Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression
Zhu Y, Wang X, Mathiak K, Toiviainen P, Ristaniemi T, Xu J, Chang Y, Cong F
International journal of neural systems · 11 citas
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Financiación no declaradaSolo mecanismosDatos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.
Cómo se estudió
- Diseño
- Estudio de casos y controles (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Solo mecanismos
Quién lo pagó
- Financiación
- Financiación no declarada
Publicación
- Publicado
- 2020-12-22 · Int J Neural Syst · vol. 31 · número 03 · pág. 2150001
- Editorial
- World Scientific
- Citado
- 18 citas · más que el 74% de estudios similares · 1.0× el promedio de su campo
- Referencias
- 67 trabajos
- Acceso
- Acceso abierto (copia en repositorio) · OTHER-OA
- Áreas de investigación
- Neural dynamics and brain function · Neuroscience and Music Perception · Functional Brain Connectivity Studies
- Palabras clave
- Electroencephalography, Psychology, Magnetoencephalography, Active listening, Independent component analysis, Audiology, Brain activity and meditation, Alpha (finance), Neuroscience, Cognitive psychology, Communication, Artificial intelligence, Medicine, Developmental psychology, Computer science
- MeSH
- brain, humans, electroencephalography, brain mapping, depression, auditory perception, music, major depressive disorder
8 autores
- Yongjie Zhu🇫🇮🇨🇳University of Helsinki; Dalian University of Technology; University of Jyväskylä
- Xiaoyu Wang🇨🇳Dalian University of Technology
- Klaus Mathiak🇩🇪RWTH Aachen University
- Petri Toiviainen🇫🇮University of Jyväskylä
- Tapani Ristaniemi🇫🇮University of Jyväskylä
- Jing Xu🇨🇳Dalian Medical University; First Affiliated Hospital of Dalian Medical University
- Yi Chang🇨🇳Dalian Medical University; First Affiliated Hospital of Dalian Medical University
- Fengyu Cong🇨🇳🇫🇮Dalian University of Technology; University of Jyväskylä
Resumen
El texto original del estudio, en el idioma en que se publicó.
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.
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