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

•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 further research on interpretable features.•Potential of deep neural networks for accurate neuropsychiatric disorder diagnosis using EEG signals.