EEG of the Dancing Brain: Decoding Sensory, Motor, and Social Processes during Dyadic Dance
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Abstract
Real-world social cognition requires processing and adapting to multiple dynamic information streams. Interpreting neural activity in such ecological conditions remains a key challenge for neuroscience. This study leverages advancements in denoising techniques and multivariate modeling to extract interpretable EEG signals from pairs of (male and/or female) participants engaged in spontaneous dyadic dance. Using multivariate temporal response functions (mTRFs), we investigated how music acoustics, self-generated kinematics, other-generated kinematics, and social coordination uniquely contributed to EEG activity. Electromyogram recordings from ocular, face, and neck muscles were also modeled to control for artifacts. The mTRFs effectively disentangled neural signals associated with four processes: (I) auditory tracking of music, (II) control of self-generated movements, (III) visual monitoring of partner movements, and (IV) visual tracking of social coordination. We show that the first three neural signals are driven by event-related potentials: the P50-N100-P200 triggered by acoustic events, the central lateralized movement-related cortical potentials triggered by movement initiation, and the occipital N170 triggered by movement observation. Notably, the (previously unknown) neural marker of social coordination encodes the spatiotemporal alignment between dancers, surpassing the encoding of self- or partner-related kinematics taken alone. This marker emerges when partners can see each other, exhibits a topographical distribution over occipital areas, and is specifically driven by movement observation rather than initiation. Using data-driven kinematic decomposition, we further show that vertical bounce movements best drive observers’ EEG activity. These findings highlight the potential of real-world neuroimaging, combined with multivariate modeling, to uncover the mechanisms underlying complex yet natural social behaviors.
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The paradigm does not entail providing participants with any shared stimulus or task, thereby minimizing the likelihood of synchrony arising from common external input (stimulus-driven synchrony).
“Notably, this paradigm does not entail providing participants with any shared stimulus or task (cf. [49, 50, 51]), thereby minimizing the likelihood of synchrony arising from common external input, that is, stimulus‐driven synchrony [52, 53].”
From Interpersonal Synchronization of Autonomic Physiology via Mere Visual Contact (2026) · cites this paper as [52]
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Nguyen, T., Bigand, F., Reisner, S., Koul, A., Bianco, R., Marková, G., Hoehl, S., & Novembre, G. (2026) · eLife · doi:10.7554/elife.107088.2 · Cited by 1 · see citing works
Self-citationNeural Oscillation and Connectivity Dynamics Underlying Motor Cognitive Dual Task PerformancePreprint
Guo, M., Wang, Q., Wang, L., Li, M., Sun, L., Wang, T., & Xu, G. (2025) · Research Square · doi:10.21203/rs.3.rs-7078855/v1
Technology-Enhanced Musical Practice Using Brain–Computer Interfaces: A Topical Review
Perrotta, A., Estima, J., Cardoso, J. C. S., Roque, L., Pais-Vieira, M., & Pais-Vieira, C. (2025) · Technologies · doi:10.3390/technologies13080365
Moffat, R., & Cross, E. S. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.962
Tasnim, N., Hutchinson, A., Gyamfi, D., Makani, K., Nobriga, G., & Basso, J. C. (2026) · Research Square · doi:10.21203/rs.3.rs-8398609/v1
Development of Auditory and Spontaneous Movement Responses to Music over the First Postnatal YearPreprint
Nguyen, T., Bigand, F., Reisner, S., Koul, A., Bianco, R., Marková, G., Hoehl, S., & Novembre, G. (2026) · eLife · doi:10.7554/elife.107088.3
Self-citationHearing movement, seeing sound: multimodal predictive coding in pianist-dancer interaction
Cao, X., & Shi, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1820643
Music generation controllable dance based on improved transformer model and style consistency
Cao, X., & Wang, Y. (2026) · International Journal of Information and Communication Technology · doi:10.1504/ijict.2026.10078390
Nguyen, T., Bigand, F., Reisner, S., Koul, A., Bianco, R., Marková, G., Hoehl, S., & Novembre, G. (2026) · eLife · doi:10.7554/elife.107088.4.sa2
Self-citationThe e-Music Box Roma : an open research tool for accessible joint music makingPreprint
Abalde, S. F., Bigand, F., Orciari, L., Lorini, C., Keller, P. E., Parmiggiani, A., Crepaldi, M., & Novembre, G. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.02.736121
Self-citationFuture Directions in Dance Neuroscience
Martins, S. A. (2026) · Global perspectives in applied sport and performance psychology. · doi:10.1007/978-3-032-24615-8_11
Brain Anatomy in Dance Context
Martins, S. A. (2026) · Global perspectives in applied sport and performance psychology. · doi:10.1007/978-3-032-24615-8_2
Iorio, C., Román-Caballero, R., Trainor, L. J., Moghimi, S., & Tillmann, B. (2026) · Developmental Review · doi:10.1016/j.dr.2026.101294
Aesthetic perception is an embodied experience
Cross, E. S. (2026) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2026.102454
Amplitude without phase: interpersonal movement coordination grades inter-brain couplingPreprint
Tasnim, N., Delauder, R. M., Aychman, M. M., Moore, Z., Gahagan, M., Purevtugs, J., Newpol, J., Frank, R., Grizzell, G., Nobriga, G., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.09.750441
Respiration and individual differences shape behavioral and inter-brain synchronizationPreprint
Yi, W., & Palmėr, C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.28.755199
Audience Gaze and Felt Social Connection With Individual Performers During Live Dance
Arthuis, A., Abad-Hernando, S., Kokkinou, A., Febbo, M., Rai, L. A., 이해은, Sperling, M., Ward, J. A., Richardson, D. C., & Orgs, G. (2026) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.70412
Meletaki, V., Christensen, J. F., Darda, K. M., Rai, L. A., & Orlandi, A. (2026) · iScience · doi:10.1016/j.isci.2026.117810
- Authors
- Bigand, F., Bianco, R., Abalde, S. F., Nguyen, T., & Novembre, G.
- Affiliations
- Italian Institute of Technology (IT)
- Corresponding author
- Bigand, Félix
- Novembre, Giacomo
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2025-04-14
- Volume
- 45
- Issue
- 21
- Pages
- e2372242025
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC12096039
- OpenAlex
- W4409427889
- Cited by
- 21
- References
- 83
- Citations by year
- 2026: 11 · 2025: 10
- FWCI
- 23.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion, cc-by)
- Funders
- European Research Council (948186)
- European Union MSCA (101064334, 101105726)
- Topics
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Diversity and Impact of Dance
- Keywords
- social coordination, event-related potentials, movement-related potentials, N170, movement observation, self-generated movement, kinematic decomposition, social cognition, EEG denoising
- MeSH terms
- Adult, Biomechanical Phenomena, Brain, Dancing, Electroencephalography, Electromyography, Evoked Potentials, Female, Humans, Male, Psychomotor Performance, Young Adult
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