Journal Article2022

Recent trends in non-invasive neural recording based brain-to-brain synchrony analysis on multidisciplinary human interactions for understanding brain dynamics: a systematic review

Tahnia Nazneen, Iffath Binta Islam, Md Sakibur Rahman Sajal, Wasifa Jamal, M Ashraful Amin, Ravi Vaidyanathan, Tom Chau, Khondaker A Mamun

Frontiers in Computational Neuroscience

Frontiers, Vol. 16, pp. 875282, ISBN: 1662-5188

DOI: 10.3389/fncom.2022.875282URL

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.

CCDS Authors

M Ashraful Amin, PhD

M Ashraful Amin, PhD

Founder DirectorDirector, Artificial Intelligence & Machine Learning WingDirector, Human-Computer Interaction WingDirector, Data Science Wing

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