Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Common brain networks underlying human social interactions: Evidence from large-scale neuroimaging meta-analysis
Ist Teil von
Neuroscience and biobehavioral reviews, 2021-07, Vol.126, p.289-303
Ort / Verlag
United States: Elsevier Ltd
Erscheinungsjahr
2021
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
•Large-scale meta-analyses on neuroimaging studies of social interactions were conducted.•Common brain regions involved in broad domains of social interactions were identified.•Identified brain regions were mapped onto four large-scale brain networks.•The networks mediate social cognition, motivation and cognitive control.•A heuristic framework for neural underpinnings of social interactions was proposed.
Recent 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.