| Title |
Exploring spatio-spectral electroencephalogram modulations of imbuing emotional intent during active piano playing / |
| Authors |
Pousson, Jachin Edward ; Shen, Yi-Wei ; Lin, Yuan-Pin ; Voicikas, Aleksandras ; Pipinis, Evaldas ; Bernhofs, Valdis ; Burmistrova, Lana ; Griškova-Bulanova, Inga |
| DOI |
10.1109/TNSRE.2023.3327740 |
| Full Text |
|
| Is Part of |
IEEE Transactions on neural systems and rehabilitation engineering.. New York : Institute of Electrical and Electronics Engineers Inc.. 2023, vol. 31, p. 4347-4356.. ISSN 1534-4320. eISSN 1558-0210 |
| Keywords [eng] |
brain-computer music interface ; electroencephalogram ; electroencephalogram variability ; emotional intent ; independent component analysis ; Music improvisation |
| Abstract [eng] |
Imbuing emotional intent serves as a crucial modulator of music improvisation during active musical instrument playing. However, most improvisation-related neural endeavors have been gained without considering the emotional context. This study attempts to exploit reproducible spatio-spectral electroencephalogram (EEG) oscillations of emotional intent using a data-driven independent component analysis framework in an ecological multiday piano playing experiment. Through the four-day 32-ch EEG dataset of 10 professional players, we showed that EEG patterns were substantially affected by both intra- and inter-individual variability underlying the emotional intent of the dichotomized valence (positive vs. negative) and arousal (high vs. low) categories. Less than half (3-4) of the 10 participants analogously exhibited day-reproducible (≥ three days) spectral modulations at the right frontal beta in response to the valence contrast as well as the frontal central gamma and the superior parietal alpha to the arousal counterpart. In particular, the frontal engagement facilitates a better understanding of the frontal cortex (e.g., dorsolateral prefrontal cortex and anterior cingulate cortex) and its role in intervening emotional processes and expressing spectral signatures that are relatively resistant to natural EEG variability. Such ecologically vivid EEG findings may lead to better understanding of the development of a brain-computer music interface infrastructure capable of guiding the training, performance, and appreciation for emotional improvisatory status or actuating music interaction via emotional context. |
| Published |
New York : Institute of Electrical and Electronics Engineers Inc |
| Type |
Journal article |
| Language |
English |
| Publication date |
2023 |
| CC license |
|
