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Getting into sync: Data-driven analyses reveal patterns of neural coupling that distinguish among different social exchanges
B. Špiláková, DJ. Shaw, K. Czekóová, R. Mareček, M. Brázdil
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
Directory of Open Access Journals
from 2020
PubMed Central
from 1998
Medline Complete (EBSCOhost)
from 2012-07-01
Wiley Free Content
from 1996
Wiley-Blackwell Open Access Titles
from 2020
PubMed
31729105
DOI
10.1002/hbm.24861
Knihovny.cz E-resources
- MeSH
- Adult MeSH
- Competitive Behavior * MeSH
- Cooperative Behavior * MeSH
- Humans MeSH
- Magnetic Resonance Imaging MeSH
- Brain Mapping methods MeSH
- Young Adult MeSH
- Cerebellum diagnostic imaging physiology MeSH
- Cerebral Cortex diagnostic imaging physiology MeSH
- Social Interaction * MeSH
- Social Cognition * MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
In social interactions, each individual's brain drives an action that, in turn, elicits systematic neural responses in their partner that drive a reaction. Consequently, the brain responses of both interactants become temporally contingent upon one another through the actions they generate, and different interaction dynamics will be underpinned by distinct forms of between-brain coupling. In this study, we investigated this by "performing functional magnetic resonance imaging on two individuals simultaneously (dual-fMRI) while they competed or cooperated with one another in a turn-based or concurrent fashion." To assess whether distinct patterns of neural coupling were associated with these different interactions, we combined two data-driven, model-free analytical techniques: group-independent component analysis and inter-subject correlation. This revealed four distinct patterns of brain responses that were temporally aligned between interactants: one emerged during co-operative exchanges and encompassed brain regions involved in social cognitive processing, such as the temporo-parietal cortex. The other three were associated with competitive exchanges and comprised brain systems implicated in visuo-motor processing and social decision-making, including the cerebellum and anterior cingulate cortex. Interestingly, neural coupling was significantly stronger in concurrent relative to turn-based exchanges. These results demonstrate the utility of data-driven approaches applied to "dual-fMRI" data in elucidating the interpersonal neural processes that give rise to the two-in-one dynamic characterizing social interaction.
Department of Neurology Faculty of Medicine Masaryk University Brno Czech Republic
Department of Psychology School of Life and Health Sciences Aston University Birmingham UK
References provided by Crossref.org
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