Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies.
Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies.
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DOI：
10.3389/fncom.2013.00011
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发表时间：
2013
影响因子：
3.2
通讯作者：
Pozzo T
中科院分区：
文献类型：
--
作者：
Chiovetto E;Berret B;Delis I;Panzeri S;Pozzo T
神经科学界长期存在的一个假设是，中枢神经系统（CNS）通过组合相对少量的肌肉激活的定型模式（通常称为“肌肉协同作用”）来产生肌肉活动以完成运动。文献中对协同作用给出了不同的定义。最著名的是那些同步，随时间变化和时间肌肉协同作用。它们中的每一个都是基于不同的数学模型，用于将在执行各种运动任务期间收集的一些EMG阵列记录因子化为明确的空间、时间或时空组织。到目前为止，这种多个定义及其对复杂任务的单独应用使跨研究获得的结果的比较和解释变得复杂，并且一直不清楚为什么以及何时应该首选一种协同分解。通过使用众所周知的运动任务，如肘关节屈曲和伸展，我们在这项研究中的目的是更好地澄清什么是运动功能的特点，每种分解，并评估是否，何时以及为什么其中一个应该优先于其他。我们发现，三个时间的协同作用，他们中的每一个占特定的时间阶段的运动可以解释大部分的数据变化。类似的表现可以通过两个同步的协同作用来实现，编码所考虑的两个肌肉的激动剂-拮抗剂性质，以及通过两个随时间变化的肌肉协同作用来实现，编码手肘运动的任务相关特征，特别是它们的方向。我们的研究结果支持这样的观点，即每个EMG分解提供了一组很好的解释肌肉协同作用，确定在运动的不同方面的降维。两者合计，我们的研究结果表明，所有的分解是不等价的，并可能意味着不同的神经生理学基板实施。
A long standing hypothesis in the neuroscience community is that the central nervous system (CNS) generates the muscle activities to accomplish movements by combining a relatively small number of stereotyped patterns of muscle activations, often referred to as “muscle synergies.” Different definitions of synergies have been given in the literature. The most well-known are those of synchronous, time-varying and temporal muscle synergies. Each one of them is based on a different mathematical model used to factor some EMG array recordings collected during the execution of variety of motor tasks into a well-determined spatial, temporal or spatio-temporal organization. This plurality of definitions and their separate application to complex tasks have so far complicated the comparison and interpretation of the results obtained across studies, and it has always remained unclear why and when one synergistic decomposition should be preferred to another one. By using well-understood motor tasks such as elbow flexions and extensions, we aimed in this study to clarify better what are the motor features characterized by each kind of decomposition and to assess whether, when and why one of them should be preferred to the others. We found that three temporal synergies, each one of them accounting for specific temporal phases of the movements could account for the majority of the data variation. Similar performances could be achieved by two synchronous synergies, encoding the agonist-antagonist nature of the two muscles considered, and by two time-varying muscle synergies, encoding each one a task-related feature of the elbow movements, specifically their direction. Our findings support the notion that each EMG decomposition provides a set of well-interpretable muscle synergies, identifying reduction of dimensionality in different aspects of the movements. Taken together, our findings suggest that all decompositions are not equivalent and may imply different neurophysiological substrates to be implemented.
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影响因子：
1.8
作者：
FERRE, L
通讯作者：
FERRE, L
影响因子：
2
作者：
Chiovetto, Enrico;Patane, Laura;Pozzo, Thierry
通讯作者：
Pozzo, Thierry
影响因子：
5.3
作者：
d'Avella, Andrea;Portone, Alessandro;Lacquaniti, Francesco
通讯作者：
Lacquaniti, Francesco
影响因子：
--
作者：
Bizzi, E.;Cheung, V. C. K.;Tresch, M.
通讯作者：
Tresch, M.
影响因子：
2.5
作者：
d'Avella, Andrea;Fernandez, Laure;Lacquaniti, Francesco
通讯作者：
Lacquaniti, Francesco