Literature DB >> 27039144

Interpersonal frontopolar neural synchronization in group communication: An exploration toward fNIRS hyperscanning of natural interactions.

Takayuki Nozawa1, Yukako Sasaki2, Kohei Sakaki2, Ryoichi Yokoyama3, Ryuta Kawashima4.   

Abstract

Research of interpersonal neural synchronization (INS) using functional near-infrared spectroscopy (fNIRS) hyperscanning is an expanding nascent field. This field still requires the accumulation of findings and establishment of analytic standards. In this study, we therefore intend to extend fNIRS-based INS research in three directions: (1) verifying the enhancement of frontopolar INS by natural and unstructured verbal communication involving more than two individuals; (2) examining timescale dependence of the INS modulation; and (3) evaluating the effects of artifact reduction methods in capturing INS. We conducted an fNIRS hyperscanning study while 12 groups of four subjects were engaged in cooperative verbal communication. Corresponding to the three objectives, our analyses of the data (1) confirmed communication-enhanced frontopolar INS, as expected from the region's roles in social communication; (2) revealed the timescale dependency in the INS modulation, suggesting the merit of evaluating INS in fine timescale bins; and (3) determined that removal of the skin blood flow component engenders substantial improvement in sensitivity to communication-enhanced INS and segregation from artifactual synchronization, and that caution for artifact reduction preprocessing is needed to avoid excessive removal of the neural fluctuation component. Accordingly, this study provides a prospective technical basis for future hyperscanning studies during daily communicative activities.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Artifact reduction; Hyperscanning; Interpersonal neural synchronization; Skin blood flow; Social cognition; fNIRS

Mesh:

Year:  2016        PMID: 27039144     DOI: 10.1016/j.neuroimage.2016.03.059

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  39 in total

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2.  Wavelet-based method for removing global physiological noise in functional near-infrared spectroscopy.

Authors:  Lian Duan; Ziping Zhao; Yongling Lin; Xiaoyan Wu; Yuejia Luo; Pengfei Xu
Journal:  Biomed Opt Express       Date:  2018-07-24       Impact factor: 3.732

3.  Affiliative bonding between teachers and students through interpersonal synchronisation in brain activity.

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Journal:  Soc Cogn Affect Neurosci       Date:  2020-01-30       Impact factor: 3.436

4.  Interbrain phase synchronization during turn-taking verbal interaction-a hyperscanning study using simultaneous EEG/MEG.

Authors:  Sangtae Ahn; Hohyun Cho; Moonyoung Kwon; Kiwoong Kim; Hyukchan Kwon; Bong Soo Kim; Won Seok Chang; Jin Woo Chang; Sung Chan Jun
Journal:  Hum Brain Mapp       Date:  2017-10-11       Impact factor: 5.038

5.  Enhancement of teaching outcome through neural prediction of the students' knowledge state.

Authors:  Lifen Zheng; Chuansheng Chen; Wenda Liu; Yuhang Long; Hui Zhao; Xialu Bai; Zhanjun Zhang; Zaizhu Han; Li Liu; Taomei Guo; Baoguo Chen; Guosheng Ding; Chunming Lu
Journal:  Hum Brain Mapp       Date:  2018-03-25       Impact factor: 5.038

6.  Are We Ready for Real-world Neuroscience?

Authors:  Pawel J Matusz; Suzanne Dikker; Alexander G Huth; Catherine Perrodin
Journal:  J Cogn Neurosci       Date:  2018-06-19       Impact factor: 3.225

7.  Measuring shared responses across subjects using intersubject correlation.

Authors:  Samuel A Nastase; Valeria Gazzola; Uri Hasson; Christian Keysers
Journal:  Soc Cogn Affect Neurosci       Date:  2019-08-07       Impact factor: 3.436

8.  Dissecting social interaction: dual-fMRI reveals patterns of interpersonal brain-behavior relationships that dissociate among dimensions of social exchange.

Authors:  Beáta Špiláková; Daniel J Shaw; Kristína Czekóová; Milan Brázdil
Journal:  Soc Cogn Affect Neurosci       Date:  2019-02-13       Impact factor: 3.436

9.  Inter-brain synchrony in mother-child dyads during cooperation: An fNIRS hyperscanning study.

Authors:  Jonas G Miller; Pascal Vrtička; Xu Cui; Sharon Shrestha; S M Hadi Hosseini; Joseph M Baker; Allan L Reiss
Journal:  Neuropsychologia       Date:  2018-12-27       Impact factor: 3.139

10.  Inter-brain synchrony in teams predicts collective performance.

Authors:  Diego A Reinero; Suzanne Dikker; Jay J Van Bavel
Journal:  Soc Cogn Affect Neurosci       Date:  2021-01-18       Impact factor: 3.436

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