Magnetic resonance imaging for individual prediction of treatment response in major depressive disorder: a systematic review and meta-analysis.

ABSTRACT: No tools are currently available to predict whether a patient suffering from major depressive disorder (MDD) will respond to a certain treatment. Machine learning analysis of magnetic resonance imaging (MRI) data has shown potential in predicting response for individual patients, which may enable personalized treatment decisions and increase treatment efficacy. Here, we evaluated the accuracy of MRI-guided response prediction in MDD. We conducted a systematic review and meta-analysis of all studies using MRI to predict single-subject response to antidepressant treatment in patients with MDD. Classification performance was calculated using a bivariate model and expressed as area under the curve, sensitivity, and specificity. In addition, we analyzed differences in classification performance

SUBMITTER: Cohen SE 

PROVIDER: S-EPMC7960732 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature