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Treatment selection in psychiatry remains a trial-and-error process, and this long-standing clinical challenge has prompted an increasing focus on predictive models of treatment response using machine learning techniques
Recently, some scholars conducted a meta-analysis by searching PubMed, Scopus, and Web of Science for articles published between January 1960 and February 2022, respectively, to determine the ability of using EEG to distinguish treatment responders and non-responders.
The study included 15 studies that used machine learning techniques to predict treatment response in patients with major depressive disorder
In a subgroup analysis, there was greater performance in predicting response to transcranial magnetic stimulation (ensemble accuracy: 81.
Taken together, machine learning can accurately predict treatment response for major depressive disorder using EEG
references:
Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis.
