A review on machine learning and deep learning approaches for depressive disorder diagnosis based on EEG and ERP signals
This review delivers a comprehensive analysis of the 69 published articles from 2020 to 2026 that exhibit ML/DL methods for recognizing depression based on EEG and ERP datasets and provides guidance for researchers in this field by pointing out challenges, research gaps, and suggestions for future directions.