Interbrain phase synchronization during turn‐taking verbal interaction—a hyperscanning study using simultaneous EEG/MEG

Recently, neurophysiological findings about social interaction have been investigated widely, and hardware has been developed that can measure multiple subjects' brain activities simultaneously. These hyperscanning studies have enabled us to discover new and important evidences of interbrain in...

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Published inHuman brain mapping Vol. 39; no. 1; pp. 171 - 188
Main Authors Ahn, Sangtae, Cho, Hohyun, Kwon, Moonyoung, Kim, Kiwoong, Kwon, Hyukchan, Kim, Bong Soo, Chang, Won Seok, Chang, Jin Woo, Jun, Sung Chan
Format Journal Article
LanguageEnglish
Published United States John Wiley & Sons, Inc 01.01.2018
John Wiley and Sons Inc
Subjects
Brain
Earphones
EEG
hyperscanning
Microphones
Oscillations
Phase lag
phase synchronization
simultaneous EEG/MEG
Social factors
social interaction
Social interactions
Statistical analysis
Synchronization
Time synchronization
turn‐taking verbal interaction
Verbal communication
social interaction
simultaneous EEG/MEG
turn-taking verbal interaction
hyperscanning
phase synchronization
Online AccessGet full text
ISSN1065-9471
1097-0193
1097-0193
DOI10.1002/hbm.23834

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Abstract Recently, neurophysiological findings about social interaction have been investigated widely, and hardware has been developed that can measure multiple subjects' brain activities simultaneously. These hyperscanning studies have enabled us to discover new and important evidences of interbrain interactions. Yet, very little is known about verbal interaction without any visual input. Therefore, we conducted a new hyperscanning study based on verbal, interbrain turn‐taking interaction using simultaneous EEG/MEG, which measures rapidly changing brain activities. To establish turn‐taking verbal interactions between a pair of subjects, we set up two EEG/MEG systems (19 and 146 channels of EEG and MEG, respectively) located ∼100 miles apart. Subjects engaged in verbal communication via condenser microphones and magnetic‐compatible earphones, and a network time protocol synchronized the two systems. Ten subjects participated in this experiment and performed verbal interaction and noninteraction tasks separately. We found significant oscillations in EEG alpha and MEG alpha/gamma bands in several brain regions for all subjects. Furthermore, we estimated phase synchronization between two brains using the weighted phase lag index and found statistically significant synchronization in EEG and MEG data. Our novel paradigm and neurophysiological findings may foster a basic understanding of the functional mechanisms involved in human social interactions. Hum Brain Mapp 39:171–188, 2018. © 2017 Wiley Periodicals, Inc.
AbstractList Recently, neurophysiological findings about social interaction have been investigated widely, and hardware has been developed that can measure multiple subjects' brain activities simultaneously. These hyperscanning studies have enabled us to discover new and important evidences of interbrain interactions. Yet, very little is known about verbal interaction without any visual input. Therefore, we conducted a new hyperscanning study based on verbal, interbrain turn-taking interaction using simultaneous EEG/MEG, which measures rapidly changing brain activities. To establish turn-taking verbal interactions between a pair of subjects, we set up two EEG/MEG systems (19 and 146 channels of EEG and MEG, respectively) located ∼100 miles apart. Subjects engaged in verbal communication via condenser microphones and magnetic-compatible earphones, and a network time protocol synchronized the two systems. Ten subjects participated in this experiment and performed verbal interaction and noninteraction tasks separately. We found significant oscillations in EEG alpha and MEG alpha/gamma bands in several brain regions for all subjects. Furthermore, we estimated phase synchronization between two brains using the weighted phase lag index and found statistically significant synchronization in EEG and MEG data. Our novel paradigm and neurophysiological findings may foster a basic understanding of the functional mechanisms involved in human social interactions. Hum Brain Mapp 39:171-188, 2018. © 2017 Wiley Periodicals, Inc.
Recently, neurophysiological findings about social interaction have been investigated widely, and hardware has been developed that can measure multiple subjects' brain activities simultaneously. These hyperscanning studies have enabled us to discover new and important evidences of interbrain interactions. Yet, very little is known about verbal interaction without any visual input. Therefore, we conducted a new hyperscanning study based on verbal, interbrain turn‐taking interaction using simultaneous EEG/MEG, which measures rapidly changing brain activities. To establish turn‐taking verbal interactions between a pair of subjects, we set up two EEG/MEG systems (19 and 146 channels of EEG and MEG, respectively) located ∼100 miles apart. Subjects engaged in verbal communication via condenser microphones and magnetic‐compatible earphones, and a network time protocol synchronized the two systems. Ten subjects participated in this experiment and performed verbal interaction and noninteraction tasks separately. We found significant oscillations in EEG alpha and MEG alpha/gamma bands in several brain regions for all subjects. Furthermore, we estimated phase synchronization between two brains using the weighted phase lag index and found statistically significant synchronization in EEG and MEG data. Our novel paradigm and neurophysiological findings may foster a basic understanding of the functional mechanisms involved in human social interactions. Hum Brain Mapp 39:171–188, 2018 . © 2017 Wiley Periodicals, Inc.
Recently, neurophysiological findings about social interaction have been investigated widely, and hardware has been developed that can measure multiple subjects' brain activities simultaneously. These hyperscanning studies have enabled us to discover new and important evidences of interbrain interactions. Yet, very little is known about verbal interaction without any visual input. Therefore, we conducted a new hyperscanning study based on verbal, interbrain turn-taking interaction using simultaneous EEG/MEG, which measures rapidly changing brain activities. To establish turn-taking verbal interactions between a pair of subjects, we set up two EEG/MEG systems (19 and 146 channels of EEG and MEG, respectively) located ∼100 miles apart. Subjects engaged in verbal communication via condenser microphones and magnetic-compatible earphones, and a network time protocol synchronized the two systems. Ten subjects participated in this experiment and performed verbal interaction and noninteraction tasks separately. We found significant oscillations in EEG alpha and MEG alpha/gamma bands in several brain regions for all subjects. Furthermore, we estimated phase synchronization between two brains using the weighted phase lag index and found statistically significant synchronization in EEG and MEG data. Our novel paradigm and neurophysiological findings may foster a basic understanding of the functional mechanisms involved in human social interactions. Hum Brain Mapp 39:171-188, 2018. © 2017 Wiley Periodicals, Inc.Recently, neurophysiological findings about social interaction have been investigated widely, and hardware has been developed that can measure multiple subjects' brain activities simultaneously. These hyperscanning studies have enabled us to discover new and important evidences of interbrain interactions. Yet, very little is known about verbal interaction without any visual input. Therefore, we conducted a new hyperscanning study based on verbal, interbrain turn-taking interaction using simultaneous EEG/MEG, which measures rapidly changing brain activities. To establish turn-taking verbal interactions between a pair of subjects, we set up two EEG/MEG systems (19 and 146 channels of EEG and MEG, respectively) located ∼100 miles apart. Subjects engaged in verbal communication via condenser microphones and magnetic-compatible earphones, and a network time protocol synchronized the two systems. Ten subjects participated in this experiment and performed verbal interaction and noninteraction tasks separately. We found significant oscillations in EEG alpha and MEG alpha/gamma bands in several brain regions for all subjects. Furthermore, we estimated phase synchronization between two brains using the weighted phase lag index and found statistically significant synchronization in EEG and MEG data. Our novel paradigm and neurophysiological findings may foster a basic understanding of the functional mechanisms involved in human social interactions. Hum Brain Mapp 39:171-188, 2018. © 2017 Wiley Periodicals, Inc.
Author Ahn, Sangtae
Kwon, Hyukchan
Kim, Bong Soo
Chang, Jin Woo
Kwon, Moonyoung
Kim, Kiwoong
Chang, Won Seok
Cho, Hohyun
Jun, Sung Chan
AuthorAffiliation 2 New York State Department of Health Wadsworth Center Albany New York
8 Department of Neurosurgery Brain Research Institute, Yonsei University College of Medicine Seoul South Korea
5 Department of Medical Physics University of Science and Technology Daejeon South Korea
4 Center for Biosignals, Korea Research Institute of Standards and Science Daejeon South Korea
1 Department of Psychiatry University of North Carolina at Chapel Hill Chapel Hill North Carolina
6 EIT/LOFUS R&D Center, Institute for Integrative Medicine, College of Medicine, Catholic Kwandong University Gangneung‐si Gangwon-do South Korea
7 Catholic Kwandong University International St. Mary's Hospital Incheon South Korea
3 School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology Gwangju South Korea
AuthorAffiliation_xml – name: 1 Department of Psychiatry University of North Carolina at Chapel Hill Chapel Hill North Carolina
– name: 7 Catholic Kwandong University International St. Mary's Hospital Incheon South Korea
– name: 8 Department of Neurosurgery Brain Research Institute, Yonsei University College of Medicine Seoul South Korea
– name: 3 School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology Gwangju South Korea
– name: 2 New York State Department of Health Wadsworth Center Albany New York
– name: 6 EIT/LOFUS R&D Center, Institute for Integrative Medicine, College of Medicine, Catholic Kwandong University Gangneung‐si Gangwon-do South Korea
– name: 4 Center for Biosignals, Korea Research Institute of Standards and Science Daejeon South Korea
– name: 5 Department of Medical Physics University of Science and Technology Daejeon South Korea
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  givenname: Sangtae
  orcidid: 0000-0001-9487-5649
  surname: Ahn
  fullname: Ahn, Sangtae
  organization: University of North Carolina at Chapel Hill
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  surname: Cho
  fullname: Cho, Hohyun
  organization: Wadsworth Center
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  surname: Kwon
  fullname: Kwon, Moonyoung
  organization: Gwangju Institute of Science and Technology
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  givenname: Kiwoong
  surname: Kim
  fullname: Kim, Kiwoong
  organization: University of Science and Technology
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  surname: Kwon
  fullname: Kwon, Hyukchan
  organization: Center for Biosignals, Korea Research Institute of Standards and Science
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  surname: Kim
  fullname: Kim, Bong Soo
  organization: Catholic Kwandong University International St. Mary's Hospital
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  organization: Brain Research Institute, Yonsei University College of Medicine
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  surname: Chang
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  organization: Brain Research Institute, Yonsei University College of Medicine
– sequence: 9
  givenname: Sung Chan
  orcidid: 0000-0001-5357-4436
  surname: Jun
  fullname: Jun, Sung Chan
  email: scjun@gist.ac.kr
  organization: Gwangju Institute of Science and Technology
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29024193$$D View this record in MEDLINE/PubMed
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Issue 1
Keywords social interaction
simultaneous EEG/MEG
turn-taking verbal interaction
hyperscanning
phase synchronization
Language English
License http://onlinelibrary.wiley.com/termsAndConditions#vor
2017 Wiley Periodicals, Inc.
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SubjectTerms Brain
Earphones
EEG
hyperscanning
Microphones
Oscillations
Phase lag
phase synchronization
simultaneous EEG/MEG
Social factors
social interaction
Social interactions
Statistical analysis
Synchronization
Time synchronization
turn‐taking verbal interaction
Verbal communication
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Title Interbrain phase synchronization during turn‐taking verbal interaction—a hyperscanning study using simultaneous EEG/MEG
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