Sequential activation of muscle synergies during locomotion in the intact cat as revealed by cluster analysis and direct decomposition
Sequential activation of muscle synergies during locomotion in the intact cat as revealed by cluster analysis and direct decomposition
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DOI：
10.1152/jn.00241.2006
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发表时间：
2006-10-01
影响因子：
2.5
通讯作者：
Drew, Trevor
中科院分区：
文献类型：
--
作者：
Krouchev, Nedialko;Kalaska, John F.;Drew, Trevor
通过聚类分析和直接分解发现，完整猫在运动过程中肌肉协同作用的顺序激活。神经生理学杂志96：1991-2010,2006。2006年7月5日首次出版；DOI：10.1152/jn.00241.2006。在以目标为导向的运动中，来自脊髓上结构的下行信号通过脊髓神经元间通路影响肌肉活动的变化，以适应任务要求。最近使用分解方法的研究表明，这种控制可能通过激活在脊髓水平上组织的协同作用来促进。然而，很难将这些数学定义的协同效应与原始记录中观察到的肌电活动模式直接联系起来。为了解决这个问题，我们使用了一种新的聚类分析来详细研究在跑步机运动过程中观察到的前肢和后肢肌肉活动的协同模式的组织。结果表明，在同步共激活的基础上，大量前肢肌肉的活动(18个肌肉中的26个突发性活动)可以被分成11个类群。这些簇中有9个(9/11)定义了运动摆动阶段的肌肉活动；这些簇是按顺序分布的，与离散的行为事件有关。与线性分解方法确定的协同效应进行比较后发现，不同方法确定的协同效应有一些惊人的相似之处。在后肢，观察到一个更简单的组织，而肌肉的顺序激活类似于前肢在摆动过程中观察到的不太清楚。我们认为，这种协同肌肉的组织提供了一种方法，通过这种方法，下行信号可以提供对不同肌群的详细控制，这是灵活控制多关节运动所必需的。
Sequential activation of muscle synergies during locomotion in the intact cat as revealed by cluster analysis and direct decomposition. J Neurophysiol 96: 1991-2010, 2006. First published July 5, 2006, 2006;doi:10.1152/jn.00241.2006. 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 of locomotion; 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.