bioRxivNeurosciencePreprint
Neural Decoding of Musical Engagement Reveals Tension-Release Dynamics
Alice Vivien BarchetiD, Prachi PateliD, Stephan BickeliD, Ashesh D. MehtaiD, Morwaread Mary FarboodiD, Shihab ShammaiD, Nima MesgaraniiD, Claire PelofiiD
Abstract
Music listening is one of the most compelling and rewarding activities humans engage in spontaneously. But what exactly catches people"s attention when listening to music remains unclear. Musicologists have argued that tension-release dynamics in music constitute crucial features of the listening experience. They arise from the intertwining of different low-level and high-level features and sit at the core of music enjoyment by engaging listeners dynamically. This study aims to characterize the relationship between tension dynamics and engagement during naturalistic music listening. Using canonical correlation analysis, we decoded the music envelope from EEG and ECoG responses and found that musical tension patterns, as reported by listeners, were predictive of fluctuations in the coupling between the music and the neural response. Importantly, tension dynamics were significantly correlated with neural measures of envelope tracking even after controlling for loudness and musical expectations, confirming the specific and crucial role of musical tension in engaging listeners. These results shed new light on how musical structure gives rise to internal response modulations that, in turn, dynamically reflect musical engagement. This interplay may underlie the pervasive and emotionally rewarding nature of music. Significance StatementThis work addresses a fundamental question in cognition: how engagement dynamically modulates complex auditory input processing. We investigate this issue within the well-controlled yet ecologically valid context of music perception. At the core of the musical experience lies the perception of tension - the shifting sense of expectancy, instability, and resolution that guides listening across time. We show that fluctuations in musical tension, shaped by musical structure, reliably predict modulations of auditory engagement, thereby illuminating an understudied phenomenon: what makes music engaging.
- organism: human
- assay: electronic health records
- research focus: differential expression
- approach: statistical model
- Citations
- 2
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