de Vries Ingmar E J, Daffertshofer Andreas, Stegeman Dick F, Boonstra Tjeerd W
Faculty of Behavioural and Movement Sciences, VU University, Amsterdam, The Netherlands.
Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands.
J Neurophysiol. 2016 Dec 1;116(6):2576-2585. doi: 10.1152/jn.00460.2016. Epub 2016 Sep 14.
Neural synchrony has been suggested as a mechanism for integrating distributed sensorimotor systems involved in coordinated movement. To test the role of corticomuscular and intermuscular coherence in bimanual coordination, we experimentally manipulated the degree of coordination between hand muscles by varying the sensitivity of the visual feedback to differences in bilateral force. In 16 healthy participants, cortical activity was measured using EEG and muscle activity of the flexor pollicis brevis of both hands using high-density electromyography (HDsEMG). Using the uncontrolled manifold framework, coordination between bilateral forces was quantified by the synergy index R in the time and frequency domain. Functional connectivity was assessed using corticomuscular coherence between muscle activity and cortical source activity and intermuscular coherence between bilateral EMG activity. The synergy index increased in the high coordination condition. R was higher in the high coordination condition in frequencies between 0 and 0.5 Hz; for the 0.5- to 2-Hz frequency band, this pattern was inverted. Corticomuscular coherence in the beta band (16-30 Hz) was maximal in the contralateral motor cortex and was reduced in the high coordination condition. In contrast, intermuscular coherence was observed at 5-12 Hz and increased with bimanual coordination. Within-subject comparisons revealed a negative correlation between R and corticomuscular coherence and a positive correlation between R and intermuscular coherence. Our findings suggest two distinct neural pathways: 1) corticomuscular coherence reflects direct corticospinal projections involved in controlling individual muscles; and 2) intermuscular coherence reflects diverging pathways involved in the coordination of multiple muscles.
神经同步被认为是一种整合参与协调运动的分布式感觉运动系统的机制。为了测试皮质肌肉和肌肉间连贯性在双手协调中的作用,我们通过改变视觉反馈对双侧力量差异的敏感度,对手部肌肉之间的协调程度进行了实验性操纵。在16名健康参与者中,使用脑电图(EEG)测量皮质活动,并使用高密度肌电图(HDsEMG)测量双手拇短屈肌的肌肉活动。使用非受控流形框架,通过时间和频域中的协同指数R来量化双侧力量之间的协调性。使用肌肉活动与皮质源活动之间的皮质肌肉连贯性以及双侧肌电图活动之间的肌肉间连贯性来评估功能连接性。在高协调条件下,协同指数增加。在0至0.5赫兹的频率范围内,高协调条件下的R更高;对于0.5至2赫兹的频段,这种模式则相反。β波段(16至30赫兹)的皮质肌肉连贯性在对侧运动皮层中最大,在高协调条件下降低。相比之下,在5至12赫兹观察到肌肉间连贯性,并且随着双手协调而增加。受试者内比较显示,R与皮质肌肉连贯性之间呈负相关,R与肌肉间连贯性之间呈正相关。我们的研究结果表明存在两条不同的神经通路:1)皮质肌肉连贯性反映参与控制单个肌肉的直接皮质脊髓投射;2)肌肉间连贯性反映参与多块肌肉协调的发散通路。