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.

Základní údaje

Originální název

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

Autoři

ŠPILÁKOVÁ, Beáta (703 Slovensko, domácí), Daniel Joel SHAW (826 Velká Británie a Severní Irsko, domácí), Kristína CZEKÓOVÁ (703 Slovensko, domácí), Radek MAREČEK (203 Česká republika, domácí) a Milan BRÁZDIL (203 Česká republika, garant, domácí)

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30103 Neurosciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 5.038

Kód RIV

RIV/00216224:14740/20:00114069

Organizační jednotka

Středoevropský technologický institut

DOI

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

UT WoS

000496527600001

Klíčová slova anglicky

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

Štítky

14110127, CF MAFIL, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 9. 10. 2024 12:50, Ing. Jana Kuchtová

Anotace

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.

Návaznosti

EF16_013/0001775, projekt VaV

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

GA18-21791S, projekt VaV

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

Investor: Grantová agentura ČR, Back and Forth: Striking the balance between self and other goals in negotiation.

LQ1601, projekt VaV

Název: CEITEC 2020 (Akronym: CEITEC2020)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, CEITEC 2020

90062, velká výzkumná infrastruktura

Název: Czech-BioImaging

Citovat

ŠPILÁKOVÁ, Beáta, Daniel Joel SHAW, Kristína CZEKÓOVÁ, Radek MAREČEK a 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, roč. 41, č. 4, s. 1072-1083. ISSN 1065-9471. Dostupné z: 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 a 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, roč.~41, č.~4, s.~1072-1083. ISSN~1065-9471. Dostupné z: https://dx.doi.org/10.1002/hbm.24861.

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