EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions

• Published in: Computer methods and programs in biomedicine Vol. 240; p. 107683
• Main Authors: Parsa, Mohsen, Rad, Habib Yousefi, Vaezi, Hadi, Hossein-Zadeh, Gholam-Ali, Setarehdan, Seyed Kamaledin, Rostami, Reza, Rostami, Hana, Vahabie, Abdol-Hossein
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.10.2023
• Subjects: Algorithms; Brain activity; Conventional neural network; Deep learning; Electroencephalography; Electroencephalography - methods; Humans; Neural network; Neural Networks, Computer; Neuro-markers; Recurrent neural network; Deep learning; Neuro-markers; Recurrent neural network; Brain activity; Conventional neural network; Electroencephalography; Neural network

•Comprehensive review of deep learning studies using EEG signals for neuropsychiatric disorder classification.•Analysis of factors impacting classification performance and guidelines for EEG-based diagnostic tool design.•Emphasis on EEG feature extraction for improved classification and need for fur...