Using deep learning to decode abnormal brain neural activity in MDD from single-trial EEG signals

Objectives The application of electroencephalography (EEG) to the study of major depressive disorder (MDD) is a common approach. However, there is no one-to-one correspondence between EEG and brain neural activity, and it is unclear whether single-trial EEG signals detect the cognitive neural activi...

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Bibliographic Details

Published in:	Brain-Apparatus Communication
Main Authors:	Mengmeng Liu, Jianling Tan, Yuhao Jiang, Yin Tian
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2022-12-01
Subjects:	eeg deep learning mdd neural activity saliency map
Online Access:	http://dx.doi.org/10.1080/27706710.2022.2075242