重复经颅磁刺激(rTMS)是治疗抑郁症的常用疗法。然而，由于现有rTMS疗法无明确的脑活动靶点，与预期相比缓解率仍偏低，限制了其在临床的进一步应用以及接受度。针对该问题，本项目将以我们前期在同步单脉冲经颅磁刺激-脑电(spTMS-EEG)数据中发现的P200电位神经标记物为靶点，优化rTMS刺激参数，从而实现对抑郁症的精准治疗。为达成该目标，本项目的研究内容包括：1）针对临床应用研发spTMS-EEG数据的全自动分析方法；2）研发基于P200电位的刺激个体优化方法；3）针对临床应用全自动优化P200电位并跟踪P200电位的变化；4）临床验证所提出的刺激个体优化精准治疗方法。本项目的成功实施将：1）显著提升抑郁症的rTMS治疗疗效，并为未来深入探索rTMS精准化治疗方法提供概念框架；2）实现spTMS-EEG数据的全自动分析，推动spTMS-EEG作为新型介入式影像学工具在临床中的转化。

Repetitive transcranial magnetic stimulation (rTMS) is a popular therapy for treating depression. However, the remission rate of the existing rTMS treatment is lower than anticipated due to the lack of biomarkers, limiting its further applications and acceptance in clinical settings. To address this issue, this project will optimize the stimulation parameters of the rTMS based on the P200 potential biomarker discovered in the spTMS-EEG data as the treatment target, thereby achieving precision treatment of the depression. To this aim, the following lines of research will be conducted: 1) Develop a fully automated analysis method for the spTMS-EEG data for clinical applications; 2) Develop a individualized stimulation optimization method based on the P200 potential; 3) Automatically optimize and track the P200 potential for clinical.settings; 4) Validate the individualized stimulation optimization method in clinical settings. The successful execution of this project is expected to 1) substantially improve the treatment efficiency of the rTMS for depression, provide a conceptual framework for exploring future precision treatment using rTMS; 2) achieve fully automated analysis of the spTMS-EEG data, and promote the translation of spTMS-EEG, which is a novel interventional neuroimaging tool, to clinical settings.