ArticleScientific reports2017
Brain-to-brain entrainment: EEG interbrain synchronization while speaking and listening.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.
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Who cites it
80 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Promoting Social Connectedness Through Interbrain Neurofeedback.Annals of the New York Academy of Sciences · 2025Trial
- Coherent behavior of neuromuscular oscillations between isometrically interacting subjects: experimental study utilizing wavelet coherence analysis of mechanomyographic and mechanotendographic signals.Scientific reports · 2018Trial
- Adult-to-infant unidirectional neural coupling mediates selective social learning in infants from the United Kingdom and Singapore.Nature communications · 2026Article
- Speech Neurophysiology in Realistic Contexts: Big Hype or Big Leap?The European journal of neuroscience · 2026Review
- Social attachment shapes interbrain synchrony.bioRxiv : the preprint server for biology · 2026Article
- Towards an informational account of interpersonal coordination.Nature reviews. Neuroscience · 2026Review
- Testing the causal relationship between interpersonal closeness and inter-brain synchrony.Scientific reports · 2026Article
- Dyadic Neural Synchronization: Differences between Offline and Computer-assisted Online Verbal Interaction.Human brain mapping · 2025Article
- Article
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- Estimating hypoxia-induced brain dysfunction and cognitive decline through exhaled breath monitoring.Respiratory research · 2025Article
- Dispositional empathy as a driver of inter-individual neural phase synchrony.Scientific reports · 2025Article
- A preliminary EEG study on persuasive communication towards groupness.Scientific reports · 2025Article
- Event-related brain activity in response to partners' speech in natural conversation.Social cognitive and affective neuroscience · 2025Article
- Hyper-brain independent component analysis (HB-ICA): an approach for detecting inter-brain networks from fNIRS-hyperscanning data.Biomedical optics express · 2025Article
- Social influence in persuasion and negotiation: a hyperscanning EEG and autonomic measures study.Frontiers in neuroscience · 2025Article
- Abstractness and social interaction through a new lens: the potentialities of hyperscanning in naturalistic settings.Frontiers in neuroscience · 2025Article
- Eigenmodes of the deep unconscious: the neuropsychology of Jungian archetypes and psychedelic experience.Neuroscience of consciousness · 2025Review
- Neural empathy mechanisms are shared for physical and social pain, and increase from adolescence to older adulthood.Social cognitive and affective neuroscience · 2024Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroencephalographic hyperscanning was used to investigate interbrain synchronization patterns in dyads of participants interacting through speech. Results show that brain oscillations are synchronized between listener and speaker during oral narratives. This interpersonal synchronization is mediated in part by a lower-level sensory mechanism of speech-to-brain synchronization, but also by the interactive process that takes place in the situation per se. These results demonstrate the existence of brain-to-brain entrainment which is not merely an epiphenomenon of auditory processing, during listening to one speaker. The study highlights the validity of the two-person neuroscience framework for understanding induced brain activity, and suggests that verbal information exchange cannot be fully understood by examining the listener's or speaker's brain activity in isolation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.