J 2021

You took the words right out of my mouth: Dual-fMRI reveals intra- and inter-personal neural processes supporting verbal interaction

SALAZAR ADAMS, Miguel, Daniel Joel SHAW, Martin GAJDOŠ, Radek MAREČEK, Kristína CZEKÓOVÁ et. al.

Basic information

Original name

You took the words right out of my mouth: Dual-fMRI reveals intra- and inter-personal neural processes supporting verbal interaction

Authors

SALAZAR ADAMS, Miguel (484 Mexico, belonging to the institution), Daniel Joel SHAW (826 United Kingdom of Great Britain and Northern Ireland, guarantor, belonging to the institution), Martin GAJDOŠ (203 Czech Republic, belonging to the institution), Radek MAREČEK (203 Czech Republic, belonging to the institution), Kristína CZEKÓOVÁ (703 Slovakia, belonging to the institution), Michal MIKL (203 Czech Republic, belonging to the institution) and Milan BRÁZDIL (203 Czech Republic, belonging to the institution)

Edition

Neuroimage, San Diego, ACADEMIC PRESS INC ELSEVIER SCIENCE, 2021, 1053-8119

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:

Impact factor

Impact factor: 7.400

RIV identification code

RIV/00216224:14740/21:00118918

Organization unit

Central European Institute of Technology

UT WoS

000617722700020

Keywords in English

Verbal communication; Dual-fMRI; Dynamic causal modeling; Inter-subject correlation

Tags

International impact, Reviewed
Změněno: 9/10/2024 12:58, Ing. Jana Kuchtová

Abstract

V originále

Verbal communication relies heavily upon mutual understanding, or common ground. Inferring the intentional states of our interaction partners is crucial in achieving this, and social neuroscience has begun elucidating the intra- and inter-personal neural processes supporting such inferences. Typically, however, neuroscientific paradigms lack the reciprocal to-and-fro characteristic of social communication, offering little insight into the way these processes operate online during real-world interaction. In the present study, we overcame this by developing a "hyperscanning" paradigm in which pairs of interactants could communicate verbally with one another in a joint-action task whilst both undergoing functional magnetic resonance imaging simultaneously. Successful performance on this task required both interlocutors to predict their partner's upcoming utterance in order to converge on the same word as each other over recursive exchanges, based only on one another's prior verbal expressions. By applying various levels of analysis to behavioural and neuroimaging data acquired from 20 dyads, three principal findings emerged: First, interlocutors converged frequently within the same semantic space, suggesting that mutual understanding had been established. Second, assessing the brain responses of each interlocutor as they planned their upcoming utterances on the basis of their co-player's previous word revealed the engagement of the temporo-parietal junctional (TPJ), precuneus and dorso-lateral pre-frontal cortex. Moreover, responses in the precuneus were modulated positively by the degree of semantic convergence achieved on each round. Second, effective connectivity among these regions indicates the crucial role of the right TPJ in this process, consistent with the Nexus model. Third, neural signals within certain nodes of this network became aligned between interacting interlocutors. We suggest this reflects an interpersonal neural process through which interactants infer and align to one another's intentional states whilst they establish a common ground.

Links

GA16-18261S, research and development project
Name: Inovace rehabilitačních programů pro řidiče: Neurobehaviorální evaluace tréninku empatie
Investor: Czech Science Foundation
LQ1601, research and development project
Name: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
90129, large research infrastructures
Name: Czech-BioImaging II