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  Segmenting and predicting musical phrase structure exploits neural gain modulation and phase precession

Teng, X., Larrouy-Maestri, P., & Poeppel, D. (2024). Segmenting and predicting musical phrase structure exploits neural gain modulation and phase precession. The Journal of Neuroscience, 44(30): e1331232024. doi:10.1523/JNEUROSCI.1331-23.2024.

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 Creators:
Teng, Xiangbin1, Author           
Larrouy-Maestri, Pauline2, 3, Author                 
Poeppel, David3, 4, 5, 6, Author
Affiliations:
1Department of Psychology, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, ou_persistent22              
2Department of Music, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421696              
3Center for Language, Music, and Emotion (CLaME), New York, NY, USA 10003, ou_persistent22              
4Ernst Struengmann Institute for Neuroscience, 60528 Frankfurt, Germany, ou_persistent22              
5Department of Psychology, New York University , New York, NY, USA 10003, ou_persistent22              
6Music and Audio Research Laboratory (MARL), New York, NY, USA 11201, ou_persistent22              

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 Abstract: Music, like spoken language, is often characterized by hierarchically organized structure. Previous experiments have shown neural tracking of notes and beats, but little work touches on the more abstract question: how does the brain establish high-level musical structures in real time? We presented Bach chorales to participants (20 females and 9 males) undergoing electroencephalogram (EEG) recording to investigate how the brain tracks musical phrases. We removed the main temporal cues to phrasal structures, so that listeners could only rely on harmonic information to parse a continuous musical stream. Phrasal structures were disrupted by locally or globally reversing the harmonic progression, so that our observations on the original music could be controlled and compared. We first replicated the findings on neural tracking of musical notes and beats, substantiating the positive correlation between musical training and neural tracking. Critically, we discovered a neural signature in the frequency range around 0.1 Hz (modulations of EEG power) that reliably tracks musical phrasal structure. Next, we developed an approach to quantify the phrasal phase precession of the EEG power, revealing that phrase tracking is indeed an operation of active segmentation involving predictive processes. We demonstrate that the brain establishes complex musical structures online over long timescales (>5 seconds) and actively segments continuous music streams in a manner comparable to language processing. These two neural signatures, phrase tracking and phrasal phase precession, provide new conceptual and technical tools to study the processes underpinning high-level structure building using non-invasive recording techniques.

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Language(s): eng - English
 Dates: 2024-05-292023-07-172024-06-112024-06-262024-07-24
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: No review
 Identifiers: DOI: 10.1523/JNEUROSCI.1331-23.2024
 Degree: -

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Title: The Journal of Neuroscience
  Other : The Journal of Neuroscience: the Official Journal of the Society for Neuroscience
  Abbreviation : J. Neurosci.
Source Genre: Journal
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Publ. Info: Washington, DC : Society of Neuroscience
Pages: - Volume / Issue: 44 (30) Sequence Number: e1331232024 Start / End Page: - Identifier: ISSN: 0270-6474
CoNE: https://pure.mpg.de/cone/journals/resource/954925502187_1