Does machine-mediated interaction induce inter-brain synchrony? &amp;#x2014; A hyperscanning study

Hachmeister, Nils; Finke, Andrea; Ritter, Helge

doi:10.1109/embc.2014.6943766

Cited by 2 publications

(1 citation statement)

References 17 publications

(22 reference statements)

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“…These studies are done under similar yet divergent experimental setups each catering to its objectives. The following studies explore machine mediated neural and behavioral synchronization in real and virtual environments (Hachmeister et al, 2014 ; Gumilar et al, 2021 ). Similarly, the effect of cooperation on neural synchrony (Abe et al, 2019 ), meditation and monastic debates (Fenwick et al, 2019 ; van Vugt et al, 2020 ), emotional association in groups (Nummenmaa et al, 2014 ; Goldstein et al, 2018 ; Santamaria et al, 2019 ) are included in this paradigm.…”

Section: Resultsmentioning

confidence: 99%

Recent Trends in Non-invasive Neural Recording Based Brain-to-Brain Synchrony Analysis on Multidisciplinary Human Interactions for Understanding Brain Dynamics: A Systematic Review

Nazneen

Islam

Sajal

et al. 2022

Front. Comput. Neurosci.

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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.

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