Prediction of response to repetitive transcranial magnetic stimulation in phantom sounds based on individual brain anatomy.

ABSTRACT: Non-invasive brain stimulation can reduce the severity of tinnitus phantom sounds beyond the time of stimulation by inducing regional neuroplastic changes. However, there are no good clinical predictors for treatment outcome. We used machine learning to investigate whether brain anatomy can predict therapeutic outcome. Sixty-one chronic tinnitus patients received repetitive transcranial magnetic stimulation of left dorsolateral prefrontal and temporal cortex. Before repetitive transcranial magnetic stimulation, a structural magnetic resonance image was obtained from all patients. To predict individual treatment response in new subjects, we employed a support vector machine ensemble for individual out-of-sample prediction. In the cross-validation, the support vector machine ensemble based o

SUBMITTER: Poeppl TB 

PROVIDER: S-EPMC8361389 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature