Predicting rTMS treatment response in depression: use of machine learning models to identify the roles of metabolic and clinical factors.
Journal:
Journal of affective disorders
Published Date:
May 28, 2025
Abstract
BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for depression in patients with major depressive disorder (MDD) and bipolar disorder (BD), but accurate prediction of treatment response remains a challenge. This study aims to identify key metabolic and clinical factors that serve as predictors of rTMS efficacy in patients with MDD and BD.
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