Intermuscular coherence reflects functional coordination
Intermuscular coherence reflects functional coordination
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DOI：
10.1152/jn.00204.2017
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发表时间：
2017-09-01
影响因子：
2.5
通讯作者：
Valero-Cuevas, Francisco J.
中科院分区：
文献类型：
--
作者：
Laine, Christopher M.;Valero-Cuevas, Francisco J.
相干分析能够识别运动单位池共享的共同下行驱动的存在，并揭示其频谱特性。然而，共享神经驱动的光谱特性与肌肉之间的功能相互作用之间的联系仍不清楚。我们评估了拇指和食指肌肉之间共享的神经驱动力，同时参与者执行了两项机械上不同的精确捏合任务，每项任务都需要肌肉之间不同的功能协调。我们发现，在感兴趣的特定频率(类似于10和类似于40赫兹)下，共享神经驱动被系统性地减少或增强。虽然表面肌电信号之间的幅度相关性也显示出不同任务之间的变化，但只有它们的一致性具有强烈的生理基础，表明神经绑定。我们的结果支持使用肌肉间连贯性作为一种工具来检测何时共激活的肌肉是神经起源的功能群或协同作用的成员。此外，我们的结果表明，考虑神经绑定在10，类似于20，和>；30赫兹，作为任务依赖的神经协调策略的指示器的优势。新和值得注意的是，肌肉之间的相关活动通常不清楚是反映了他们的神经绑定，还是仅仅反映了定义任务的约束。利用EMG信号之间的高频相干性(>；6 Hz)被认为反映了共享的神经驱动这一事实，我们证明了相干性分析可以揭示不同任务所需的不同肌肉协调模式的神经起源。
Coherence analysis has the ability to identify the presence of common descending drive shared by motor unit pools and reveals its spectral properties. However, the link between spectral properties of shared neural drive and functional interactions among muscles remains unclear. We assessed shared neural drive between muscles of the thumb and index finger while participants executed two mechanically distinct precision pinch tasks, each requiring distinct functional coordination among muscles. We found that shared neural drive was systematically reduced or enhanced at specific frequencies of interest (similar to 10 and similar to 40 Hz). While amplitude correlations between surface EMG signals also exhibited changes across tasks, only their coherence has strong physiological underpinnings indicative of neural binding. Our results support the use of intermuscular coherence as a tool to detect when coactivated muscles are members of a functional group or synergy of neural origin. Furthermore, our results demonstrate the advantages of considering neural binding at 10, similar to 20, and > 30 Hz, as indicators of task-dependent neural coordination strategies.NEW & NOTEWORTHY It is often unclear whether correlated activity among muscles reflects their neural binding or simply reflects the constraints defining the task. Using the fact that high-frequency coherence between EMG signals (> 6 Hz) is thought to reflect shared neural drive, we demonstrate that coherence analysis can reveal the neural origin of distinct muscle coordination patterns required by different tasks.