TY - JOUR
T1 - From neural activity to behavioral engagement
T2 - temporal dynamics as their “common currency” during music
AU - Chuipka, Noah
AU - Smy, Tom
AU - Northoff, Georg
N1 - Publisher Copyright:
© 2025
PY - 2025/5/15
Y1 - 2025/5/15
N2 - The human cortex is highly dynamic as manifest in its vast ongoing temporal repertoire. Similarly, human behavior is also variable over time with, for instance, fluctuating response times. How the brain's ongoing dynamics relates to the fluctuating dynamics of behavior such as emotions remains yet unclear, though. We measure median frequency (MF) in a dynamic way (D-MF) to investigate the dynamics in both electroencephalography (EEG) neural activity and the subjects’ continuous behavioral assessment of their perceived emotional engagement changes during five different music pieces. Our main findings are: (i) significant differences in the frequency dynamics, e.g., D-MF, of the subjects’ behavioral engagement ratings between the five music pieces, (ii) significant differences in the, e.g., D-MF, of the music pieces’ EEG-based neural activity, and (iii) there is a unidirectional relationship from neural to behavioral during the five music pieces as measured through correlation and Granger causality between their respective D-MF's. Together, we demonstrate that neural dynamics relates to behavioral dynamics through the shared fluctuations in their dynamics. This highlights the key role of dynamics in connecting neural and behavioral activity as their “common currency.”
AB - The human cortex is highly dynamic as manifest in its vast ongoing temporal repertoire. Similarly, human behavior is also variable over time with, for instance, fluctuating response times. How the brain's ongoing dynamics relates to the fluctuating dynamics of behavior such as emotions remains yet unclear, though. We measure median frequency (MF) in a dynamic way (D-MF) to investigate the dynamics in both electroencephalography (EEG) neural activity and the subjects’ continuous behavioral assessment of their perceived emotional engagement changes during five different music pieces. Our main findings are: (i) significant differences in the frequency dynamics, e.g., D-MF, of the subjects’ behavioral engagement ratings between the five music pieces, (ii) significant differences in the, e.g., D-MF, of the music pieces’ EEG-based neural activity, and (iii) there is a unidirectional relationship from neural to behavioral during the five music pieces as measured through correlation and Granger causality between their respective D-MF's. Together, we demonstrate that neural dynamics relates to behavioral dynamics through the shared fluctuations in their dynamics. This highlights the key role of dynamics in connecting neural and behavioral activity as their “common currency.”
KW - Continuous dynamics
KW - EEG
KW - Forecasting
KW - Music
KW - Neurobehavioral relationship
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UR - http://www.scopus.com/inward/citedby.url?scp=105003100859&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2025.121209
DO - 10.1016/j.neuroimage.2025.121209
M3 - Article
AN - SCOPUS:105003100859
SN - 1053-8119
VL - 312
JO - NeuroImage
JF - NeuroImage
M1 - 121209
ER -