Getting into sync: Data-driven analyses reveal patterns of neural coupling that distinguish among different social exchanges
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F20%3A00114069" target="_blank" >RIV/00216224:14740/20:00114069 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24861" target="_blank" >https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24861</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/hbm.24861" target="_blank" >10.1002/hbm.24861</a>
Alternative languages
Result language
angličtina
Original language name
Getting into sync: Data-driven analyses reveal patterns of neural coupling that distinguish among different social exchanges
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Human Brain mapping
ISSN
1065-9471
e-ISSN
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Volume of the periodical
41
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
1072-1083
UT code for WoS article
000496527600001
EID of the result in the Scopus database
2-s2.0-85075162828