Evidence map›Paper›PMID 40737416›Full record

ArticleScience advances2025

Revealing rhythm categorization in human brain activity.

Francesca M Barbero, Tomas Lenc, Nori Jacoby, Rainer Polak, Manuel Varlet, Sylvie Nozaradan

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Cortico-striatal network architecture shapes rhythmic biases in music.Cerebral cortex (New York, N.Y. : 1991) · 2026
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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

6 authors.

Francesca M BarberoInstitute of Neuroscience (IoNS), University of Louvain (UCLouvain), Brussels, Belgium.ORCID 0000-0003-4445-4402
Tomas LencInstitute of Neuroscience (IoNS), University of Louvain (UCLouvain), Brussels, Belgium.ORCID 0000-0001-5796-1388
Nori JacobyComputational Auditory Perception Group, Max Planck Institute for Empirical Aesthetics, Grüneburgweg 14, 60322 Frankfurt am Main, Germany.ORCID 0000-0003-2868-0100
Rainer PolakRITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Oslo, Norway.ORCID 0000-0001-5684-1499
Manuel VarletThe MARCS Institute for Brain, Behaviour & Development, Western Sydney University, Sydney, Australia.ORCID 0000-0001-5772-2061
Sylvie NozaradanInstitute of Neuroscience (IoNS), University of Louvain (UCLouvain), Brussels, Belgium.ORCID 0000-0002-5662-3173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans across cultures show an outstanding capacity to perceive, learn, and produce musical rhythms. These skills rely on mapping the infinite space of possible rhythmic sensory inputs onto a finite set of internal rhythm categories. What is the nature of the brain processes underlying rhythm categorization? We used electroencephalography to measure brain activity as human participants listened to a continuum of rhythmic sequences characterized by repeating patterns of two interonset intervals. Using frequency and representational similarity analyses, we show that brain activity does not merely track the temporal structure of rhythmic inputs but, instead, produces categorical representation of rhythms. These neural rhythm categories arise automatically, independent of any motor- or timing-related tasks, yet exhibit strong similarity with categorization observed in overt behavior. Together, these results and methodological advances constitute a critical step toward understanding the biological roots and diversity of musical behaviors across cultures.

Indexed as

Auditory PerceptionBrainPeriodicityAcoustic StimulationAdultBrain MappingElectroencephalographyFemaleHumansMaleMusicYoung Adult

Identifiers

PMID40737416
PMCPMC12309689

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Registered trials

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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.