Neural dynamics of predictive timing and motor engagement in music listening
Zalta A, Large EW, Schön D, Morillon B
Science advances · 50 citations
How it was studied
- Design
- In vitro/mechanistic study (classified by our AI screen)
- Studied in
- People
- Main outcome
- No health outcome
Who paid for it
- Funding
- Independent funding
- University or hospital
- Aix-Marseille Université
- University or hospital
- University of Connecticut
- Government
- Agence Nationale de la Recherche
- Government
- European Research Council
- Grants
- Agence Nationale de la Recherche (ANR-21-CE28-0010); Agence Nationale de la Recherche (ANR-11-IDEX-0001); Agence Nationale de la Recherche (ANR-20-CE28-0007); Agence Nationale de la Recherche (ANR-16-CONV-0002)
Based on 4 listed funder(s).
Publication
- Published
- 2024-03-06 · Sci Adv · vol. 10 · issue 10 · p. eadi2525
- Publisher
- American Association for the Advancement of Science
- Cited
- 56 citations · more than 99% of similar papers · 12.4× the field average
- Impact
- Top 10% most cited in its field
- References
- 88 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Neuroscience and Music Perception · Neural dynamics and brain function · Hearing Loss and Rehabilitation
- Keywords
- Hertz, Magnetoencephalography, Melody, Rhythm, Predictability, Psychology, Dynamics (music), Active listening, Cognitive psychology, Neural correlates of consciousness, Audiology, Neuroscience, Communication, Computer science, Electroencephalography, Cognition, Acoustics, Medicine, Physics, Art
- MeSH
- cerebral cortex, cell membrane, humans, magnetoencephalography, music
4 authors
From FR, US
- Arnaud Zalta · correspondingInserm; Aix-Marseille Université; Institut de Neurosciences des Systèmes
- Edward W. LargeUniversity of Connecticut
- Daniele SchönInserm; Aix-Marseille Université; Institut de Neurosciences des Systèmes
- Benjamin Morillon · correspondingInserm; Aix-Marseille Université; Institut de Neurosciences des Systèmes
Abstract
Why do humans spontaneously dance to music? To test the hypothesis that motor dynamics reflect predictive timing during music listening, we created melodies with varying degrees of rhythmic predictability (syncopation) and asked participants to rate their wanting-to-move (groove) experience. Degree of syncopation and groove ratings are quadratically correlated. Magnetoencephalography data showed that, while auditory regions track the rhythm of melodies, beat-related 2-hertz activity and neural dynamics at delta (1.4 hertz) and beta (20 to 30 hertz) rates in the dorsal auditory pathway code for the experience of groove. Critically, the left sensorimotor cortex coordinates these groove-related delta and beta activities. These findings align with the predictions of a neurodynamic model, suggesting that oscillatory motor engagement during music listening reflects predictive timing and is effected by interaction of neural dynamics along the dorsal auditory pathway.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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