ArticleBMC neuroscience2024
Mobile brain imaging in butoh dancers: from rehearsals to public performance.
Article in BMC neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review and Meta-Analysis of EEG, fMRI, and fNIRS Studies on the Psychological Impact of Nature on Well-Being.International journal of environmental research and public health · 2026Pooled it
- Theta oscillations are associated with movement during choreographed and improvised dance - a case series with Memphis Jookin': The Show.Research square · 2026Article
- EEG of the Dancing Brain: Decoding Sensory, Motor, and Social Processes during Dyadic Dance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Individual abilities to estimate levels of movement synchrony predict action observation network activation.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Music mindfulness acutely modulates autonomic activity and improves psychological state in anxiety and depression.Frontiers in neuroscience · 2025Article
- The social and neural bases of creative movement: workshop overview.BMC neuroscience · 2024Article
- A journey from speech to dance through the field of oxytocin.Comprehensive psychoneuroendocrinology · 2023Review
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDissecting the neurobiology of dance would shed light on a complex, yet ubiquitous, form of human communication. In this experiment, we sought to study, via mobile electroencephalography (EEG), the brain activity of five experienced dancers while dancing butoh, a postmodern dance that originated in Japan.
resultsWe report the experimental design, methods, and practical execution of a highly interdisciplinary project that required the collaboration of dancers, engineers, neuroscientists, musicians, and multimedia artists, among others. We explain in detail how we technically validated all our EEG procedures (e.g., via impedance value monitoring) and minimized potential artifacts in our recordings (e.g., via electrooculography and inertial measurement units). We also describe the engineering details and hardware that enabled us to achieve synchronization between signals recorded at different sampling frequencies, along with a signal preprocessing and denoising pipeline that we used for data re-sampling and power line noise removal. As our experiment culminated in a live performance, where we generated a real-time visualization of the dancers' interbrain synchrony on a screen via an artistic brain-computer interface, we outline all the methodology (e.g., filtering, time-windows, equation) we used for online bispectrum estimations. Additionally, we provide access to all the raw EEG data and codes we used in our recordings. We, lastly, discuss how we envision that the data could be used to address several hypotheses, such as that of interbrain synchrony or the motor theory of vocal learning.
conclusionsBeing, to our knowledge, the first study to report synchronous and simultaneous recording from five dancers, we expect that our findings will inform future art-science collaborations, as well as dance-movement therapies.
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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.