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      Inter-brain neural mechanism underlying turn-based interaction under acute stress in women: a hyperscanning study using functional near-infrared spectroscopy

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          Abstract

          With the ever-changing social environment, stress has exerted a substantial influence on social interaction. The present study examined the underlying cognitive and neural mechanism on how acute stress affected the real-time cooperative and competitive interaction with four hypothesized path models. We used the hyperscanning technique based on functional near-infrared spectroscopy (fNIRS) device to examine brain-to-brain coherence within the dyads engaging Pattern Game under acute stress manipulated through Trier Social Stress Test for Groups. Behavioral results showed stressed dyads exhibited better cooperative performance and higher self-other overlap level during the cooperative session than dyads in the control group. The fNIRS results identified higher interpersonal brain synchronization in the right temporal-parietal junction (r-TPJ) stronger Granger causality from partner-to-builder during the cooperative session in the stress group when compared with the control group. Our results corroborated better performance in the cooperative context and further identified that brain-to-brain coherence in r-TPJ and self-other overlap serially mediated the effect of acute stress on cooperative performance.

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Statistical Power Analysis for the Behavioral Sciences

            <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
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              Investigating Causal Relations by Econometric Models and Cross-spectral Methods

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                Author and article information

                Contributors
                Journal
                Soc Cogn Affect Neurosci
                Soc Cogn Affect Neurosci
                scan
                Social Cognitive and Affective Neuroscience
                Oxford University Press (UK )
                1749-5016
                1749-5024
                September 2022
                26 January 2022
                26 January 2022
                : 17
                : 9
                : 850-863
                Affiliations
                departmentKey Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University , Xi’an 710062, China
                departmentCenter for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University , Shanghai 200083, China
                departmentKey Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University , Xi’an 710062, China
                departmentCentre for Mental Health Education, Xidian University , Xi’an, Shaanxi 710071, China
                departmentSchool of Psychology, Shaanxi Normal University , Xi’an 710062, China
                departmentCenter for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University , Shanghai 200083, China
                departmentKey Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University , Xi’an 710062, China
                Author notes
                Correspondence should be addressed to Haijun Duan, Key Laboratory of Modern Teaching Technology, Ministry of Education, Yanta Campus, Shaanxi Normal University, 199 South Chang’ an Road, Xi’an 710062, China. E-mail: duanhj@ 123456126.com .
                Author information
                https://orcid.org/0000-0002-4228-2830
                https://orcid.org/0000-0001-8705-2716
                Article
                nsac005
                10.1093/scan/nsac005
                9433846
                35079834
                15f8226b-25b1-4d1d-abfa-2ae9bd6c9da2
                © The Author(s) 2022. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 19 November 2020
                : 10 December 2021
                : 25 January 2022
                : 23 January 2022
                : 08 February 2022
                Page count
                Pages: 14
                Funding
                Funded by: Innovation Capability Support Program of Shaanxi Province;
                Award ID: 2020TD-037
                Funded by: Research Project of Graduate Education and Teaching Reform of Shaanxi Normal University;
                Award ID: GERP-21-19
                Funded by: National Natural Science Foundation of China, DOI 10.13039/501100001809;
                Award ID: 32071078
                Funded by: National Natural Science Foundation of China, DOI 10.13039/501100001809;
                Award ID: 72171151
                Funded by: Natural Science Foundation of Shanghai, DOI 10.13039/100007219;
                Award ID: 21ZR1461600
                Funded by: Key project for Collaborative Innovation Center of Assessment Towards Basic Education Quality at Beijing Normal University;
                Award ID: 2018-05-009-BZPK01
                Funded by: Key project for Collaborative Innovation Center of Assessment Towards Basic Education Quality at Beijing Normal University;
                Award ID: 2020-05-009-BZPK01
                Funded by: Key project for Collaborative Innovation Center of Assessment Towards Basic Education Quality at Beijing Normal University;
                Award ID: 2021-05-009-BZPK01
                Funded by: Fundamental Research Funds for the Central Universities, DOI 10.13039/501100012226;
                Award ID: 2019TS140
                Funded by: Fundamental Research Funds for the Central Universities, DOI 10.13039/501100012226;
                Award ID: 2021CSWY022
                Funded by: Fundamental Research Funds for the Central Universities, DOI 10.13039/501100012226;
                Award ID: 2021CSWY023
                Funded by: Fundamental Research Funds for the Central Universities, DOI 10.13039/501100012226;
                Award ID: GK201902011
                Funded by: Learning Science Interdisciplinary Project of Shaanxi Normal University;
                Categories
                Original Manuscript
                AcademicSubjects/SCI01880

                Neurosciences
                fnirs,hyperscanning,acute stress,turn-based interaction,self-other overlap
                Neurosciences
                fnirs, hyperscanning, acute stress, turn-based interaction, self-other overlap

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