Exploring the Effects of Musical Features on Autonomic Modulation: a Preliminary Study

Although it is known that music can modulate emotions affecting the autonomic nervous system (ANS) responses, hypotheses on the time-varying influence of specific musical features on nonlinear ANS modulation are still unclear. In this study, we used cardiovascular data from the Continuously Annotated Signal of Emotion dataset. Specifically, we considered one of the stimuli (a relaxing piano piece), extracted the loudness and the envelope of the fundamental frequency (F0 envelope), and analysed the ANS dynamics of the 30 participants. The Convergent Cross Mapping approach was employed to infer the causal relationship between the music features and the time-varying frequency parameters of heart rate variability. Our approach evidenced differential statistical results related to F<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</inf> envelope and loudness. This suggests that music features can play different roles in driving ANS responses and that the present approach allows to quantify the strength of this causal coupling.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/esgco63003.2024.10767068
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring the Effects of Musical Features on Autonomic Modulation: a Preliminary Study

Enzo Pasquale Scilingo, Didier Grandjean, Andrea Gargano, Manuela Filippa et al.
EEG and Brain-Computer Interfaces
article

Exploring the Effects of Musical Features on Autonomic Modulation: a Preliminary Study

Enzo Pasquale Scilingo, Didier Grandjean, Andrea Gargano, Manuela Filippa, M. Nardelli, Laura Lavezzo
article en

Abstract

Although it is known that music can modulate emotions affecting the autonomic nervous system (ANS) responses, hypotheses on the time-varying influence of specific musical features on nonlinear ANS modulation are still unclear. In this study, we used cardiovascular data from the Continuously Annotated Signal of Emotion dataset. Specifically, we considered one of the stimuli (a relaxing piano piece), extracted the loudness and the envelope of the fundamental frequency (F0 envelope), and analysed the ANS dynamics of the 30 participants. The Convergent Cross Mapping approach was employed to infer the causal relationship between the music features and the time-varying frequency parameters of heart rate variability. Our approach evidenced differential statistical results related to F<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</inf> envelope and loudness. This suggests that music features can play different roles in driving ANS responses and that the present approach allows to quantify the strength of this causal coupling.

University of Pisa (IT), University of Geneva (CH), Piaggio (Italy) (IT)
Ministry of Education
Reduced inequalities
Openalex Percentile: Top 78%
EEG and Brain-Computer Interfaces
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