Mima T, Hallett M
Human Motor Control Section, Medical Neurology Branch, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda 20892-1428, Maryland, USA.
J Clin Neurophysiol. 1999 Nov;16(6):501-11. doi: 10.1097/00004691-199911000-00002.
Corticomuscular coherence measured between electroencephalography (EEG), magnetoencephalography, or local field potentials and electromyography (EMG) should be helpful in understanding the cortical control of movement. EEG-EMG coherence and phase spectra depend on the types of EEG derivation and current source density function of EEG appears to be the most appropriate for computation of EEG-EMG coherence. A new model for the interpretation of the phase spectra ("constant phase shift plus constant time lag model") shows that cortical surface negative potentials are phase-locked to EMG firing. There are functional differences of EEG-EMG coherence among the alpha, beta, and gamma bands suggesting differences in their possible generator mechanisms. Since corticomuscular coherence is a noninvasive measure of corticomotoneuronal function in a specific frequency range, clinical application of this method might be very fruitful in tremor research.
在脑电图（EEG）、脑磁图或局部场电位与肌电图（EMG）之间测量的皮质-肌肉相干性，应有助于理解运动的皮质控制。EEG-EMG相干性和相位谱取决于EEG的推导类型，而EEG的电流源密度函数似乎最适合用于计算EEG-EMG相干性。一种用于解释相位谱的新模型（“恒定相移加恒定时间延迟模型”）表明，皮质表面负电位与EMG放电锁相。在α、β和γ频段之间，EEG-EMG相干性存在功能差异，这表明它们可能的产生机制存在差异。由于皮质-肌肉相干性是特定频率范围内皮质运动神经元功能的一种非侵入性测量方法，该方法在震颤研究中的临床应用可能会非常有成效。
