Department of Medical and Surgical Sciences, Magna Greacia University of Catanzaro, 88100 Catanzaro, Italy.
College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh EH16 4TJ, UK.
Sensors (Basel). 2021 Jan 18;21(2):637. doi: 10.3390/s21020637.
Transcranial magnetic stimulation (TMS) excites neurons in the cortex, and neural activity can be simultaneously recorded using electroencephalography (EEG). However, TMS-evoked EEG potentials (TEPs) do not only reflect transcranial neural stimulation as they can be contaminated by artifacts. Over the last two decades, significant developments in EEG amplifiers, TMS-compatible technology, customized hardware and open source software have enabled researchers to develop approaches which can substantially reduce TMS-induced artifacts. In TMS-EEG experiments, various physiological and external occurrences have been identified and attempts have been made to minimize or remove them using online techniques. Despite these advances, technological issues and methodological constraints prevent straightforward recordings of early TEPs components. To the best of our knowledge, there is no review on both TMS-EEG artifacts and EEG technologies in the literature to-date. Our survey aims to provide an overview of research studies in this field over the last 40 years. We review TMS-EEG artifacts, their sources and their waveforms and present the state-of-the-art in EEG technologies and front-end characteristics. We also propose a synchronization toolbox for TMS-EEG laboratories. We then review subject preparation frameworks and online artifacts reduction maneuvers for improving data acquisition and conclude by outlining open challenges and future research directions in the field.
经颅磁刺激(TMS)可兴奋皮层神经元,同时可使用脑电图(EEG)对神经活动进行同步记录。然而,TMS 诱发电位(TEP)不仅反映了经颅神经刺激,因为它们可能会受到伪迹的污染。在过去的二十年中,脑电图放大器、与 TMS 兼容的技术、定制硬件和开源软件的显著发展使研究人员能够开发出能够大大减少 TMS 诱导伪迹的方法。在 TMS-EEG 实验中,已经确定了各种生理和外部事件,并尝试使用在线技术最小化或消除它们。尽管取得了这些进展,但技术问题和方法学限制阻碍了早期 TEP 成分的直接记录。据我们所知,迄今为止,文献中尚无关于 TMS-EEG 伪迹和 EEG 技术的综述。我们的调查旨在概述过去 40 年来该领域的研究工作。我们回顾了 TMS-EEG 伪迹、它们的来源及其波形,并介绍了 EEG 技术和前端特性的最新进展。我们还为 TMS-EEG 实验室提出了一个同步工具包。然后,我们回顾了用于改善数据采集的受试者准备框架和在线伪迹减少操作,并概述了该领域的开放挑战和未来研究方向。