Evidence map›Paper›PMID 42183517›Full record

ReviewFrontiers in psychology2026

Hearing movement, seeing sound: multimodal predictive coding in pianist-dancer interaction.

Xinyu Cao, Xinlei Shi

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Xinyu CaoBeihua University, Jilin, China.
Xinlei ShiBeihua University, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Live piano accompaniment for dance poses a "zero-latency paradox": performers achieve near-simultaneous audiovisual alignment despite sensory and integration delays that should make purely reactive control too slow. This review argues that pianist-dancer coordination can be usefully framed as bidirectional inference under cross-modal predictive coding, supported by converging behavioral, kinematic, and neurophysiological evidence. Motion-capture and time-series studies suggest that pianists can use dancers' preparatory kinematics, such as trajectory shifts and acceleration changes, to shorten the prediction window for timing and dynamics, while neuroimaging and EEG findings indicate action-perception coupling consistent with internal simulation of action-sound mappings ("seeing sound"). Sensorimotor synchronization paradigms show that micro-timing perturbations in auditory beats elicit rapid, asymmetric phase correction in stepping and tapping, consistent with predictive control in dancers ("hearing movement"), and autonomic measures further suggest that musical tension can modulate arousal before overt movement changes. Integrating coupled-oscillator modeling and EEG hyperscanning, we highlight quantifiable bidirectional adaptation and converging evidence that coordination is dynamically co-regulated rather than purely reactive or unidirectional. Taken together, the reviewed literature supports a neurally informed account of closed-loop dyadic coordination while also underscoring the need for more direct evidence from pianist-dancer interaction itself.

Indexed as

active inferencecoupled oscillator modelEEG hyperscanningjoint actionmicro-timing perturbationpianist–dancer interactionpredictive codingsensorimotor synchronization

Identifiers

PMID42183517
PMCPMC13194406

What OpenQuestion holds

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LicenceCC BY
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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.