Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
-
Randomized Controlled Trial
A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder.
The problem of identifying, in advance, the most effective treatment agent for various psychiatric conditions remains an elusive goal. To address this challenge, we investigate the performance of the proposed machine learning (ML) methodology (based on the pre-treatment electroencephalogram (EEG)) for prediction of response to treatment with a selective serotonin reuptake inhibitor (SSRI) medication in subjects suffering from major depressive disorder (MDD). ⋯ The proposed approach offers the potential to improve the treatment of major depression and to reduce health care costs.