Academic Unit of Clinical Neurophysiology, King's College Hospital, Denmark Hill, London SE5 9RS, UK.
J Neurosci Methods. 2012 Mar 30;205(1):190-201. doi: 10.1016/j.jneumeth.2011.11.001. Epub 2011 Nov 17.
Corticomuscular coherence (CMC) estimation is a frequency domain method used to detect a linear coupling between rhythmic activity recorded from sensorimotor cortex (EEG or MEG) and the electromyogram (EMG) of active muscles. In motor neuroscience, rectification of the surface EMG is a common pre-processing step prior to calculating CMC, intended to maximize information about action potential timing, whilst suppressing information relating to motor unit action potential (MUAP) shape. Rectification is believed to produce a general shift in the EMG spectrum towards lower frequencies, including those around the mean motor unit discharge rate. However, there are no published data to support the claim that EMG rectification enhances the detection of CMC. Furthermore, performing coherence analysis after the non-linear procedure of rectification, which results in a significant distortion of the EMG spectrum, is considered fundamentally flawed in engineering and digital signal processing. We calculated CMC between sensorimotor cortex EEG and EMG of two hand muscles during a key grip task in 14 healthy subjects. CMC calculated using unrectified and rectified EMG was compared. The use of rectified EMG did not enhance the detection of CMC, nor was there any evidence that MUAP shape information had an adverse effect on the CMC estimation. EMG rectification had inconsistent effects on the power and coherence spectra and obscured the detection of CMC in some cases. We also provide a comprehensive theoretical analysis, which, along with our empirical data, demonstrates that rectification is neither necessary nor appropriate in the calculation of CMC.
皮质肌电相干性(CMC)估计是一种频域方法,用于检测感觉运动皮层(EEG 或 MEG)记录的节律活动与主动肌肉的肌电图(EMG)之间的线性耦合。在运动神经科学中,在计算 CMC 之前,对表面 EMG 进行整流是一种常见的预处理步骤,旨在最大限度地提高关于动作电位定时的信息,同时抑制与运动单位动作电位(MUAP)形状有关的信息。整流被认为会使 EMG 频谱向较低频率(包括平均运动单位放电率周围的频率)普遍转移。然而,没有发表的数据支持 EMG 整流增强 CMC 检测的说法。此外,在整流导致 EMG 频谱发生重大失真的非线性过程之后进行相干性分析,在工程和数字信号处理中被认为是有根本缺陷的。我们在 14 名健康受试者进行关键握力任务期间,计算了感觉运动皮层 EEG 和两个手部肌肉的 EMG 之间的 CMC。比较了使用未整流和整流 EMG 计算的 CMC。使用整流 EMG 并没有增强 CMC 的检测,也没有证据表明 MUAP 形状信息对 CMC 估计有不利影响。EMG 整流对功率和相干谱的影响不一致,并且在某些情况下掩盖了 CMC 的检测。我们还提供了全面的理论分析,该分析以及我们的经验数据表明,在 CMC 的计算中,整流既不必要也不合适。