A1 Journal article (refereed)
Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression (2021)

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, 31(3), Article 2150001. https://doi.org/10.1142/S0129065721500015

JYU authors or editors

Publication details

All authors or editors: Zhu, Yongjie; Wang, Xiaoyu; Mathiak, Klaus; Toiviainen, Petri; Ristaniemi, Tapani; Xu, Jing; Chang, Yi; Cong, Fengyu

Journal or series: International Journal of Neural Systems

ISSN: 0129-0657

eISSN: 1793-6462

Publication year: 2021

Volume: 31

Issue number: 3

Article number: 2150001

Publisher: World Scientific

Publication country: Singapore

Publication language: English

DOI: https://doi.org/10.1142/S0129065721500015

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/73577

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.

Keywords: depression (mental disorders); music; music psychology; neural networks (biology); EEG; signal analysis; signal processing

Free keywords: major depressive disorder; naturalistic music listening; ongoing EEG; independent component analysis; brain networks; neural oscillations

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2021

JUFO rating: 1