Social Cognitive Networks and Social Cognitive Performance Across Individuals With Schizophrenia Spectrum Disorders and Healthy Control Participants.

Cognition / physiology Cognition Disorders Cognitive Dysfunction Humans Magnetic Resonance Imaging Schizophrenia
Empathic accuracy Functional connectivity Graph theory Research domain criteria Schizophrenia spectrum disorders Social cognition

Journal

Biological psychiatry. Cognitive neuroscience and neuroimaging
ISSN: 2451-9030
Titre abrégé: Biol Psychiatry Cogn Neurosci Neuroimaging
Pays: United States
ID NLM: 101671285

Informations de publication

Date de publication:
12 2021
Historique:
received: 22 07 2020
revised: 17 11 2020
accepted: 30 11 2020
pubmed: 14 2 2021
medline: 24 3 2022
entrez: 13 2 2021
Statut: ppublish

Résumé

Schizophrenia spectrum disorders (SSDs) feature social cognitive deficits, although their neural basis remains unclear. Social cognitive performance may relate to neural circuit activation patterns more than to diagnosis, which would have important prognostic and therapeutic implications. The current study aimed to determine how functional connectivity within and between social cognitive networks relates to social cognitive performance across individuals with SSDs and healthy control participants. Participants with SSDs (n = 164) and healthy control participants (n = 117) completed the Empathic Accuracy task during functional magnetic resonance imaging as well as lower-level (e.g., emotion recognition) and higher-level (e.g., theory of mind) social cognitive measures outside the scanner. Functional connectivity during the Empathic Accuracy task was analyzed using background connectivity and graph theory. Data-driven social cognitive networks were identified across participants. Regression analyses were used to examine network connectivity-performance relationships across individuals. Positive and negative within- and between-network connectivity strengths were also compared in poor versus good social cognitive performers and in SSD versus control groups. Three social cognitive networks were identified: motor resonance, affect sharing, and mentalizing. Regression and group-based analyses demonstrated reduced between-network negative connectivity, or segregation, and greater within- and between-network positive connectivity in worse social cognitive performers. There were no significant effects of diagnostic group on within- or between-network connectivity. These findings suggest that the neural circuitry of social cognitive performance may exist dimensionally. Across participants, better social cognitive performance was associated with greater segregation between social cognitive networks, whereas poor versus good performers may compensate via hyperconnectivity within and between social cognitive networks.

Sections du résumé

BACKGROUND
Schizophrenia spectrum disorders (SSDs) feature social cognitive deficits, although their neural basis remains unclear. Social cognitive performance may relate to neural circuit activation patterns more than to diagnosis, which would have important prognostic and therapeutic implications. The current study aimed to determine how functional connectivity within and between social cognitive networks relates to social cognitive performance across individuals with SSDs and healthy control participants.
METHODS
Participants with SSDs (n = 164) and healthy control participants (n = 117) completed the Empathic Accuracy task during functional magnetic resonance imaging as well as lower-level (e.g., emotion recognition) and higher-level (e.g., theory of mind) social cognitive measures outside the scanner. Functional connectivity during the Empathic Accuracy task was analyzed using background connectivity and graph theory. Data-driven social cognitive networks were identified across participants. Regression analyses were used to examine network connectivity-performance relationships across individuals. Positive and negative within- and between-network connectivity strengths were also compared in poor versus good social cognitive performers and in SSD versus control groups.
RESULTS
Three social cognitive networks were identified: motor resonance, affect sharing, and mentalizing. Regression and group-based analyses demonstrated reduced between-network negative connectivity, or segregation, and greater within- and between-network positive connectivity in worse social cognitive performers. There were no significant effects of diagnostic group on within- or between-network connectivity.
CONCLUSIONS
These findings suggest that the neural circuitry of social cognitive performance may exist dimensionally. Across participants, better social cognitive performance was associated with greater segregation between social cognitive networks, whereas poor versus good performers may compensate via hyperconnectivity within and between social cognitive networks.

Identifiants

DOI: 10.1016/j.bpsc.2020.11.014 PMID: 33579663 PMC: PMC9289871
pubmed: 33579663
pii: S2451-9022(20)30356-6
doi: 10.1016/j.bpsc.2020.11.014
pmc: PMC9289871
mid: NIHMS1652312
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1202-1214

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH102313
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH102318
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH102324
Pays : United States

Informations de copyright

Copyright © 2020 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

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Auteurs

Lindsay D Oliver (LD)

Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.

Colin Hawco (C)

Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.

Philipp Homan (P)

University Hospital of Psychiatry, University of Zurich, Zurich, Switzerland; Division of Psychiatry Research, Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York; Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York.

Junghee Lee (J)

Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles; Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, California; Department of Psychiatry and Behavioral Neurobiology, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.

Michael F Green (MF)

Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles; Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, California.

James M Gold (JM)

Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.

Pamela DeRosse (P)

Division of Psychiatry Research, Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York; Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York.

Miklos Argyelan (M)

Division of Psychiatry Research, Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York; Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York.

Anil K Malhotra (AK)

Division of Psychiatry Research, Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York; Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York.

Robert W Buchanan (RW)

Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.

Aristotle N Voineskos (AN)

Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Electronic address: aristotle.voineskos@camh.ca.

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Classifications MeSH

questionsmedicales.fr › Phénomènes psychologiques › Processus mentaux › Cognition › Social Cognitive Networks and Social Cognitive...
questionsmedicales.fr › Troubles mentaux › Troubles neurocognitifs › Troubles de la cognition › Social Cognitive Networks and Social Cognitive...
questionsmedicales.fr › Troubles mentaux › Troubles neurocognitifs › Troubles de la cognition › Dysfonctionnement cognitif › Social Cognitive Networks and Social Cognitive...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Social Cognitive Networks and Social Cognitive...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Social Cognitive Networks and Social Cognitive...
questionsmedicales.fr › Troubles mentaux › Schizophrénie et troubles avec traits psychotiques › Schizophrénie › Social Cognitive Networks and Social Cognitive...