Koç University School of Medicine, Istanbul, Turkey.
J Neural Eng. 2019 Oct 30;16(6):066029. doi: 10.1088/1741-2552/ab3235.
In order to reach electroencephalography (EEG) electrodes on the scalp, synchronized activity of neurons needs to pass thorough several tissue layers, including the skull and muscles covering the scalp. The contamination of EEG signal by temporalis and frontalis muscles has been well documented for voluntary muscle contraction even at low contraction levels. The extent of myogenic contamination during postural and/or rest activity of the temporalis and frontalis remains an impediment for EEG research.
In this study, we first aimed to observe involuntary, continuous motor unit activity of the frontalis muscle at rest and evaluate motor unit level frontalis interference on the EEG electrodes. Second, we compared motor unit interference from the frontalis before and after artefact pruning via an independent component analysis (ICA) algorithm.
We demonstrated that motor unit activity of the frontalis muscle produces interference potentials on the frontal electrodes at rest and the interference was significantly reduced after ICA on the frontal electrodes, but not completely eliminated. Likewise, the temporalis interference at rest was significantly smaller after ICA on the fronto-temporal electrodes, but not completely removed.
We documented the existence of resting involuntary activity of the temporalis and frontalis muscles underneath EEG electrodes and the removal of the EEG signal from their contiguous interference is not possible even after the use of ICA technology. We recommend that EEG researchers readdress the definition of 'rest' for EEG recordings and the ICA experts should extend their electromyography removal strategies to motor unit level interference.
为了到达头皮上的脑电图(EEG)电极,神经元的同步活动需要穿过包括颅骨和头皮覆盖的肌肉在内的几个组织层。即使在低收缩水平下,主动肌肉收缩也会使颞肌和额肌的 EEG 信号受到污染。在颞肌和额肌的姿势和/或休息活动期间,肌源性污染的程度仍然是 EEG 研究的一个障碍。
在这项研究中,我们首先旨在观察额肌在休息时的无意识、连续运动单位活动,并评估运动单位水平对 EEG 电极的额肌干扰。其次,我们比较了通过独立成分分析(ICA)算法在前额电极上进行伪迹剔除前后额肌运动单元干扰。
我们证明了额肌的运动单位活动在休息时会在前额电极上产生干扰电位,并且在对前额电极进行 ICA 后,干扰明显降低,但并未完全消除。同样,在对额颞电极进行 ICA 后,颞肌在休息时的干扰明显减小,但并未完全消除。
我们记录了 EEG 电极下颞肌和额肌在休息时存在无意识活动,即使使用 ICA 技术,也无法从其相邻干扰中去除 EEG 信号。我们建议 EEG 研究人员重新定义 EEG 记录的“休息”,而 ICA 专家应将他们的肌电图去除策略扩展到运动单元水平的干扰。