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首页> 外文期刊>Journal of Neurophysiology >Sequential activation of muscle synergies during locomotion in the intact cat as revealed by cluster analysis and direct decomposition.
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Sequential activation of muscle synergies during locomotion in the intact cat as revealed by cluster analysis and direct decomposition.

机译：聚类分析和直接分解表明，完整猫的运动过程中肌肉协同作用的顺序激活。

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During goal-directed locomotion, descending signals from supraspinal structures act through spinal interneuron pathways to effect modifications of muscle activity that are appropriate to the task requirements. Recent studies using decomposition methods suggest that this control might be facilitated by activating synergies organized at the level of the spinal cord. However, it is difficult to directly relate these mathematically defined synergies to the patterns of electromyographic activity observed in the original recordings. To address this issue, we have used a novel cluster analysis to make a detailed study of the organization of the synergistic patterns of muscle activity observed in the fore- and hindlimb during treadmill locomotion. The results show that the activity of a large number of forelimb muscles (26 bursts of activity from 18 muscles) can be grouped into 11 clusters on the basis of synchronous co-activation. Nine (9/11) of these clusters defined muscle activity during the swing phase oflocomotion; these clusters were distributed in a sequential manner and were related to discrete behavioral events. A comparison with the synergies identified by linear decomposition methods showed some striking similarities between the synergies identified by the different methods. In the hindlimb, a simpler organization was observed, and a sequential activation of muscles similar to that observed in the forelimb during swing was less clear. We suggest that this organization of synergistic muscles provides a means by which descending signals could provide the detailed control of different muscle groups that is necessary for the flexible control of multi-articular movements.
机译：在目标定向的运动过程中，来自上棘结构的下降信号通过脊髓中神经元通路起作用，以影响适合任务要求的肌肉活动。最近使用分解方法的研究表明，通过激活在脊髓水平组织的协同作用可以促进这种控制。但是，很难将这些数学上定义的协同作用与原始记录中观察到的肌电活动模式直接相关。为了解决这个问题，我们使用了新颖的聚类分析对跑步机运动过程中前肢和后肢观察到的肌肉活动的协同模式进行了详细的研究。结果表明，基于同步共激活，可以将大量前臂肌肉的活动（18个肌肉中的26个爆发）分为11个簇。这些簇中的九个（9/11）在运动的摆动阶段定义了肌肉活动。这些簇以顺序的方式分布，并与离散的行为事件有关。与通过线性分解方法确定的协同作用的比较显示，在通过不同方法确定的协同作用之间存在惊人的相似性。在后肢中，观察到更简单的组织，并且在挥杆过程中，类似于在前肢中观察到的肌肉的顺序激活尚不清楚。我们认为这种协同肌肉的组织提供了一种方式，通过该方式下降信号可以提供对不同肌肉群的详细控制，这对于灵活地控制多关节运动是必需的。

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