Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features

This study proposes a novel approach for the analysis of brain responses in the modality of ongoing EEG elicited by the naturalistic and continuous music stimulus. The 512-second long EEG data (recorded with 64 electrodes) are first decomposed into 64 components by independent component analysis (IC...

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Bibliographic Details
Published in:IEEE transactions on multimedia 2013-08, Vol.15 (5), p.1060-1069
Main Authors: Fengyu Cong, Alluri, Vinoo, Nandi, Asoke K., Toiviainen, Petri, Rui Fa, Abu-Jamous, Basel, Liyun Gong, Craenen, Bart G. W., Poikonen, Hanna, Huotilainen, Minna, Ristaniemi, Tapani
Format: Article
Language:English
Subjects:
Acoustical features
Brain
clustering
Educational institutions
EEG
Electrodes
Electroencephalography
Imaging
independent component analysis
Music
natural continuous music
ongoing
oscillation
Oscillators
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Summary:This study proposes a novel approach for the analysis of brain responses in the modality of ongoing EEG elicited by the naturalistic and continuous music stimulus. The 512-second long EEG data (recorded with 64 electrodes) are first decomposed into 64 components by independent component analysis (ICA) for each participant. Then, the spatial maps showing dipolar brain activity are selected in terms of the residual dipole variance through a single dipole model in brain imaging, and clustered into a pre-defined number (estimated by the minimum description length) of clusters. Subsequently, the temporal courses of the EEG theta and alpha oscillations of each component for each cluster are produced and correlated with the temporal courses of tonal and rhythmic features of the music. Using this approach, we found that the extracted temporal courses of the theta and alpha oscillations along central and occipital area of scalp in two of the selected clusters significantly correlated with the musical features representing progressions in the rhythmic content of the stimulus. We suggest that this demonstrates that with the proposed approach, we have managed to discover what kinds of brain responses were elicited when a participant was listening continuously to the long piece of naturalistic music.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2013.2253452