Brain-to-brain neural synchrony during social interactions: A systematic review on hyperscanning studies

Chang S. Nam, Sanghyun Choo, Jiali Huang, Jiyoung Park

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

The aim of this study was to conduct a comprehensive review on hyperscanning research (measuring brain activity simultaneously from more than two people interacting) using an explicit systematic method, the preferred reporting items for systematic reviews and meta-analyses (PRISMA). Data were searched from IEEE Xplore, PubMed, Engineering Village, Web of Science and Scopus databases. Inclusion criteria were journal articles written in English from2000 to 19 June 2019. Atotal of 126 empirical studies were screened out to address three specific questions regarding the neuroimaging method, the application domain, and the experiment paradigm. Results showed that the most used neuroimaging method with hyperscanning was magnetoencephalography/electroencephalography (MEG/EEG; 47%), and the least used neuroimaging method was hyper-transcranial Alternating Current Stimulation (tACS) (1%). Applications in cognition accounted for almost half the studies (48%), while educational applications accounted for less than 5% of the studies. Applications in decision-making tasks were the second most common (26%), shortly followed by applications in motor synchronization (23%). The findings from this systematic review that were based on documented, transparent and reproducible searches should help build cumulative knowledge and guide future research regarding inter-brain neural synchrony during social interactions, that is, hyperscanning research.

Original languageEnglish
Article number6669
JournalApplied Sciences (Switzerland)
Volume10
Issue number19
DOIs
StatePublished - Oct 1 2020
Externally publishedYes

Funding

This research was partly supported by the National Science Foundation (NSF) under Grant NSF BCS-1551688. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.

FundersFunder number
National Science FoundationNSF BCS-1551688

    Keywords

    • Electroencephalography (EEG)
    • Functional magnetic resonance imaging (fMRI)
    • Functional near-infrared spectroscopy (fNIRS)
    • Hyperscanning
    • Magnetoencephalography (MEG)

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