Gwin Joseph T, Ferris Daniel P
Human Neuromechanics Laboratory, School of Kinesiology, University of Michigan Ann Arbor, MI, USA.
Front Hum Neurosci. 2012 Sep 11;6:258. doi: 10.3389/fnhum.2012.00258. eCollection 2012.
Coherence between electroencephalography (EEG) recorded on the scalp above the motor cortex and electromyography (EMG) recorded on the skin of the limbs is thought to reflect corticospinal coupling between motor cortex and muscle motor units. Beta-range (13-30 Hz) corticomuscular coherence has been extensively documented during static force output while gamma-range (31-45 Hz) coherence has been linked to dynamic force output. However, the explanation for this beta-to-gamma coherence shift remains unclear. We recorded 264-channel EEG and 8-channel lower limb EMG while eight healthy subjects performed isometric and isotonic, knee, and ankle exercises. Adaptive mixture independent component analysis (AMICA) parsed EEG into models of underlying source signals. We computed magnitude squared coherence between electrocortical source signals and EMG. Significant coherence between contralateral motor cortex electrocortical signals and lower limb EMG was observed in the beta- and gamma-range for all exercise types. Gamma-range coherence was significantly greater for isotonic exercises than for isometric exercises. We conclude that active muscle movement modulates the speed of corticospinal oscillations. Specifically, isotonic contractions shift corticospinal oscillations toward the gamma-range while isometric contractions favor beta-range oscillations. Prior research has suggested that tasks requiring increased integration of visual and somatosensory information may shift corticomuscular coherence to the gamma-range. The isometric and isotonic tasks studied here likely required similar amounts of visual and somatosensory integration. This suggests that muscle dynamics, including the amount and type of proprioception, may play a role in the beta-to-gamma shift.
运动皮层上方头皮记录的脑电图(EEG)与肢体皮肤记录的肌电图(EMG)之间的一致性被认为反映了运动皮层与肌肉运动单位之间的皮质脊髓耦合。在静态力输出期间,β频段(13 - 30赫兹)的皮质肌肉一致性已得到广泛记录,而γ频段(31 - 45赫兹)的一致性则与动态力输出有关。然而,这种β到γ一致性转变的解释仍不清楚。我们记录了264通道脑电图和8通道下肢肌电图,同时八名健康受试者进行等长和等张的膝盖及脚踝运动。自适应混合独立成分分析(AMICA)将脑电图解析为潜在源信号模型。我们计算了电皮层源信号与肌电图之间的幅度平方相干性。在所有运动类型的β和γ频段中,均观察到对侧运动皮层电皮层信号与下肢肌电图之间存在显著的一致性。等张运动的γ频段一致性显著高于等长运动。我们得出结论,主动肌肉运动调节皮质脊髓振荡的速度。具体而言,等张收缩使皮质脊髓振荡向γ频段转变,而等长收缩则有利于β频段振荡。先前的研究表明,需要增加视觉和体感信息整合的任务可能会将皮质肌肉一致性转变为γ频段。这里研究的等长和等张任务可能需要相似数量的视觉和体感整合。这表明肌肉动力学,包括本体感觉的数量和类型,可能在β到γ的转变中起作用。