Repetitive Transcranial Magnetic Stimulation (rTMS), as a relatively mature non-invasive neuromodulation technology, has been recommended for the treatment of patients with refractory OCD in multinational guidelines. However, due to the treatment setting and the patient's feature, nearly half of the patients have no significant changes after rTMS treatment.~In order to better predict the outcome of rTMS and improve the treatment efficiency, this project intends to look for markers that have a predictive effect at baseline or early treatment. Electroencephalogram (EEG) is a cheap and fast method that usually occurs before the symptoms change, thus it is possible to determine whether the patient has responded to the intervention.~In this project, the supplementary motor area (SMA) is selected as the stimulation target. The individual head magnetic resonance image positioning and navigation and rTMS compatible real-time EEG acquisition technology are used to monitor the resting state of EEG and rTMS single pulse stimulation and changes in neural networks before and after treatment. This is a preliminary exploration looking for effective predictive indicators of efficacy in EEG and the relationship between EEG and symptoms changes. In order to lay the foundation for further research and guide clinical treatment.
This study used electroencephalogram (EEG) to predict the efficacy of repetitive transcranial magnetic stimulation (rTMS) in patients with obsessive-compulsive disorder.