Evidence map›Paper›PMID 32860692›Full record

ArticleSocial cognitive and affective neuroscience2021

Multivariate model for cooperation: bridging social physiological compliance and hyperscanning.

Nicolina Sciaraffa, Jieqiong Liu, Pietro Aricò, Gianluca Di Flumeri, Bianca M S Inguscio, Gianluca Borghini, Fabio Babiloni

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Article in Social cognitive and affective neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nicolina SciaraffaDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Jieqiong LiuSchool of Psychology and Cognitive Science, Shanghai Changning-ECNU Mental Health Center, East China Normal University, Shanghai, China.
Pietro AricòDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Gianluca Di FlumeriDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Bianca M S InguscioBrainSigns srl, Rome, Italy.
Gianluca BorghiniDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Fabio BabiloniDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neurophysiological analysis of cooperation has evolved over the past 20 years, moving towards the research of common patterns in neurophysiological signals of people interacting. Social physiological compliance (SPC) and hyperscanning represent two frameworks for the joint analysis of autonomic and brain signals, respectively. Each of the two approaches allows to know about a single layer of cooperation according to the nature of these signals: SPC provides information mainly related to emotions, and hyperscanning that related to cognitive aspects. In this work, after the analysis of the state of the art of SPC and hyperscanning, we explored the possibility to unify the two approaches creating a complete neurophysiological model for cooperation considering both affective and cognitive mechanisms We synchronously recorded electrodermal activity, cardiac and brain signals of 14 cooperative dyads. Time series from these signals were extracted, and multivariate Granger causality was computed. The results showed that only when subjects in a dyad cooperate there is a statistically significant causality between the multivariate variables representing each subject. Moreover, the entity of this statistical relationship correlates with the dyad's performance. Finally, given the novelty of this approach and its exploratory nature, we provided its strengths and limitations.

Indexed as

Cooperative BehaviorAdultArousalAutonomic Nervous SystemBrainBrain MappingElectroencephalographyEmotionsFemaleHumansMaleYoung AdultcooperationEEG-hyperscanningmultivariate Granger causalitysocial physiological compliance

Identifiers

PMID32860692
PMCPMC7812636

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.