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Bosma MJ, Marsman M, Vermeulen JM, Huth KBS, de Haan L, Alizadeh BZ, Simons CJC, Schirmbeck F. Exploring the Interactions Between Psychotic Symptoms, Cognition, and Environmental Risk Factors: A Bayesian Analysis of Networks. Schizophr Bull 2024:sbae174. [PMID: 39401320 DOI: 10.1093/schbul/sbae174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2024]
Abstract
BACKGROUND AND HYPOTHESIS Psychotic disorders (PDs) have huge personal and societal impact, and efforts to improve outcomes in patients are continuously needed. Environmental risk factors (ERFs), especially modifiable risk factors, are important to study because they pose a target for intervention and prevention. No studies have investigated ERFs, cognition, and psychotic symptoms together in a network approach. STUDY DESIGN We explored interactions between 3 important ERFs (tobacco smoking, cannabis use, and childhood trauma), 6 cognitive domains, and 3 dimensions of symptoms in psychosis. From the Genetic Risk and Outcome of Psychosis (GROUP) cohort, we used data from patients, siblings, and healthy controls to construct networks using Bayesian analyses of all 12 variables. We constructed networks of the combined sample and of patients and siblings separately. STUDY RESULTS We found that tobacco smoking was directly associated with cognition and psychotic symptoms. The cognitive variable processing speed was the most central node, connecting clusters of psychotic symptoms and substance use through the variables of positive symptoms and tobacco smoking. Comparing the networks of patients and siblings, we found that networks were relatively similar between patients and siblings. CONCLUSIONS Our results support a potential central role of processing speed deficits in PDs. Findings highlight the importance of integrating tobacco smoking as potential ERFs in the context of PDs and to broaden the perspective from cannabis discontinuation to smoking cessation programs in patients or people at risk of PDs.
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Affiliation(s)
- Minke J Bosma
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Maarten Marsman
- Department of Psychology, University of Amsterdam, 1018 WT, Amsterdam, The Netherlands
| | - Jentien M Vermeulen
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Karoline B S Huth
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
- Department of Psychology, University of Amsterdam, 1018 WT, Amsterdam, The Netherlands
- Centre for Urban Mental Health, University of Amsterdam, 1105 AZ, Amsterdam, Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
- Arkin, Institute for Mental Health, 1033 NN, Amsterdam, The Netherlands
| | - Behrooz Z Alizadeh
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, 9713 GZ, Groningen, The Netherlands
- Department of Epidemiology, University of Groningen and University Medical Centre Groningen, 9713 GZ, Groningen, The Netherlands
| | - Claudia J C Simons
- Maastricht University Medical Centre, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, 6229 HX, Maastricht, The Netherlands
- GGzE Institute for Mental Health Care, 5626ND, Eindhoven, The Netherlands
| | - Frederike Schirmbeck
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68167, Mannheim, Germany
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Contreras-Somoza LM, Toribio-Guzmán JM, Irazoki E, Viñas-Rodríguez MJ, Gil-Martínez S, Castaño-Aguado M, Lucas-Cardoso E, Parra-Vidales E, Perea-Bartolomé MV, Franco-Martín MÁ. Usability and user experience impressions of older adults with cognitive impairment and people with schizophrenia towards GRADIOR, a cognitive rehabilitation program: A cross-sectional study. Health Informatics J 2024; 30:14604582241295938. [PMID: 39492120 DOI: 10.1177/14604582241295938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2024]
Abstract
OBJECTIVE The aim of this study was to evaluate and compare the impressions of older adults with mild dementia/MCI (mild cognitive impairment) and people with schizophrenia towards the usability of GRADIOR (version 4.5) and their user experience (UX) with this computerized cognitive rehabilitation program. METHODS The impressions towards the usability of GRADIOR and the UX of 41 older adults with mild dementia/MCI and 41 people with schizophrenia were obtained using the User Experience Questionnaire. RESULTS Older adults with dementia/MCI had more positive impressions than people with schizophrenia. Both agreed that its quality was lower in Dependability. CONCLUSION GRADIOR meets users' needs and preferences but needs improvements to ensure they feel more in control when interacting with it. For people with schizophrenia, other aspects of usability and UX need improvement. Usability and UX evaluation allow the verification of technological acceptability and functionality, and to identifying specific improvements for each user group.
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Affiliation(s)
- Leslie María Contreras-Somoza
- Department of Personality, Evaluation and Psychological Treatments, Faculty of Psychology, University of Salamanca, Salamanca, Spain
- Psycho-Sciences Research Group, Institute for Biomedical Research of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain
| | - José Miguel Toribio-Guzmán
- Department of Personality, Evaluation and Psychological Treatments, Faculty of Psychology, University of Salamanca, Salamanca, Spain
- Department of Research and Development, Iberian Institute of Research in Psycho-Sciences, INTRAS Foundation, Zamora, Spain
| | - Eider Irazoki
- Department of Personality, Evaluation and Psychological Treatments, Faculty of Psychology, University of Salamanca, Salamanca, Spain
| | | | | | | | | | - Esther Parra-Vidales
- Psycho-Sciences Research Group, Institute for Biomedical Research of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain
| | - María Victoria Perea-Bartolomé
- Department of Basic Psychology, Psychobiology, and Behavioral Sciences Methodology, Faculty of Psychology, University of Salamanca, Salamanca, Spain
| | - Manuel Ángel Franco-Martín
- Department of Personality, Evaluation and Psychological Treatments, Faculty of Psychology, University of Salamanca, Salamanca, Spain
- Psycho-Sciences Research Group, Institute for Biomedical Research of Salamanca (IBSAL), University of Salamanca, Salamanca, Spain
- Department of Psychiatry, Zamora Provincial Hospital, Zamora, Spain
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Ragazzi TCC, Shuhama R, da Silva PHR, Corsi-Zuelli F, Loureiro CM, da Roza DL, Leoni RF, Menezes PR, Del-Ben CM. Neurocognition and brain functional connectivity in a non-clinical population-based sample with psychotic experiences. Schizophr Res 2024; 267:156-164. [PMID: 38547718 DOI: 10.1016/j.schres.2024.03.026] [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: 06/12/2023] [Revised: 01/17/2024] [Accepted: 03/17/2024] [Indexed: 05/21/2024]
Abstract
We characterized the neurocognitive profile of communed-based individuals and unaffected siblings of patients with psychosis from Brazil reporting psychotic experiences (PEs). We also analyzed associations between PEs and the intra and inter-functional connectivity (FC) in the Default Mode Network (DMN), the Fronto-Parietal Network (FPN) and the Salience Network (SN) measured by functional magnetic resonance imaging. The combined sample of communed-based individuals and unaffected siblings of patients with psychosis comprised 417 (neurocognition) and 85 (FC) volunteers who were divided as having low (<75th percentile) and high (≥75th percentile) PEs (positive, negative, and depressive dimensions) assessed by the Community Assessment of Psychic Experiences. The neurocognitive profile and the estimated current brief intellectual quotient (IQ) were assessed using the digit symbol (processing speed), arithmetic (working memory), block design (visual learning) and information (verbal learning) subtests of Wechsler Adult Intelligence Scale-third edition. Logistic regression models were performed for neurocognitive analysis. For neuroimaging, we used the CONN toolbox to assess FC between the specified regions, and ROI-to-ROI analysis. In the combined sample, high PEs (all dimensions) were related to lower processing speed performance. High negative PEs were related to poor visual learning performance and lower IQ, while high depressive PEs were associated with poor working memory performance. Those with high negative PEs presented FPN hypoconnectivity between the right and left lateral prefrontal cortex. There were no associations between PEs and the DMN and SN FC. Brazilian individuals with high PEs showed neurocognitive impairments like those living in wealthier countries. Hypoconnectivity in the FPN in a community sample with high PEs is coherent with the hypothesis of functional dysconnectivity in schizophrenia.
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Affiliation(s)
- Taciana Cristina Carvalho Ragazzi
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
| | - Rosana Shuhama
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
| | - Pedro Henrique Rodrigues da Silva
- Department of Physics, InBrain Laboratory, Faculty of Philosophy Sciences and Letters of Ribeirão Preto-University of Sao Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-901 Ribeirão Preto, São Paulo, Brazil.
| | - Fabiana Corsi-Zuelli
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
| | - Camila Marcelino Loureiro
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
| | - Daiane Leite da Roza
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil; Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, SP, Brazil.
| | - Renata Ferranti Leoni
- Department of Physics, InBrain Laboratory, Faculty of Philosophy Sciences and Letters of Ribeirão Preto-University of Sao Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-901 Ribeirão Preto, São Paulo, Brazil.
| | - Paulo Rossi Menezes
- Department of Preventive Medicine, Faculty of Medicine, University of São Paulo, Brazil, Population Mental Health Research Centre, Brazil, 455, Dr. Arnaldo Avenue, Cerqueira César, 01246903 São Paulo, São Paulo, Brazil.
| | - Cristina Marta Del-Ben
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
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Abplanalp SJ, Lee J, Horan WP, Kern RS, Penn DL, Green MF. A Bayesian Network Approach to Social and Nonsocial Cognition in Schizophrenia: Are Some Domains More Fundamental than Others? Schizophr Bull 2023; 49:997-1006. [PMID: 36869810 PMCID: PMC10318874 DOI: 10.1093/schbul/sbad012] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Abstract
OBJECTIVES Social and nonsocial cognition are defined as distinct yet related constructs. However, the relative independence of individual variables-and whether specific tasks directly depend on performance in other tasks-is still unclear. The current study aimed to answer this question by using a Bayesian network approach to explore directional dependencies among social and nonsocial cognitive domains. STUDY DESIGN The study sample comprised 173 participants with schizophrenia (71.7% male; 28.3% female). Participants completed 5 social cognitive tasks and the MATRICS Consensus Cognitive Battery. We estimated Bayesian networks using directed acyclic graph structures to examine directional dependencies among the variables. STUDY RESULTS After accounting for negative symptoms and demographic variables, including age and sex, all nonsocial cognitive variables depended on processing speed. More specifically, attention, verbal memory, and reasoning and problem solving solely depended on processing speed, while a causal chain emerged between processing speed and visual memory (processing speed → attention → working memory → visual memory). Social processing variables within social cognition, including emotion in biological motion and empathic accuracy, depended on facial affect identification. CONCLUSIONS These results suggest that processing speed and facial affect identification are fundamental domains of nonsocial and social cognition, respectively. We outline how these findings could potentially help guide specific interventions that aim to improve social and nonsocial cognition in people with schizophrenia.
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Affiliation(s)
- Samuel J Abplanalp
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Junghee Lee
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham AL, USA
| | - William P Horan
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- WCG VeraSci, Durham, NC, USA
| | - Robert S Kern
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - David L Penn
- Departement of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chappel Hill, NC, USA
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Michael F Green
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
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Haigh SM, Berryhill ME, Kilgore-Gomez A, Dodd M. Working memory and sensory memory in subclinical high schizotypy: An avenue for understanding schizophrenia? Eur J Neurosci 2023; 57:1577-1596. [PMID: 36895099 PMCID: PMC10178355 DOI: 10.1111/ejn.15961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 03/07/2023] [Indexed: 03/11/2023]
Abstract
The search for robust, reliable biomarkers of schizophrenia remains a high priority in psychiatry. Biomarkers are valuable because they can reveal the underlying mechanisms of symptoms and monitor treatment progress and may predict future risk of developing schizophrenia. Despite the existence of various promising biomarkers that relate to symptoms across the schizophrenia spectrum, and despite published recommendations encouraging multivariate metrics, they are rarely investigated simultaneously within the same individuals. In those with schizophrenia, the magnitude of purported biomarkers is complicated by comorbid diagnoses, medications and other treatments. Here, we argue three points. First, we reiterate the importance of assessing multiple biomarkers simultaneously. Second, we argue that investigating biomarkers in those with schizophrenia-related traits (schizotypy) in the general population can accelerate progress in understanding the mechanisms of schizophrenia. We focus on biomarkers of sensory and working memory in schizophrenia and their smaller effects in individuals with nonclinical schizotypy. Third, we note irregularities across research domains leading to the current situation in which there is a preponderance of data on auditory sensory memory and visual working memory, but markedly less in visual (iconic) memory and auditory working memory, particularly when focusing on schizotypy where data are either scarce or inconsistent. Together, this review highlights opportunities for researchers without access to clinical populations to address gaps in knowledge. We conclude by highlighting the theory that early sensory memory deficits contribute negatively to working memory and vice versa. This presents a mechanistic perspective where biomarkers may interact with one another and impact schizophrenia-related symptoms.
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Affiliation(s)
- Sarah M. Haigh
- Department of Psychology, Center for Integrative Neuroscience, Programs in Cognitive and Brain Sciences, and Neuroscience, University of Nevada, Reno, Nevada, USA
| | - Marian E. Berryhill
- Department of Psychology, Center for Integrative Neuroscience, Programs in Cognitive and Brain Sciences, and Neuroscience, University of Nevada, Reno, Nevada, USA
| | - Alexandrea Kilgore-Gomez
- Department of Psychology, Center for Integrative Neuroscience, Programs in Cognitive and Brain Sciences, and Neuroscience, University of Nevada, Reno, Nevada, USA
| | - Michael Dodd
- Department of Psychology, University of Nebraska, Lincoln, Nebraska, USA
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6
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Roux P, Faivre N, Urbach M, Aouizerate B, Brunel L, Capdevielle D, Chereau I, Dubertret C, Dubreucq J, Fond G, Lançon C, Leignier S, Mallet J, Misdrahi D, Pires S, Schneider P, Schurhoff F, Yazbek H, Zinetti-Bertschy A, Passerieux C, Brunet-Gouet E. Relationships between neuropsychological performance, insight, medication adherence, and social metacognition in schizophrenia. Schizophr Res 2023; 252:48-55. [PMID: 36623435 DOI: 10.1016/j.schres.2022.12.037] [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: 09/29/2021] [Revised: 08/24/2022] [Accepted: 12/28/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND Social metacognition is still poorly understood in schizophrenia, particularly its neuropsychological basis and its impact on insight and medication adherence. We therefore quantified social metacognition as the agreement between objective and subjective mentalization and assessed its correlates in a sample of individuals with schizophrenia spectrum disorders. METHODS Participants consisted of 143 patients with schizophrenia or schizoaffective disorders who underwent a metacognitive version of a mentalization task, an extensive neuropsychological battery, and a clinical evaluation to assess their insight into illness and medication adherence. We studied potential interactions between confidence judgments and several neuropsychological and clinical variables on mentalization accuracy with mixed-effects multiple logistic regressions. RESULTS Confidence judgments were closely associated with mentalization accuracy, indicative of good social metacognition in this task. Working memory, visual memory, and reasoning and problem-solving were the three neuropsychological dimensions positively associated with metacognition. By contrast, the two measures of medication adherence were associated with poorer metacognition, whereas no association was found between metacognition and clinical insight. The multiple regression model showed a significant positive impact of better working memory, older age at onset, longer duration of hospitalization, and worse medication adherence on social metacognition. CONCLUSIONS We discuss possible mechanisms underlying the apparent association between social metacognition and working memory. Adherence should be monitored when remediating social metacognition, and psychoeducation should be given to patients with a high level of awareness of their capacity to mentalize.
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Affiliation(s)
- Paul Roux
- Fondation Fondamental, Créteil, France; Centre Hospitalier de Versailles, Service Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie, Le Chesnay, France; Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, DisAP-DevPsy-CESP, INSERM UMR1018, 94807 Villejuif, France.
| | - Nathan Faivre
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
| | - Mathieu Urbach
- Fondation Fondamental, Créteil, France; Centre Hospitalier de Versailles, Service Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie, Le Chesnay, France; Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, DisAP-DevPsy-CESP, INSERM UMR1018, 94807 Villejuif, France
| | - Bruno Aouizerate
- Fondation Fondamental, Créteil, France; Department of Adult Psychiatry, Charles Perrens Hospital, F-33076 Bordeaux, France; Laboratory of Nutrition and Integrative Neurobiology (UMR INRA 1286), University of Bordeaux, France
| | - Lore Brunel
- Fondation Fondamental, Créteil, France; INSERM U955, Translational Psychiatry Team, AP-HP Mondor University Hospital, DHU Pe-PSY, Schizophrenia Expert Center, 40 rue de Mesly, 94000 Creteil, France
| | - Delphine Capdevielle
- Fondation Fondamental, Créteil, France; University Department of Adult Psychiatry, Hospital La Colombière, CHU Montpellier, France; INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France; University of Montpellier, Montpellier, France
| | - Isabelle Chereau
- Fondation Fondamental, Créteil, France; CHU Clermont-Ferrand, Service de Psychiatrie B, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Caroline Dubertret
- Fondation Fondamental, Créteil, France; AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, France; Inserm UMR1266, Institute of Psychiatry and Neuroscience of Paris, Paris Descartes University, France; Université Paris Diderot, Sorbonne Paris Cité, Faculté de Médecine, France
| | - Julien Dubreucq
- Fondation Fondamental, Créteil, France; Psychosocial Rehabilitation Reference Centre, Alpes Isère Hospital, Grenoble, France
| | - Guillaume Fond
- Fondation Fondamental, Créteil, France; La Conception Hospital, AP-HM, Aix-Marseille Univ, 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
| | - Christophe Lançon
- Fondation Fondamental, Créteil, France; Ste Marguerite Hospital, AP-HM, Aix-Marseille Univ, 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
| | - Sylvain Leignier
- Fondation Fondamental, Créteil, France; Psychosocial Rehabilitation Reference Centre, Alpes Isère Hospital, Grenoble, France
| | - Jasmina Mallet
- Fondation Fondamental, Créteil, France; University Department of Adult Psychiatry, Hospital La Colombière, CHU Montpellier, France
| | - David Misdrahi
- Fondation Fondamental, Créteil, France; Department of Adult Psychiatry, Charles Perrens Hospital, F-33076 Bordeaux, France; University of Bordeaux, CNRS UMR 5287-INCIA, Bordeaux, France
| | - Sylvie Pires
- Fondation Fondamental, Créteil, France; CHU Clermont-Ferrand, Service de Psychiatrie B, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Priscille Schneider
- Fondation Fondamental, Créteil, France; University Hospital of Strasbourg, Department of Psychiatry, University of Strasbourg, Strasbourg, France; Inserm U1114, Strasbourg, France
| | - Franck Schurhoff
- Fondation Fondamental, Créteil, France; INSERM U955, Translational Psychiatry Team, AP-HP Mondor University Hospital, DHU Pe-PSY, Schizophrenia Expert Center, 40 rue de Mesly, 94000 Creteil, France
| | - Hanan Yazbek
- Fondation Fondamental, Créteil, France; University Department of Adult Psychiatry, Hospital La Colombière, CHU Montpellier, France; INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France; University of Montpellier, Montpellier, France
| | - Anna Zinetti-Bertschy
- Fondation Fondamental, Créteil, France; University Hospital of Strasbourg, Department of Psychiatry, University of Strasbourg, Strasbourg, France; Inserm U1114, Strasbourg, France
| | - Christine Passerieux
- Fondation Fondamental, Créteil, France; Centre Hospitalier de Versailles, Service Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie, Le Chesnay, France; Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, DisAP-DevPsy-CESP, INSERM UMR1018, 94807 Villejuif, France
| | - Eric Brunet-Gouet
- Fondation Fondamental, Créteil, France; Centre Hospitalier de Versailles, Service Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie, Le Chesnay, France; Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, DisAP-DevPsy-CESP, INSERM UMR1018, 94807 Villejuif, France
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Advances in Cognitive Remediation Training in Schizophrenia: A Review. Brain Sci 2022; 12:brainsci12020129. [PMID: 35203893 PMCID: PMC8870375 DOI: 10.3390/brainsci12020129] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/07/2022] [Accepted: 01/14/2022] [Indexed: 11/16/2022] Open
Abstract
Cognitive Remediation Training (CRT) in schizophrenia has made great strides since its introduction in the 1990s. CRT was developed with the aim of improving the everyday functioning of individuals living with cognitive impairment. MEDLINE, PsychINFO, and Google Scholar were searched to extract peer-reviewed randomized controlled trials to produce the current review article. The aim of the present review is to summarize CRT effects on addressing cognitive changes in patients undergoing CRT as defined by the Cognitive Remediation Experts Workshop and to describe the areas of greatest impact in specific cognitive domains. Another area of this review aims to summarize the modalities of intervention (paper and pencil; computerized; home bound), the persistence of improvements, and their generalization to other domains of functioning. Finally, this review delineates barriers for wider dissemination of CRT, such as the transfer of research findings into clinical everyday practice and future developments of CRT.
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A Preliminary Study of the Cognitive Correlates and Efficacy of Working Memory Training for Comorbid Problem Gambling and Schizophrenia Spectrum Disorders. CANADIAN JOURNAL OF ADDICTION 2021. [DOI: 10.1097/cxa.0000000000000102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Randers L, Jepsen JRM, Fagerlund B, Nordholm D, Krakauer K, Hjorthøj C, Glenthøj B, Nordentoft M. Generalized neurocognitive impairment in individuals at ultra-high risk for psychosis: The possible key role of slowed processing speed. Brain Behav 2021; 11:e01962. [PMID: 33486897 PMCID: PMC7994693 DOI: 10.1002/brb3.1962] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 10/06/2020] [Accepted: 10/25/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Widespread neurocognitive impairment is well-established in individuals at ultra-high risk (UHR) for developing psychoses, but it is unknown whether slowed processing speed may underlie impairment in other neurocognitive domains, as found in schizophrenia. The study delineated domain functioning in a UHR sample and examined if neurocognitive slowing might account for deficits across domains. METHODS The cross-sectional study included 50 UHR individuals with no (n = 38) or minimal antipsychotic exposure (n = 12; mean lifetime dose of haloperidol equivalent = 17.56 mg; SD = 13.04) and 50 matched healthy controls. Primary analyses compared group performance across neurocognitive domains before and after covarying for processing speed. To examine the specificity of processing speed effects, post hoc analyses examined the impact of the other neurocognitive domains and intelligence as covariates. RESULTS UHR individuals exhibited significant impairment across all neurocognitive domains (all ps ≤ .010), with medium to large effect sizes (Cohen's ds = -0.53 to -1.12). Only processing speed used as covariate eliminated significant between-group differences in all other domains, reducing unadjusted Cohen's d values with 68% on average, whereas the other domains used as covariates averagely reduced unadjusted Cohen's d values with 20% to 48%. When covarying each of the other domains after their shared variance with speed of processing was removed, all significant between-group domain differences remained (all ps ≤ .024). CONCLUSION Slowed processing speed may underlie generalized neurocognitive impairment in UHR individuals and represent a potential intervention target.
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Affiliation(s)
- Lasse Randers
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Faculty of Health and Medical SciencesDepartment of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | - Jens Richardt Møllegaard Jepsen
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Center for Neuropsychiatric Schizophrenia Research (CNSR)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Child and Adolescent Mental Health CenterMental Health Services Capital Region of DenmarkCopenhagen University HospitalDenmark
| | - Birgitte Fagerlund
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Center for Neuropsychiatric Schizophrenia Research (CNSR)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Faculty of Social SciencesDepartment of PsychologyUniversity of CopenhagenCopenhagenDenmark
| | - Dorte Nordholm
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Functional Imaging UnitDepartment of Clinical Physiology, Nuclear Medicine and PETCopenhagen University Hospital RigshospitaletGlostrupDenmark
| | - Kristine Krakauer
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Functional Imaging UnitDepartment of Clinical Physiology, Nuclear Medicine and PETCopenhagen University Hospital RigshospitaletGlostrupDenmark
| | - Carsten Hjorthøj
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Faculty of Health and Medical SciencesDepartment of Public HealthSection of EpidemiologyUniversity of CopenhagenCopenhagenDenmark
| | - Birte Glenthøj
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Faculty of Health and Medical SciencesDepartment of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
- Center for Neuropsychiatric Schizophrenia Research (CNSR)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
| | - Merete Nordentoft
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Faculty of Health and Medical SciencesDepartment of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
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10
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Meyers JL, Chorlian DB, Bigdeli TB, Johnson EC, Aliev F, Agrawal A, Almasy L, Anokhin A, Edenberg HJ, Foroud T, Goate A, Kamarajan C, Kinreich S, Nurnberger J, Pandey AK, Pandey G, Plawecki MH, Salvatore JE, Zhang J, Fanous A, Porjesz B. The association of polygenic risk for schizophrenia, bipolar disorder, and depression with neural connectivity in adolescents and young adults: examining developmental and sex differences. Transl Psychiatry 2021; 11:54. [PMID: 33446638 PMCID: PMC7809462 DOI: 10.1038/s41398-020-01185-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 12/15/2020] [Accepted: 12/17/2020] [Indexed: 02/03/2023] Open
Abstract
Neurodevelopmental abnormalities in neural connectivity have been long implicated in the etiology of schizophrenia (SCZ); however, it remains unclear whether these neural connectivity patterns are associated with genetic risk for SCZ in unaffected individuals (i.e., an absence of clinical features of SCZ or a family history of SCZ). We examine whether polygenic risk scores (PRS) for SCZ are associated with functional neural connectivity in adolescents and young adults without SCZ, whether this association is moderated by sex and age, and if similar associations are observed for genetically related neuropsychiatric PRS. One-thousand four-hundred twenty-six offspring from 913 families, unaffected with SCZ, were drawn from the Collaborative Study of the Genetics of Alcoholism (COGA) prospective cohort (median age at first interview = 15.6 (12-26), 51.6% female, 98.1% European American, 41% with a family history of alcohol dependence). Participants were followed longitudinally with resting-state EEG connectivity (i.e., coherence) assessed every two years. Higher SCZ PRS were associated with elevated theta (3-7 Hz) and alpha (7-12 Hz) EEG coherence. Associations differed by sex and age; the most robust associations were observed between PRS and parietal-occipital, central-parietal, and frontal-parietal alpha coherence among males between ages 15-19 (B: 0.15-0.21, p < 10-4). Significant associations among EEG coherence and Bipolar and Depression PRS were observed, but differed from SCZ PRS in terms of sex, age, and topography. Findings reveal that polygenic risk for SCZ is robustly associated with increased functional neural connectivity among young adults without a SCZ diagnosis. Striking differences were observed between men and women throughout development, mapping onto key periods of risk for the onset of psychotic illness and underlining the critical importance of examining sex differences in associations with neuropsychiatric PRS across development.
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Affiliation(s)
- J. L. Meyers
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - D. B. Chorlian
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - T. B. Bigdeli
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - E. C. Johnson
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - F. Aliev
- grid.224260.00000 0004 0458 8737Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA 23284 USA ,grid.440448.80000 0004 0384 3505Faculty of Business, Karabuk University, Karabuk, Turkey
| | - A. Agrawal
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - L. Almasy
- grid.25879.310000 0004 1936 8972Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - A. Anokhin
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - H. J. Edenberg
- grid.257413.60000 0001 2287 3919Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202 USA ,grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - T. Foroud
- grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - A. Goate
- grid.59734.3c0000 0001 0670 2351Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,grid.59734.3c0000 0001 0670 2351Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - C. Kamarajan
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - S. Kinreich
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - J. Nurnberger
- grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - A. K. Pandey
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - G. Pandey
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - M. H. Plawecki
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA ,grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - J. E. Salvatore
- grid.224260.00000 0004 0458 8737Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA 23284 USA ,grid.224260.00000 0004 0458 8737Virginia Institute of Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23284 USA
| | - J. Zhang
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - A. Fanous
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - B. Porjesz
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
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11
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Dawes C, Danielmeier C, Haselgrove M, Moran PM. High Schizotypy Predicts Emotion Recognition Independently of Negative Affect. Front Psychiatry 2021; 12:738344. [PMID: 34630186 PMCID: PMC8495418 DOI: 10.3389/fpsyt.2021.738344] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 08/20/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Deficits in Emotion Recognition (ER) contribute significantly to poorer functional outcomes in people with schizophrenia. However, rather than reflecting a core symptom of schizophrenia, reduced ER has been suggested to reflect increased mood disorder co-morbidity and confounds of patient status such as medication. We investigated whether ER deficits are replicable in psychometrically defined schizotypy, and whether this putative association is mediated by increased negative affect. Methods: Two hundred and nine participants between the ages of 18 and 69 (66% female) were recruited from online platforms: 80% held an undergraduate qualification or higher, 44% were current students, and 46% were in current employment. Participants were assessed on psychometric schizotypy using the O-LIFE which maps onto the same symptoms structure (positive, negative, and disorganised) as schizophrenia. Negative affect was assessed using the Depression Anxiety and Stress Scale (DASS-21). Emotion Recognition of both positive and negative emotions was assessed using the short version of the Geneva Emotion Recognition Task (GERT-S). Results: Negative schizotypy traits predicted poorer ER accuracy to negative emotions (β = -0.192, p = 0.002) as predicted. Unexpectedly, disorganised schizotypy traits predicted improved performance to negative emotions (β = 0.256, p = 0.007) (primarily disgust). Negative affect was found to be unrelated to ER performance of either valence (both p > 0.591). No measure predicted ER accuracy of positive emotions. Positive schizotypy traits were not found to predict either positive or negative ER accuracy. However, positive schizotypy predicted increased confidence in decisions and disorganised schizotypy predicted reduced confidence in decisions. Discussion: The replication of ER deficits in non-clinical negative schizotypy suggests that the association between negative symptoms and ER deficits in clinical samples may be independent of confounds of patient status (i.e., anti-psychotic medication). The finding that this association was independent of negative affect further suggests ER deficits in patients may also be independent of mood disorder co-morbidity. This association was not demonstrated for the positive symptom dimension of the O-LIFE, which may be due to low levels of this trait in the current sample.
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12
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Biagianti B, Fisher M, Loewy R, Brandrett B, Ordorica C, LaCross K, Schermitzler B, McDonald M, Ramsay I, Vinogradov S. Specificity and Durability of Changes in Auditory Processing Efficiency After Targeted Cognitive Training in Individuals With Recent-Onset Psychosis. Front Psychiatry 2020; 11:857. [PMID: 33005156 PMCID: PMC7484996 DOI: 10.3389/fpsyt.2020.00857] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 08/06/2020] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND We previously demonstrated that the high heterogeneity of response to computerized Auditory Training (AT) in psychosis can be ascribed to individual differences in sensory processing efficiency and neural plasticity. In particular, we showed that Auditory Processing Speed (APS) serves as a behavioral measure of target engagement, with faster speed predicting greater transfer effects to untrained cognitive domains. Here, we investigate whether the ability of APS to function as a proxy for target engagement is unique to AT, or if it applies to other training interventions, such as Executive Functioning Training (EFT). Additionally, we examine whether changes in APS are durable after these two forms of training. METHODS One hundred and twenty-five participants with Recent Onset Psychosis (ROP) were randomized to AT (n = 66) and EFT (n = 59), respectively. APS was captured at baseline, after treatment, and at 6-month follow-up. Mixed models repeated measures analysis with restricted maximum likelihood was used to examine whether training condition differentiated APS trajectories. Within-group correlational analyses were used to study the relationship between APS and performance improvements in each of the training exercises. RESULTS The two groups were matched for age, gender, education, and baseline APS. Participants showed high inter-individual variability in APS at each time point. The mixed model showed a significant effect of time (F = 5.99, p = .003) but not a significant group-by-time effect (F = .73, p = .48). This was driven by significant APS improvements AT patients after treatment (d = .75) that were maintained after 6 months (d = .63). Conversely, in EFT patients, APS improvements did not reach statistical significance after treatment (p = .33) or after 6 months (p = .24). In AT patients, baseline APS (but not APS change) highly predicted peak performance for each training exercise (all r's >.42). CONCLUSIONS Participant-specific speed in processing basic auditory stimuli greatly varies in ROP, and strongly influences the magnitude of response to auditory but not executive functioning training. Importantly, enhanced auditory processing efficiency persists 6 months after AT, suggesting the durability of neuroplasticity processes induced by this form of training. Future studies should aim to identify markers of target engagement and durability for cognitive training interventions that target sensory modalities beyond the auditory domain.
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Affiliation(s)
- Bruno Biagianti
- Department of R&D, Posit Science Corporation, San Francisco, CA, United States.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Melissa Fisher
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
| | - Rachel Loewy
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | | | - Catalina Ordorica
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Kristin LaCross
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Brandon Schermitzler
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
| | - Michelle McDonald
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
| | - Ian Ramsay
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
| | - Sophia Vinogradov
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
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