Journal of Cognitive NeuroscienceNeurosciencePeer-reviewed journal article
High-order areas and auditory cortex both represent the high-level event structure of music
Jamal A. WilliamsiD, Elizabeth Hellmuth MargulisiD, Samuel A. NastaseiD, Janice CheniD, Uri HassoniD, Kenneth A. NormaniD, Christopher A. BaldassanoiD
Abstract
Recent fMRI studies of event segmentation have found that default mode regions represent high-level event structure during movie watching. In these regions, neural patterns are relatively stable during events and shift at event boundaries. Music, like narratives, contains hierarchical event structure (e.g., sections are composed of phrases). Here, we tested the hypothesis that brain activity patterns in default mode regions reflect the high-level event structure of music. We used fMRI to record brain activity from 25 participants (male and female) as they listened to a continuous playlist of 16 musical excerpts, and additionally collected annotations for these excerpts by asking a separate group of participants to mark when meaningful changes occurred in each one. We then identified temporal boundaries between stable patterns of brain activity using a hidden Markov model and compared the location of the model boundaries to the location of the human annotations. We identified multiple brain regions with significant matches to the observer-identified boundaries, including auditory cortex, medial prefrontal cortex, parietal cortex, and angular gyrus. From these results, we conclude that both higher-order and sensory areas contain information relating to the high-level event structure of music. Moreover, the higher-order areas in this study overlap with areas found in previous studies of event perception in movies and audio narratives, including regions in the default mode network. Significance StatementListening to music requires the brain to track dynamics at multiple hierarchical timescales. In our study, we had fMRI participants listen to real-world music (classical and jazz pieces) and then used an unsupervised learning algorithm (a hidden Markov model) to model the high-level event structure of music within participants brain data. This approach revealed that default mode brain regions involved in representing the high-level event structure of narratives are also involved in representing the high-level event structure of music. These findings provide converging support for the hypothesis that these regions play a domain-general role in processing events occurring over long timescales.
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- research focus: spatial domain detection
- research focus: benchmarking
- approach: statistical model
- Citations
- 40
- FWCI
- 4.64
- Field percentile
- top 4%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Music-selective cortex is sensitive to structure in both pitch and time
Dana Boebinger, Josh H. McDermott, … Sam Norman-Haignere·Cerebral CortexPeer-reviewed·May 23, 2026
- Hierarchical neural integration of musical structure during expert performance
Jamal A. Williams, Coraline Rinn Iordan, … Elise A. Piazza·bioRxiv·Jul 23, 2026
- Spatiotemporal whole-brain dynamics of auditory patterns recognition
Leonardo Bonetti, Elvira Brattico, … Morten L. Kringelbach·bioRxiv·Jun 23, 2020
- An ALE meta-analytic review of top-down and bottom-up processing of music in the brain
Victor Pando‐Naude, Agata Patyczek, … Peter Vuust·Scientific ReportsPeer-reviewed·Oct 21, 2021
- The neural response to the temporal fine structure of continuous musical pieces is not affected by selective attention
Octave Etard, Rémy Ben Messaoud, … Tobias Reichenbach·bioRxiv·Jan 27, 2021
- Intracranial recordings from human auditory cortex reveal a neural population selective for musical song
Sam Norman-Haignere, Jenelle Feather, … Nancy Kanwisher·bioRxiv·Nov 14, 2020