Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network

Schizophrenia (ScZ) is a devastating mental disorder of the human brain that causes a serious impact of emotional inclinations, quality of personal and social life and healthcare systems. In recent years, deep learning methods with connectivity analysis only very recently focused into fMRI data. To...

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Veröffentlicht in:	Computers in biology and medicine Jg. 160; S. 107022
Hauptverfasser:	Shen, Mingkan, Wen, Peng, Song, Bo, Li, Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.06.2023 Elsevier Limited
Schlagworte:	3D convolutional neural network Accuracy Alcoholism Algorithms Artificial neural networks Brain - diagnostic imaging Brain mapping Brain research Classification Connectivity analysis Cross mutual information Datasets Deep learning Default mode network Discriminant analysis EEG Electroencephalography Electroencephalography - methods Emotions Functional magnetic resonance imaging Humans Identification Internal Medicine Machine learning Medical research Mental disorders Neural networks Neural Networks, Computer Other Performance evaluation Schizophrenia Schizophrenia - diagnostic imaging ScZ Signal processing Support vector machines Temporal lobe Wavelet transforms Default mode network ScZ Cross mutual information EEG 3D convolutional neural network
ISSN:	0010-4825, 1879-0534, 1879-0534
Online-Zugang:	Volltext
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