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Article: Common brain networks underlying human social interactions: Evidence from large-scale neuroimaging meta-analysis

TitleCommon brain networks underlying human social interactions: Evidence from large-scale neuroimaging meta-analysis
Authors
KeywordsLarge-scale brain networks
Meta-analysis
Neuroimaging
Social interaction
Issue Date2021
Citation
Neuroscience and Biobehavioral Reviews, 2021, v. 126, p. 289-303 How to Cite?
AbstractRecent overarching frameworks propose that various human social interactions are commonly supported by a set of fundamental neuropsychological processes, including social cognition, motivation, and cognitive control. However, it remains unclear whether brain networks implicated in these functional constructs are consistently engaged in diverse social interactions. Based on ample evidence from human brain imaging studies (342 contrasts, 7234 participants, 3328 foci), we quantitatively synthesized brain areas involved in broad domains of social interactions, including social interactions versus non-social contexts, positive/negative aspects of social interactions, social learning, and social norms. We then conducted brain network analysis on the ensuing brain regions and characterized the psychological function profiles of identified brain networks. Our findings revealed that brain regions consistently involved in diverse social interactions mapped onto default mode network, salience network, subcortical network and central executive network, which were respectively implicated in social cognition, motivation and cognitive control. These findings implicate a heuristic integrative framework to understand human social life from the perspective of component process and network integration.
Persistent Identifierhttp://hdl.handle.net/10722/330447
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.810
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorFeng, Chunliang-
dc.contributor.authorEickhoff, Simon B.-
dc.contributor.authorLi, Ting-
dc.contributor.authorWang, Li-
dc.contributor.authorBecker, Benjamin-
dc.contributor.authorCamilleri, Julia A.-
dc.contributor.authorHétu, Sébastien-
dc.contributor.authorLuo, Yi-
dc.date.accessioned2023-09-05T12:10:44Z-
dc.date.available2023-09-05T12:10:44Z-
dc.date.issued2021-
dc.identifier.citationNeuroscience and Biobehavioral Reviews, 2021, v. 126, p. 289-303-
dc.identifier.issn0149-7634-
dc.identifier.urihttp://hdl.handle.net/10722/330447-
dc.description.abstractRecent overarching frameworks propose that various human social interactions are commonly supported by a set of fundamental neuropsychological processes, including social cognition, motivation, and cognitive control. However, it remains unclear whether brain networks implicated in these functional constructs are consistently engaged in diverse social interactions. Based on ample evidence from human brain imaging studies (342 contrasts, 7234 participants, 3328 foci), we quantitatively synthesized brain areas involved in broad domains of social interactions, including social interactions versus non-social contexts, positive/negative aspects of social interactions, social learning, and social norms. We then conducted brain network analysis on the ensuing brain regions and characterized the psychological function profiles of identified brain networks. Our findings revealed that brain regions consistently involved in diverse social interactions mapped onto default mode network, salience network, subcortical network and central executive network, which were respectively implicated in social cognition, motivation and cognitive control. These findings implicate a heuristic integrative framework to understand human social life from the perspective of component process and network integration.-
dc.languageeng-
dc.relation.ispartofNeuroscience and Biobehavioral Reviews-
dc.subjectLarge-scale brain networks-
dc.subjectMeta-analysis-
dc.subjectNeuroimaging-
dc.subjectSocial interaction-
dc.titleCommon brain networks underlying human social interactions: Evidence from large-scale neuroimaging meta-analysis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.neubiorev.2021.03.025-
dc.identifier.pmid33781834-
dc.identifier.scopuseid_2-s2.0-85103686867-
dc.identifier.volume126-
dc.identifier.spage289-
dc.identifier.epage303-
dc.identifier.eissn1873-7528-
dc.identifier.isiWOS:000656249400007-

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