Getting into sync: Data-driven analyses reveal patterns of
neural coupling that distinguish among different social
exchanges

J 2020

Getting into sync: Data-driven analyses reveal patterns of neural coupling that distinguish among different social exchanges

ŠPILÁKOVÁ, Beáta, Daniel Joel SHAW, Kristína CZEKÓOVÁ, Radek MAREČEK, Milan BRÁZDIL et. al.

Basic information

Original name

Getting into sync: Data-driven analyses reveal patterns of neural coupling that distinguish among different social exchanges

Authors

ŠPILÁKOVÁ, Beáta (703 Slovakia, belonging to the institution), Daniel Joel SHAW (826 United Kingdom of Great Britain and Northern Ireland, belonging to the institution), Kristína CZEKÓOVÁ (703 Slovakia, belonging to the institution), Radek MAREČEK (203 Czech Republic, belonging to the institution) and Milan BRÁZDIL (203 Czech Republic, guarantor, belonging to the institution)

Edition

Human Brain mapping, Hoboken, WILEY-BLACKWELL, 2020, 1065-9471

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30103 Neurosciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 5.038

RIV identification code

RIV/00216224:14740/20:00114069

Organization unit

Central European Institute of Technology

DOI

http://dx.doi.org/10.1002/hbm.24861

UT WoS

000496527600001

Keywords in English

competition; co-operation; hyperscanning; interaction structure; inter-subject correlation; neural coupling; social interaction

Abstract

V originále

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.

Links

EF16_013/0001775, research and development project

Name: Modernizace a podpora výzkumných aktivit národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging

GA18-21791S, research and development project

Name: Tam a zpět: Zkoumání rovnováhy mezi vlastními cíli a cíli druhých během vyjednávání s použitím metody hyperscanning (Acronym: BAF)

Investor: Czech Science Foundation

LQ1601, research and development project

Name: CEITEC 2020 (Acronym: CEITEC2020)

Investor: Ministry of Education, Youth and Sports of the CR

90062, large research infrastructures

Name: Czech-BioImaging

Citovat

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. 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.

@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.

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