Nakamura Motoaki
Kanagawa Psychiatric Center.
Brain Nerve. 2017 Mar;69(3):247-256. doi: 10.11477/mf.1416200734.
The neurobiological mechanisms that regulate the therapeutic effects of repetitive transcranial magnetic stimulation (rTMS) remain unknown to date. An optimized rTMS protocol has not been established, partly due to the wide variability in its aftereffects among individuals who have undergone the treatment. Responder rates to rTMS for treating major depression have been reported to be modest (30 to 40 percent). Thus, optimization and personalization of an rTMS protocol is required for better treatment outcomes. To this end, it is necessary to identify brain biomarkers for predicting responsiveness to rTMS treatment and the aftereffects and for personalizing rTMS. In this review, we introduced potential biomarkers of rTMS response for treating major depression by employing two modalities of resting-state functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) from a perspective of neural network dynamics.
迄今为止，调节重复经颅磁刺激（rTMS）治疗效果的神经生物学机制仍不明确。尚未建立优化的rTMS方案，部分原因是接受该治疗的个体其后续效应存在很大差异。据报道，rTMS治疗重度抑郁症的有效率一般（30%至40%）。因此，为了获得更好的治疗效果，需要对rTMS方案进行优化和个性化。为此，有必要识别脑生物标志物，以预测对rTMS治疗的反应性和后续效应，并实现rTMS的个性化。在本综述中，我们从神经网络动力学的角度，采用静息态功能磁共振成像（fMRI）和脑电图（EEG）这两种模式，介绍了rTMS治疗重度抑郁症反应的潜在生物标志物。
