Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

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

. 2020 ; 41 (4) : 1072-1083. [pub] 20191115

Language English Country United States

Document type Journal Article, Research Support, Non-U.S. Gov't

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.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc21026748
003      
CZ-PrNML
005      
20211026132640.0
007      
ta
008      
211013s2020 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1002/hbm.24861 $2 doi
035    __
$a (PubMed)31729105
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Špiláková, Beáta $u Behavioural and Social Neuroscience Research Group, CEITEC-Central European Institute of Technology, Masaryk University, Brno, Czech Republic $u Department of Neurology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
245    10
$a Getting into sync: Data-driven analyses reveal patterns of neural coupling that distinguish among different social exchanges / $c B. Špiláková, DJ. Shaw, K. Czekóová, R. Mareček, M. Brázdil
520    9_
$a 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.
650    _2
$a dospělí $7 D000328
650    _2
$a mapování mozku $x metody $7 D001931
650    _2
$a mozeček $x diagnostické zobrazování $x fyziologie $7 D002531
650    _2
$a mozková kůra $x diagnostické zobrazování $x fyziologie $7 D002540
650    12
$a kompetitivní chování $7 D003163
650    12
$a kooperační chování $7 D003299
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a lidé $7 D006801
650    _2
$a magnetická rezonanční tomografie $7 D008279
650    _2
$a mužské pohlaví $7 D008297
650    12
$a sociální kognice $7 D000083282
650    12
$a sociální interakce $7 D000083505
650    _2
$a mladý dospělý $7 D055815
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Shaw, Daniel J $u Behavioural and Social Neuroscience Research Group, CEITEC-Central European Institute of Technology, Masaryk University, Brno, Czech Republic $u Department of Psychology, School of Life and Health Sciences, Aston University, Birmingham, UK
700    1_
$a Czekóová, Kristína $u Behavioural and Social Neuroscience Research Group, CEITEC-Central European Institute of Technology, Masaryk University, Brno, Czech Republic
700    1_
$a Mareček, Radek $u Muiltomodal and Functional Neuroimaging Laboratory, CEITEC-Central European Institute of Technology, Masaryk University, Brno, Czech Republic $u Department of Neurology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
700    1_
$a Brázdil, Milan $u Behavioural and Social Neuroscience Research Group, CEITEC-Central European Institute of Technology, Masaryk University, Brno, Czech Republic $u Department of Neurology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
773    0_
$w MED00002066 $t Human brain mapping $x 1097-0193 $g Roč. 41, č. 4 (2020), s. 1072-1083
856    41
$u https://pubmed.ncbi.nlm.nih.gov/31729105 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20211013 $b ABA008
991    __
$a 20211026132647 $b ABA008
999    __
$a ok $b bmc $g 1715481 $s 1147255
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2020 $b 41 $c 4 $d 1072-1083 $e 20191115 $i 1097-0193 $m Human brain mapping $n Hum Brain Mapp $x MED00002066
LZP    __
$a Pubmed-20211013

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...