ArticleScientific reports2024
Movement synchrony among dance performers predicts brain synchrony among dance spectators.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- duet: An R package for dyadic analysis of motion data generated by OpenPose.Behavior research methods · 2025Article
- Article
- 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Performing dance is an intrinsically social art form where at least one person moves while another person watches. Dancing in groups promotes social bonding, but how does group dance affect the people watching? A group of dancers and dance novices watched a 30 min dance video individually in an fMRI scanner. In a follow-up behavioural study, the same people watched the video again and provided continuous enjoyment ratings. Firstly, we computed cross-recurrence of continuous enjoyment ratings and inter-subject correlations (ISCs) in fMRI separately for both groups, and with the choreographer of the dance work. At both behavioural and neural levels, dancers responded more similarly to each other than novices. ISCs among dancers extended beyond brain areas involved in audio-visual integration and sensory areas of human movement perception into motor areas, suggesting greater sensorimotor familiarity with the observed dance movements in the expert group. Secondly, we show that dancers' brain activations and continuous ratings are more similar to the choreographer's ratings in keeping with sharing an aesthetic and artistic perspective when viewing the dance. Thirdly, we show that movement synchrony among performers is the best predictor of brain synchrony among both expert and novice spectators. This is consistent with the idea that changes in emergent movement synchrony are a key aesthetic feature of performing dance. Finally, ISCs across perceptual and motor brain areas were primarily driven by movement acceleration and synchrony, whereas ISCs in orbital and pre-frontal brain areas were overall weaker and better explained by the continuous enjoyment ratings of each group. Our findings provide strong evidence that the aesthetic appreciation of dance involves a common experience between dance spectators and the choreographer. Moreover, the similarity of brain activations and of enjoyment increases with shared knowledge of - and practice in - the artform that is being experienced, in this case contemporary performing dance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.