ArticleFrontiers in neuroscience2023
Auditory and reward structures reflect the pleasure of musical expectancies during naturalistic listening.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Self-Chosen Music as a Contributor to Music-Induced Analgesia Across Diverse Socio-Cultural Backgrounds: A Crossover Randomised Controlled Trial.European journal of pain (London, England) · 2025Trial
- Childhood Emotional Abuse and Short-Term Stress Continuity Among University Students: The Role of General Music Preference.Behavioral sciences (Basel, Switzerland) · 2026Article
- Guided Imagery and Music modulates neural circuits in mood disorders: a systematic review of mechanisms and clinical efficacy.Frontiers in psychology · 2026Review
- A taxonomic framework of music-based intervention components to guide research: recommendations from the NIH U24 music research networks.Frontiers in psychology · 2026Article
- Predictive processes shape individual musical preferences.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Music reward sensitivity is associated with greater information transfer capacity within dorsal and motor white matter networks in musicians.Brain structure & function · 2024Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 4 countries.
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Abstract
Enjoying music consistently engages key structures of the neural auditory and reward systems such as the right superior temporal gyrus (R STG) and ventral striatum (VS). Expectations seem to play a central role in this effect, as preferences reliably vary according to listeners' uncertainty about the musical future and surprise about the musical past. Accordingly, VS activity reflects the pleasure of musical surprise, and exhibits stronger correlations with R STG activity as pleasure grows. Yet the reward value of musical surprise - and thus the reason for these surprises engaging the reward system - remains an open question. Recent models of predictive neural processing and learning suggest that forming, testing, and updating hypotheses about one's environment may be intrinsically rewarding, and that the constantly evolving structure of musical patterns could provide ample opportunity for this procedure. Consistent with these accounts, our group previously found that listeners tend to prefer melodic excerpts taken from real music when it either validates their uncertain melodic predictions (i.e., is high in uncertainty and low in surprise) or when it challenges their highly confident ones (i.e., is low in uncertainty and high in surprise). An independent research group (Cheung et al., 2019) replicated these results with musical chord sequences, and identified their fMRI correlates in the STG, amygdala, and hippocampus but not the VS, raising new questions about the neural mechanisms of musical pleasure that the present study seeks to address. Here, we assessed concurrent liking ratings and hemodynamic fMRI signals as 24 participants listened to 50 naturalistic, real-world musical excerpts that varied across wide spectra of computationally modeled uncertainty and surprise. As in previous studies, liking ratings exhibited an interaction between uncertainty and surprise, with the strongest preferences for high uncertainty/low surprise and low uncertainty/high surprise. FMRI results also replicated previous findings, with music liking effects in the R STG and VS. Furthermore, we identify interactions between uncertainty and surprise on the one hand, and liking and surprise on the other, in VS activity. Altogether, these results provide important support for the hypothesized role of the VS in deriving pleasure from learning about musical structure.
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Registered trials
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.