Abstract
Background: Clinical response to repetitive transcranial magnetic stimulation (rTMS) is limited to about 50% of patients and given that it is an expensive and prolonged treatment in which to engage, predicting who is likely to respond to treatment would have considerable clinical and pragmatic benefits. However, although there are relationships with clinical and demographic variables, none of these relationships are sufficiently strong to be of clinical value. For this reason we have investigated the role of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) based predictors of response to treatment.
Published Version
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