SynthesisFrontiers in computational neuroscience2022
Recent Trends in Non-invasive Neural Recording Based Brain-to-Brain Synchrony Analysis on Multidisciplinary Human Interactions for Understanding Brain Dynamics: A Systematic Review.
Synthesis in Frontiers in computational neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- iTBS on RDLPFC improves performance of motor imagery: a brain-computer interface study combining EEG and fNIRS.Journal of neuroengineering and rehabilitation · 2025Trial
- Recruitment patterns of hothubs and dark functional networks correlating activity and connectivity with magnetoencephalography.Scientific reports · 2026Article
- Inter-brain synchrony is associated with greater shared identity within naturalistic conversational pairs.British journal of psychology (London, England : 1953) · 2025Article
- Stage 1 registered report examining agency and outcome valence on inter-brain synchrony during dyadic moral judgments.Frontiers in psychology · 2025Article
- An EEG-based marker of functional connectivity: detection of major depressive disorder.Cognitive neurodynamics · 2024Article
- Implementation of a Real-Time Brain-to-Brain Synchrony Estimation Algorithm for Neuroeducation Applications.Sensors (Basel, Switzerland) · 2024Article
- Dual-MEG interbrain synchronization during turn-taking verbal interactions between mothers and children.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Mobile fNIRS for exploring inter-brain synchrony across generations and time.Frontiers in neuroergonomics · 2023Article
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Authors and funding
8 authors.
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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.
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