Importance Although neuroimaging research has made substantial progress in identifying
the large-scale neural substrate of anxiety disorders, its value for clinical application lags
behind expectations. Machine-learning approaches have predictive potential for individual-
patient prognostic purposes and might thus aid translational efforts in psychiatric research.
Objective To predict treatment response to cognitive behavioral therapy (CBT) on an
individual-patient level based on functional magnetic resonance imaging data in patients …