Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression

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Zhu , Y , Wang , X , Mathiak , K , Toiviainen , P , Ristaniemi , T , Xu , J , Chang , Y & Cong , F 2021 , ' Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression ' , International Journal of Neural Systems , vol. 31 , no. 3 , 2150001 .

Title: Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression
Author: Zhu, Yongjie; Wang, Xiaoyu; Mathiak, Klaus; Toiviainen, Petri; Ristaniemi, Tapani; Xu, Jing; Chang, Yi; Cong, Fengyu
Contributor organization: Department of Computer Science
Date: 2021-03
Language: eng
Number of pages: 14
Belongs to series: International Journal of Neural Systems
ISSN: 0129-0657
Abstract: To examine the electrophysiological underpinnings of the functional networks involved in music listening, previous approaches based on spatial independent component analysis (ICA) have recently been used to ongoing electroencephalography (EEG) and magnetoencephalography (MEG). However, those studies focused on healthy subjects, and failed to examine the group-level comparisons during music listening. Here, we combined group-level spatial Fourier ICA with acoustic feature extraction, to enable group comparisons in frequency-specific brain networks of musical feature processing. It was then applied to healthy subjects and subjects with major depressive disorder (MDD). The music-induced oscillatory brain patterns were determined by permutation correlation analysis between individual time courses of Fourier-ICA components and musical features. We found that (1) three components, including a beta sensorimotor network, a beta auditory network and an alpha medial visual network, were involved in music processing among most healthy subjects; and that (2) one alpha lateral component located in the left angular gyrus was engaged in music perception in most individuals with MDD. The proposed method allowed the statistical group comparison, and we found that: (1) the alpha lateral component was activated more strongly in healthy subjects than in the MDD individuals, and that (2) the derived frequency-dependent networks of musical feature processing seemed to be altered in MDD participants compared to healthy subjects. The proposed pipeline appears to be valuable for studying disrupted brain oscillations in psychiatric disorders during naturalistic paradigms.
Subject: Major depressive disorder
naturalistic music listening
ongoing EEG
independent component analysis
brain networks
neural oscillations
3112 Neurosciences
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: acceptedVersion

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