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通过个性化脑电图滤波器提取的μ节律与实时相位触发脑电图-经颅磁刺激中的皮质脊髓兴奋性相关。

μ-Rhythm Extracted With Personalized EEG Filters Correlates With Corticospinal Excitability in Real-Time Phase-Triggered EEG-TMS.

作者信息

Schaworonkow Natalie, Caldana Gordon Pedro, Belardinelli Paolo, Ziemann Ulf, Bergmann Til Ole, Zrenner Christoph

机构信息

Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe University, Frankfurt, Germany.

Department of Neurology & Stroke, and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.

出版信息

Front Neurosci. 2018 Dec 13;12:954. doi: 10.3389/fnins.2018.00954. eCollection 2018.

Abstract

Ongoing brain activity has been implicated in the modulation of cortical excitability. The combination of electroencephalography (EEG) and transcranial magnetic stimulation (TMS) in a real-time triggered setup is a novel method for testing hypotheses about the relationship between spontaneous neuronal oscillations, cortical excitability, and synaptic plasticity. For this method, a reliable real-time extraction of the neuronal signal of interest from scalp EEG with high signal-to-noise ratio (SNR) is of crucial importance. Here we compare individually tailored spatial filters as computed by spatial-spectral decomposition (SSD), which maximizes SNR in a frequency band of interest, against established local C3-centered Laplacian filters for the extraction of the sensorimotor μ-rhythm. Single-pulse TMS over the left primary motor cortex was synchronized with the surface positive or negative peak of the respective extracted signal, and motor evoked potentials (MEP) were recorded with electromyography (EMG) of a contralateral hand muscle. Both extraction methods led to a comparable degree of MEP amplitude modulation by phase of the sensorimotor μ-rhythm at the time of stimulation. This could be relevant for targeting other brain regions with no working benchmark such as the local C3-centered Laplacian filter, as sufficient SNR is an important prerequisite for reliable real-time single-trial detection of EEG features.

摘要

持续的大脑活动与皮质兴奋性的调节有关。在实时触发设置中结合脑电图(EEG)和经颅磁刺激(TMS)是一种检验关于自发神经元振荡、皮质兴奋性和突触可塑性之间关系假设的新方法。对于这种方法,从头皮脑电图中以高信噪比(SNR)可靠地实时提取感兴趣的神经元信号至关重要。在这里,我们将通过空间谱分解(SSD)计算的个性化空间滤波器与既定的以C3为中心的局部拉普拉斯滤波器进行比较,前者可在感兴趣的频带中最大化SNR,用于提取感觉运动μ节律。对左侧初级运动皮层进行单脉冲TMS与各自提取信号的表面正峰或负峰同步,并通过对侧手部肌肉的肌电图(EMG)记录运动诱发电位(MEP)。两种提取方法在刺激时均导致MEP幅度受感觉运动μ节律相位调制的程度相当。这对于针对没有有效基准的其他脑区(如以C3为中心的局部拉普拉斯滤波器)可能具有重要意义,因为足够的SNR是可靠实时单试验检测EEG特征的重要前提。

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