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Muscle synergies during locomotion in the cat: a model for motor cortex control

机译:猫运动过程中的肌肉协同作用:运动皮层控制模型

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摘要

It is well established that the motor cortex makes an important contribution to the control of visually guided gait modifications, such as those required to step over an obstacle. However, it is less clear how the descending cortical signal interacts with the interneuronal networks in the spinal cord to ensure that precise changes in limb trajectory are appropriately incorporated into the base locomotor rhythm. Here we suggest that subpopulations of motor cortical neurones, active sequentially during the step cycle, may regulate the activity of small groups of synergistic muscles, likewise active sequentially throughout the step cycle. These synergies, identified by a novel associative cluster analysis, are defined by periods of muscle activity that are coextensive with respect to the onset and offset of the EMG activity. Moreover, the synergies are sparse and are frequently composed of muscles acting around more than one joint. During gait modifications, we suggest that subpopulations of motor cortical neurones may modify the magnitude and phase of the EMG activity of all muscles contained within a given synergy. Different limb trajectories would be produced by differentially modifying the activity in each synergy thus providing a flexible substrate for the control of intralimb coordination during locomotion.
机译:公认的是,运动皮层对视觉引导步态控制(例如越过障碍物所需的步态控制)的控制做出了重要贡献。但是,尚不清楚下降的皮质信号如何与脊髓中的神经元间网络相互作用,以确保将肢体轨迹的精确变化适当地纳入基础运动节律中。在这里,我们建议运动皮质神经元的亚群,在步骤周期中顺序活动,可以调节小群协同肌肉的活动,同样在整个步骤周期中顺序活动。这些协同作用通过新颖的关联聚类分析确定,是由相对于EMG活动的发生和偏移共同延伸的肌肉活动时期定义的。而且,这种协同作用是稀疏的,并且经常由作用在一个以上关节周围的肌肉组成。在步态改变过程中,我们建议运动皮层神经元的亚群可能会改变给定协同作用中所有肌肉的EMG活动的大小和阶段。通过不同地改变每种协同作用的活性,可以产生不同的肢体轨迹,从而为运动过程中的下肢内协调控制提供灵活的基质。

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