screening for anxiety, depression and post-traumatic stress disorder were 29.6%, 26.8% and 25.1%, respectively. In addition, 39.1% of the patients had psychiatric morbidity. Low QoL for physical and mental components was detected in 44.1% and 39.1% of patients respectively. Delirium and psychiatric morbidity were associated with neurocognitive impairment, and female gender was related with psychiatric morbidity. CONCLUSION Hospitalized COVID-19 survivors showed a considerable prevalence of neurocognitive impairment, psychiatric morbidity and poor QoL in the short term. It is uncertain if these impacts persist over the long term.
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Affiliation(s)
- R Méndez
- From the, Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain.,University of Barcelona, Barcelona, Spain
| | - V Balanzá-Martínez
- Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, CIBERSAM, Valencia, Spain
| | - S C Luperdi
- Psychiatry Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,University of Valencia, Valencia, Spain
| | - I Estrada
- University of Valencia, Valencia, Spain
| | - A Latorre
- Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain
| | - P González-Jiménez
- From the, Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain
| | - L Feced
- From the, Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain
| | - L Bouzas
- From the, Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain
| | - K Yépez
- From the, Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain
| | - A Ferrando
- From the, Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain
| | - D Hervás
- Data Science, Biostatistics & Bioinformatics, Health Research Institute La Fe, Valencia, Spain
| | - E Zaldívar
- From the, Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain
| | - S Reyes
- From the, Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain
| | - M Berk
- IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - R Menéndez
- From the, Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.,Respiratory Infections Research Group, Health Research Institute La Fe, Valencia, Spain.,University of Valencia, Valencia, Spain.,Center for Biomedical Research Network in Respiratory Diseases (CIBERES), Madrid, Spain
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11
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Is processing speed a valid neurocognitive endophenotype in bipolar disorder? Evidence from a longitudinal, family study. J Psychiatr Res 2021; 141:241-247. [PMID: 34256275 DOI: 10.1016/j.jpsychires.2021.07.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 06/30/2021] [Accepted: 07/05/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND Substantial evidence supports the existence of neurocognitive endophenotypes in bipolar disorder (BD), but very few longitudinal studies have included unaffected relatives. In a 5-year, follow-up, family study, we have recently suggested that deficits in manual motor speed and visual memory could be endophenotype candidates for BD. We aimed to explore whether this also applies to processing speed. METHODS A sample of 348 individuals, including 163 BD patients, 65 unaffected first-degree relatives (BD-Rel) and 120 genetically unrelated healthy controls (HC), was assessed with the Digit Symbol Substitution Test (DSST) on two occasions over a 2-year period (T1, T2). DSST values were controlled for age, years of education, occupational status, and subsyndromic mood symptoms. Differences between groups were evaluated with ANCOVAs. RESULTS At T1 BD performed significantly worse than HC (p < 0.001; Cohen's d = 1.38) and BD-Rel (p < 0.001; Cohen's d = 0.82). BD-Rel showed an intermediate performance with significant differences with HC (p < 0.01; Cohen's d = 0.50). Similarly, at T2 BD performed significantly worse than HC (p < 0.001; Cohen's d = 1.44) and BD-Rel (p < 0.01; Cohen's d = 0.51). BD-Rel performance was intermediate and significantly lower than that of HC (p < 0.01; Cohen's d = 0.97). A Repeated Measures ANOVA revealed no significant between-group differences in performance over time (p > 0.05). CONCLUSIONS The results of this longitudinal, family study suggest that impaired processing speed may represent a suitable cognitive endophenotype for BD. Further research on the field is required to confirm these preliminary findings.
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12
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Grunze H, Cetkovich-Bakmas M. "Apples and pears are similar, but still different things." Bipolar disorder and schizophrenia- discrete disorders or just dimensions ? J Affect Disord 2021; 290:178-187. [PMID: 34000571 DOI: 10.1016/j.jad.2021.04.064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/14/2021] [Accepted: 04/25/2021] [Indexed: 02/05/2023]
Abstract
Starting with the dichotomous view of Kraepelin, schizophrenia and bipolar disorder have traditionally been considered as separate entities. More recent, this taxonomic view of illnesses has been challenged and a continuum psychosis has been postulated based on genetic and neurobiological findings suggestive of a large overlap between disorders. In this paper we will review clinical and experimental data from genetics, morphology, phenomenology and illness progression demonstrating what makes schizophrenia and bipolar disorder different conditions, challenging the idea of the obsolescence of the categorical approach. However, perhaps it is also time to move beyond DSM and search for more refined clinical descriptions that could uncover clinical invariants matching better with molecular data. In the future, computational psychiatry employing artificial intelligence and machine learning might provide us a tool to overcome the gap between clinical descriptions (phenomenology) and neurobiology.
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Affiliation(s)
- Heinz Grunze
- Paracelsus Medical University, Nuremberg & Psychiatrie Schwäbisch Hall, Ringstrasse 1, 74523 Schwäbisch Hall, Germany.
| | - Marcelo Cetkovich-Bakmas
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
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13
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Common variants in CREB1 gene confer risk for bipolar disorder in Han Chinese. Asian J Psychiatr 2021; 59:102648. [PMID: 33848807 DOI: 10.1016/j.ajp.2021.102648] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 02/23/2021] [Accepted: 04/05/2021] [Indexed: 12/25/2022]
Abstract
Recently, we have identified involvement of the gene encoding cAMP responsive element-binding 1 (CREB1) in risk of BD in European ancestry. CREB1 has significant genetic diversity between Europeans and Chinese, thereby resulting in diverged CREB1 genetic backgrounds. In this study, we aimed to determine whether CREB1 confers susceptibility to BD and cognitive dysfunction in Han Chinese. We recruited 572 patients with BD and 611 healthy controls for genetic study. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was used for cognitive evaluation. SNP rs10932201 and rs3770704 within CREB1 were genotyped. The frequency of the G allele of rs10932201 was significantly greater in BD patients (41.8 %) than that in control subjects (37.2 %), with P = 0.02, corrected P = 0.04. There were significant differences in the scores of RBANS attention and total scores between the patients with different genotypes of rs10932201 polymorphism (P = 0.002 and 0.003, corrected P = 0.012 and 0.018, respectively). Post-hoc comparisons showed that rs10932201 G/G or G/A carriers had lower RBANS attention and total scores than those with A/A carriers (P = 0.002 and 0.004, P = 0.002 and 0.006, respectively). We observed a significant association between the rs10932201 and CREB1 expression in intralobular white matter (P = 0.037). Carriers with G allele have significantly lower levels of CREB1 expression in intralobular white matter than those without G allele. In conclusion, this study identified a novel BD risk SNP rs10932201 in Han Chinese and this SNP may be a risk factor for cognitive dysfunction in patients with BD.
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14
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Reckziegel R, Czepielewski LS, Hasse-Sousa M, Martins DS, de Britto MJ, Lapa CDO, Schwartzhaupt AW, Gama CS. Heterogeneous trajectories in schizophrenia: insights from neurodevelopment and neuroprogression models. ACTA ACUST UNITED AC 2021; 44:74-80. [PMID: 33886948 PMCID: PMC8827372 DOI: 10.1590/1516-4446-2020-1670] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 02/08/2021] [Indexed: 12/18/2022]
Abstract
The notion that schizophrenia is a neuroprogressive disorder is based on clinical perception of cumulative impairments over time and is supported by neuroimaging and biomarker research. Nevertheless, increasing evidence has indicated that schizophrenia first emerges as a neurodevelopmental disorder that could follow various pathways, some of them neuroprogressive. The objective of this review is to revisit basic research on cognitive processes and neuroimaging findings in a search for candidate keys to the intricate connections between neurodevelopment and neuroprogression in schizophrenia. In the complete panorama, schizophrenia is a neurodevelopmental disorder, possibly associated with an additional burden over the course of the disease through pathologically accelerated aging, and cognitive heterogeneity may explain the different trajectories of each patient.
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Affiliation(s)
- Ramiro Reckziegel
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Letícia S Czepielewski
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Psicologia, Departamento de Psicologia do Desenvolvimento e da Personalidade, Instituto de Psicologia, UFRGS, Porto Alegre, RS, Brazil
| | - Mathias Hasse-Sousa
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Dayane S Martins
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Maria J de Britto
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Clara de O Lapa
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Alexandre W Schwartzhaupt
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Clarissa S Gama
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
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15
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Ruiz-Sánchez E, Jiménez-Genchi J, Alcántara-Flores YM, Castañeda-González CJ, Aviña-Cervantes CL, Yescas P, del Socorro González-Valadez M, Martínez-Rodríguez N, Ríos-Ortiz A, González-González M, López-Navarro ME, Rojas P. Working memory deficits in schizophrenia are associated with the rs34884856 variant and expression levels of the NR4A2 gene in a sample Mexican population: a case control study. BMC Psychiatry 2021; 21:86. [PMID: 33563249 PMCID: PMC7871565 DOI: 10.1186/s12888-021-03081-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 01/31/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cognitive functions represent useful endophenotypes to identify the association between genetic variants and schizophrenia. In this sense, the NR4A2 gene has been implicated in schizophrenia and cognition in different animal models and clinical trials. We hypothesized that the NR4A2 gene is associated with working memory performance in schizophrenia. This study aimed to analyze two variants and the expression levels of the NR4A2 gene with susceptibility to schizophrenia, as well as to evaluate whether possession of NR4A2 variants influence the possible correlation between gene expression and working memory performance in schizophrenia. METHODS The current study included 187 schizophrenia patients and 227 controls genotyped for two of the most studied NR4A2 genetic variants in neurological and neuropsychiatric diseases. Genotyping was performed using High Resolution Melt and sequencing techniques. In addition, mRNA expression of NR4A2 was performed in peripheral mononuclear cells of 112 patients and 118 controls. A group of these participants, 54 patients and 87 controls, performed the working memory index of the WAIS III test. RESULTS Both genotypic frequencies of the two variants and expression levels of the NR4A2 gene showed no significant difference when in patients versus controls. However, patients homozygous for the rs34884856 promoter variant showed a positive correlation between expression levels and auditory working memory. CONCLUSIONS Our finding suggested that changes in expression levels of the NR4A2 gene could be associated with working memory in schizophrenia depending on patients' genotype in a sample from a Mexican population.
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Affiliation(s)
- Elizabeth Ruiz-Sánchez
- grid.419204.a0000 0000 8637 5954Laboratory of Neurotoxicology, Instituto Nacional de Neurología y Neurocirugía, “Manuel Velasco Suárez”, SS, Av. Insurgentes Sur No. 3877, Col. La Fama, C.P. 14269 Mexico City, Mexico
| | - Janet Jiménez-Genchi
- Research Unit, Hospital Psiquiátrico Fray Bernardino Álvarez, Mexico City, Mexico
| | - Yessica M. Alcántara-Flores
- grid.419204.a0000 0000 8637 5954Laboratory of Neurotoxicology, Instituto Nacional de Neurología y Neurocirugía, “Manuel Velasco Suárez”, SS, Av. Insurgentes Sur No. 3877, Col. La Fama, C.P. 14269 Mexico City, Mexico
| | | | - Carlos L. Aviña-Cervantes
- grid.419204.a0000 0000 8637 5954Department of Psychiatry, Instituto Nacional de Neurología y Neurocirugía, “Manuel Velasco Suárez”, SS, Av. Insurgentes Sur No. 3877, Col. La Fama, C.P. 14269 Mexico City, Mexico
| | - Petra Yescas
- grid.419204.a0000 0000 8637 5954Department of Genetics, Instituto Nacional de Neurología y Neurocirugía, “Manuel Velasco Suárez”, SS, Av. Insurgentes Sur No. 3877, Col. La Fama, C.P. 14269 Mexico City, Mexico
| | | | - Nancy Martínez-Rodríguez
- grid.414757.40000 0004 0633 3412Epidemiology, Endocrinology & Nutrition Research Unit, Hospital Infantil de México “Federico Gómez”, Mexico City, Mexico
| | - Antonio Ríos-Ortiz
- Research Unit, Hospital Psiquiátrico Fray Bernardino Álvarez, Mexico City, Mexico
| | - Martha González-González
- grid.419204.a0000 0000 8637 5954Unit of Cognition and Behavior, Instituto Nacional de Neurología y Neurocirugía, “Manuel Velasco Suárez”, SS, Av. Insurgentes Sur No. 3877, Col. La Fama, C.P. 14269 Mexico City, Mexico
| | - María E. López-Navarro
- grid.419204.a0000 0000 8637 5954Laboratory of Neurotoxicology, Instituto Nacional de Neurología y Neurocirugía, “Manuel Velasco Suárez”, SS, Av. Insurgentes Sur No. 3877, Col. La Fama, C.P. 14269 Mexico City, Mexico
| | - Patricia Rojas
- Laboratory of Neurotoxicology, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", SS, Av. Insurgentes Sur No. 3877, Col. La Fama, C.P. 14269, Mexico City, Mexico.
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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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Choudhary S, Subodh BN, Grover S. Social cognition in siblings of patients with bipolar disorders. Ind Psychiatry J 2021; 30:157-164. [PMID: 34483542 PMCID: PMC8395551 DOI: 10.4103/ipj.ipj_25_21] [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: 02/24/2021] [Revised: 04/28/2021] [Accepted: 05/30/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Identifying people at risk of developing bipolar disorder (BD) using endophenotypes is of recent interest. Few studies on social cognition in first-degree relatives of patients with BD have shown inconsistent findings. This study aimed to evaluate the social cognitive deficits (SCD) and its correlates among siblings of patients with BD. METHODOLOGY In this cross-sectional study, patients of BD (n = 32), their siblings (n = 32), and healthy control (HC) subjects (n = 38) matched for age, gender, and education were evaluated on social cognition rating tools in Indian setting and neurocognitive tests (color trail test, Wisconsin card sorting test [WCST], and Hopkin's verbal learning test [HVLT]). RESULTS When the siblings of patients with BD were compared with patients with BD and the HCs, siblings (mean 0.6 [standard deviation [SD]: 0.2]) performed worse than the HCs (mean 0.9 [SD: 0.1]) (P ≤ 0.001) on the Faux pas composite index. Compared to HCs, siblings performed worse on all the subtests of HVLT (Trial delayed) (P < 0.001) and WCST (total correct, total errors, and conceptual responses) (P < 0.001). CONCLUSION Presence of elevated level of SCD among siblings, especially the Faux pas composite index in comparison to HCs, imply that these are stable traits, which are more often present in the patients and at risk individuals. This implies that SCD can be considered as another important endophenotype for BD.
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Affiliation(s)
| | - B N Subodh
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Sandeep Grover
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
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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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