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首页> 外文期刊>Journal of Computational Neuroscience >Model-based prediction of fusimotor activity and its effect on muscle spindle activity during voluntary wrist movements
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Model-based prediction of fusimotor activity and its effect on muscle spindle activity during voluntary wrist movements

机译：基于模型的腕关节自主运动中的融合运动活动及其对肌肉纺锤活动的影响的预测

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Muscle spindles provide critical information about movement position and velocity. They have been shown to act as stretch receptors in passive muscle, however, during active movements their behavior is less clear. In particular, spindle responses have been shown to be out-of-phase or phase advanced with respect to their expected muscle length-sensitivity. Whether this apparent discrepancy of spindle responses between passive and active movements is due to fusimotor (γ-drive) remains unresolved, since the activity of fusimotor neurons during voluntary non-locomotor movements are largely unknown. We developed a computational model to predict fusimotor activity and to investigate whether fusimotor activity could explain the empirically observed phase advance of spindle responses. The model links a bio-mechanical wrist model to length- and γ-drive-dependent transfer functions of type Ia and type Ⅱ muscle spindle activity. Our simulations of two wrist-movement tasks suggest that (ⅰ) experimentally observed type Ia and type Ⅱ activity profiles can to a large part be explained by appropriate, i.e. strongly modulated and task-dependent, y-drive. That (ⅱ) the empirically observed phase advance of type Ia or of type Ⅱ profiles during active movement can be similarly explained by appropriate γ-drive. In summary, the simulation predicts that a highly task-modulated activation of the γ-system is instrumental in producing a large part of the empirically observed muscle spindle activity for voluntary wrist movements.
机译：肌肉纺锤提供有关运动位置和速度的关键信息。它们已显示出在被动肌肉中充当拉伸受体，但是在主动运动期间，它们的行为尚不清楚。尤其是，主轴响应已显示出相对于预期的肌肉长度敏感性异相或相提前。主动运动和被动运动之间主轴响应的这种明显差异是否是由于融合运动（γ驱动）引起的，这一点尚待解决，因为自愿非运动运动期间融合运动神经元的活动尚不清楚。我们开发了一个计算模型来预测梭动活动，并研究梭动活动是否可以解释根据经验观察到的纺锤体反应的相移。该模型将生物机械腕模型与Ia型和Ⅱ型肌梭活动的长度和γ驱动依赖的传递函数联系起来。我们对两个腕部运动任务的模拟表明，（ⅰ）实验观察到的Ia型和Ⅱ型活动曲线在很大程度上可以通过适当的方式来解释，即强调制和与任务有关的y驱动。可以通过适当的γ驱动类似地解释（active）主动运动过程中Ia型或Ⅱ型轮廓的经验观察到的相移。总而言之，该模拟预测，γ系统的高度任务调节激活有助于产生大量根据经验观察到的自愿手腕运动的肌肉纺锤活动。

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