Evidence map›Paper›PMID 39506628›Full record

ArticleBMC neuroscience2024

Mobile brain imaging in butoh dancers: from rehearsals to public performance.

Constantina Theofanopoulou, Sadye Paez, Derek Huber, Eric Todd, Mauricio A Ramírez-Moreno, Badie Khaleghian, Alberto Muñoz Sánchez, Leah Barceló, Vangeline Gand, José L Contreras-Vidal

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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 · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. A journey from speech to dance through the field of oxytocin.Comprehensive psychoneuroendocrinology · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Constantina TheofanopoulouThe Rockefeller University, New York, USA. ktheofanop@rockefeller.edu.
Sadye PaezThe Rockefeller University, New York, USA. spaez@rockefeller.edu.
Derek HuberNSF IUCRC BRAIN Center, University of Houston, Houston, TX, USA.
Eric ToddNSF IUCRC BRAIN Center, University of Houston, Houston, TX, USA.
Mauricio A Ramírez-MorenoNSF IUCRC BRAIN Center, University of Houston, Houston, TX, USA.
Badie KhaleghianRice University, Houston, TX, USA.
Alberto Muñoz SánchezThe Rockefeller University, New York, USA.
Leah BarcelóBarnand College, Columbia University, New York, USA.
Vangeline GandNew York Butoh Institute, New York, USA.
José L Contreras-VidalNSF IUCRC BRAIN Center, University of Houston, Houston, TX, USA. jlcontreras-vidal@uh.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BrainDancingElectroencephalographyAdultBrain-Computer InterfacesFemaleHumansMaleYoung AdultBrain-computer interfaceButohDanceDance therapyElectroencephalographyHyperscanningInterbrain synchronyInterdisciplinarity

Identifiers

PMID39506628
PMCPMC11539292

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.