Other formats:
BibTeX
LaTeX
RIS
@article{1631637,
author = {Špiláková, Beáta and Shaw, Daniel Joel and Czekóová, Kristína and Mareček, Radek and Brázdil, Milan},
article_location = {Hoboken},
article_number = {4},
doi = {http://dx.doi.org/10.1002/hbm.24861},
keywords = {competition; co-operation; hyperscanning; interaction structure; inter-subject correlation; neural coupling; social interaction},
language = {eng},
issn = {1065-9471},
journal = {Human Brain mapping},
title = {Getting into sync: Data-driven analyses reveal patterns of neural coupling that distinguish among different social exchanges},
url = {https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24861},
volume = {41},
year = {2020}
}
TY - JOUR
ID - 1631637
AU - Špiláková, Beáta - Shaw, Daniel Joel - Czekóová, Kristína - Mareček, Radek - Brázdil, Milan
PY - 2020
TI - Getting into sync: Data-driven analyses reveal patterns of neural coupling that distinguish among different social exchanges
JF - Human Brain mapping
VL - 41
IS - 4
SP - 1072-1083
EP - 1072-1083
PB - WILEY-BLACKWELL
SN - 10659471
KW - competition
KW - co-operation
KW - hyperscanning
KW - interaction structure
KW - inter-subject correlation
KW - neural coupling
KW - social interaction
UR - https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24861
N2 - 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.
ER -
ŠPILÁKOVÁ, Beáta, Daniel Joel SHAW, Kristína CZEKÓOVÁ, Radek MAREČEK and Milan BRÁZDIL. Getting into sync: Data-driven analyses reveal patterns of neural coupling that distinguish among different social exchanges. \textit{Human Brain mapping}. Hoboken: WILEY-BLACKWELL, 2020, vol.~41, No~4, p.~1072-1083. ISSN~1065-9471. Available from: https://dx.doi.org/10.1002/hbm.24861.
|
