Abstract
Personalizing depression treatment through brain-based biomarkers has the potential to improve treatment outcomes for patients. Efforts aimed at identifying electroencephalographic (EEG) characteristics associated with antidepressant treatment response typically use group level analyses. We used single-subject EEG analyses to investigate how well such group findings translate to individual patients.
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