Beta and Theta Oscillations Correlate With Subjective Time During Musical Improvisation in Ecological and Controlled Settings: A Single Subject Study

In this paper, we describe the results of a single subject study attempting at a better understanding of the subjective mental state during musical improvisation. In a first experiment, we setup an ecological paradigm measuring EEG on a musician in free improvised concerts with an audience, followed...

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Published inFrontiers in neuroscience Vol. 15; p. 626723
Main Authors Farrugia, Nicolas, Lamouroux, Alix, Rocher, Christophe, Bouvet, Jules, Lioi, Giulia
Format Journal Article
LanguageEnglish
Published Lausanne Frontiers Research Foundation 10.06.2021
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Summary:In this paper, we describe the results of a single subject study attempting at a better understanding of the subjective mental state during musical improvisation. In a first experiment, we setup an ecological paradigm measuring EEG on a musician in free improvised concerts with an audience, followed by retrospective rating of the mental state of the improviser. We introduce Subjective Temporal Resolution (STR), a retrospective rating assessing the instantaneous quantization of subjective timing of the improviser. We identified high and low STR states using Hidden Markov Models in two performances, and were able to decode those states using supervised learning on instantaneous EEG power spectrum, showing increases in theta and alpha power with high STR values. In a second experiment, we found an increase of theta and beta power when experimentally manipulating STR in a musical improvisation imagery experiment. These results are interpreted with respect to previous research on flow state in creativity, as well as with the temporal processing literature. We suggest that a component of the subjective state of musical improvisation may be reflected in an underlying mechanism related to the subjective quantization of time. We also demonstrate the feasibility of single case studies of musical improvisation using brain activity measurements and retrospective reports, by obtaining consistent results across multiple sessions.
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PMCID: PMC8222590
Reviewed by: Jared Boasen, Université de Montréal, Canada; Karen Chan Barrett, University of California, San Francisco, United States
Edited by: Rex Eugene Jung, University of New Mexico, United States
This article was submitted to Auditory Cognitive Neuroscience, a section of the journal Frontiers in Neuroscience
ISSN:1662-453X
1662-4548
1662-453X
DOI:10.3389/fnins.2021.626723