Recent trends in non-invasive neural recording based brain-to-brain synchrony analysis on multidisciplinary human interactions for understanding brain dynamics: a systematic review
Author(s)
Type
Journal Article
Abstract
The study of brain-to-brain synchrony has a burgeoning application in the brain-computer interface (BCI) research, offering valuable insights into the neural underpinnings of interacting human brains using numerous neural recording technologies. The area allows exploring the commonality of brain dynamics by evaluating the neural synchronization among a group of people performing a specified task. The growing number of publications on brain-to-brain synchrony inspired the authors to conduct a systematic review using the PRISMA protocol so that future researchers can get a comprehensive understanding of the paradigms, methodologies, translational algorithms, and challenges in the area of brain-to-brain synchrony research. This review has gone through a systematic search with a specified search string and selected some articles based on pre-specified eligibility criteria. The findings from the review revealed that most of the articles have followed the social psychology paradigm, while 36% of the selected studies have an application in cognitive neuroscience. The most applied approach to determine neural connectivity is a coherence measure utilizing phase-locking value (PLV) in the EEG studies, followed by wavelet transform coherence (WTC) in all of the fNIRS studies. While most of the experiments have control experiments as a part of their setup, a small number implemented algorithmic control, and only one study had interventional or a stimulus-induced control experiment to limit spurious synchronization. Hence, to the best of the authors' knowledge, this systematic review solely contributes to critically evaluating the scopes and technological advances of brain-to-brain synchrony to allow this discipline to produce more effective research outcomes in the remote future.
Date Issued
2022-06-16
Date Acceptance
2022-04-20
Citation
Frontiers in Computational Neuroscience, 2022, 16, pp.1-19
ISSN
1662-5188
Publisher
Frontiers Media S.A.
Start Page
1
End Page
19
Journal / Book Title
Frontiers in Computational Neuroscience
Volume
16
Copyright Statement
Copyright © 2022 Nazneen, Islam, Sajal, Jamal, Amin, Vaidyanathan, Chau and Mamun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000819446200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
behavioral cognition
brain dynamics
brain-to-brain synchrony
COOPERATION
interbrain synchrony
Life Sciences & Biomedicine
Mathematical & Computational Biology
neuroscience
Neurosciences
Neurosciences & Neurology
PHASE SYNCHRONIZATION
psychology
Science & Technology
SOCIAL BRAIN
synchrony measure
Publication Status
Published
Article Number
ARTN 875282
Date Publish Online
2022-06-16