用于脑状态控制研究和精准治疗的实时 TMS-EEG 综述和指南。

Miles Wischnewski, Sina Shirinpour, Ivan Alekseichuk, Maria I Lapid, Ziad Nahas, Kelvin O Lim, Paul E Croarkin, Alexander Opitz
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引用次数: 0

摘要

经颅磁刺激(TMS)可调节神经元活动,但由于大脑状态的动态性,开环方法的功效有限。与脑电图(EEG)的实时整合提高了实验的可靠性,并通过使用即时脑状态作为生物标记提供了个性化的神经调节疗法。在此,我们回顾了自几年前首次发表以来的脑状态控制 TMS-EEG 研究。对感觉运动μ节律(8-13 Hz)的实验总结显示,在振荡的低谷,TMS 脉冲会增加大脑皮层的兴奋性,而在振荡的峰值,兴奋性会降低。TMS脉冲前的μ功率也会影响兴奋性。此外,越来越多的证据表明,θ 和 β 频段的振荡相位会调节神经兴奋性。在此,我们将为 TMS-EEG 的实时应用提供指导,并讨论实验和技术方面的注意事项。我们考虑了硬件选择、信号质量、空间和时间滤波以及目标大脑振荡的神经特征的影响。最后,我们推测闭环 TMS-EEG 有可能改善抑郁症、阿尔茨海默氏症、帕金森氏症、精神分裂症和中风等神经和精神疾病的治疗。
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Real-time TMS-EEG for brain state-controlled research and precision treatment: a narrative review and guide.

Transcranial magnetic stimulation (TMS) modulates neuronal activity, but the efficacy of an open-loop approach is limited due to the brain state's dynamic nature. Real-time integration with electroencephalography (EEG) increases experimental reliability and offers personalized neuromodulation therapy by using immediate brain states as biomarkers. Here, we review brain state-controlled TMS-EEG studies since the first publication several years ago. A summary of experiments on the sensorimotor mu rhythm (8-13 Hz) shows increased cortical excitability due to TMS pulse at the trough and decreased excitability at the peak of the oscillation. Pre-TMS pulse mu power also affects excitability. Further, there is emerging evidence that the oscillation phase in theta and beta frequency bands modulates neural excitability. Here, we provide a guide for real-time TMS-EEG application and discuss experimental and technical considerations. We consider the effects of hardware choice, signal quality, spatial and temporal filtering, and neural characteristics of the targeted brain oscillation. Finally, we speculate on how closed-loop TMS-EEG potentially could improve the treatment of neurological and mental disorders such as depression, Alzheimer's, Parkinson's, schizophrenia, and stroke.

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