Shared and Unshared Feature Extraction in Major Depression During Music Listening Using Constrained Tensor Factorization

Shared and Unshared Feature Extraction in Major Depression During Music Listening Using Constrained Tensor Factorization

Ongoing electroencephalography (EEG) signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected to have common or highly correlated brain acti...

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Bibliographic Details
Main Authors: Chang, Y. (Author), Cong, F. (Author), Liu, W. (Author), Mu, Z. (Author), Wang, X. (Author), Wu, J. (Author), Xu, J. (Author), Zhang, Q. (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
adult
algorithm
Article
auditory stimulation
brain function
CANDECOMP/PARAFAC
clinical article
clinical feature
constrained tensor factorization
controlled study
correlation analysis
data processing
EEG
electroencephalogram
female
hearing
human
major depression
major depressive disorder
male
music
naturalistic music stimuli
oscillation
patient participation
simulation
spatiotemporal analysis
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