Suppr超能文献

神经肌肉特性在确定运动终点方面的作用。

The role of neuromuscular properties in determining the end-point of a movement.

作者信息

Aoyagi Y, Stein R B, Mushahwar V K, Prochazka A

机构信息

Department of Rehabilitation Medicine, Kawasaki Medical School, Okayama 701-0192, Japan.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2004 Mar;12(1):12-23. doi: 10.1109/TNSRE.2003.823265.

Abstract

How does the activation of several muscles combine to produce reliable multijoint movements? To study this question, we stimulated up to six sites in muscles, nerves, and the spinal cord. Flexion and extension of the hip, knee, and ankle were elicited in anesthetized and decerebrate cats. The movements occurred largely in the sagittal plane against a constant spring load and covered most of the passive range of motion of the cat's limb. The movements of the end-point (foot) were compared with predictions based on vectorial summation of end-point movements elicited by stimulating single electrodes. The lengths of the movements produced by stimulating more than one site exceeded what was expected from linear summation for small movements (<3 cm) and showed a less than linear summation for large movements (>11 cm). The data were compared with muscle and limb models. Since the deviations from linearity were predictable as a function of distance, adjustments might easily be learned by trial and error. The summation was less complete for spinal stimulation, compared to nerve and muscle stimulation, so spinal circuits do not appear to compensate for the nonlinearities. Movements were elicited from positions of the limb not only in a neutral position, but also in front and behind the neutral position. A degree of convergence was seen, even with stimulation of some individual muscles, but the convergence increased as more muscles were stimulated and more joints were actively involved. This suggests that convergence to an equilibrium-point arises at least partly from muscle properties. In conclusion, there are deviations from linear vectorial summation, and these deviations increase when more muscles are stimulated. The convergence to an equilibrium-point may simplify the computations needed to produce movements involving many muscles.

摘要

几块肌肉的激活是如何结合起来产生可靠的多关节运动的?为了研究这个问题,我们刺激了肌肉、神经和脊髓中的多达六个部位。在麻醉和去大脑的猫身上引发了髋、膝和踝关节的屈伸。这些运动主要发生在矢状面,对抗恒定的弹簧负荷,覆盖了猫肢体大部分的被动运动范围。将终点(足部)的运动与基于刺激单个电极引发的终点运动矢量求和的预测结果进行比较。刺激多个部位产生的运动长度,对于小运动(<3厘米)超过了线性求和预期的值,而对于大运动(>11厘米)则表现出小于线性求和的情况。将这些数据与肌肉和肢体模型进行了比较。由于与距离相关的线性偏差是可预测的,通过试错法可能很容易学会调整。与神经和肌肉刺激相比,脊髓刺激的求和不太完整,因此脊髓回路似乎无法补偿非线性。不仅从肢体处于中立位置时,而且从位于中立位置前方和后方的位置都能引发运动。即使在刺激某些单个肌肉时也能看到一定程度的汇聚,但随着刺激更多肌肉以及更多关节积极参与,汇聚程度会增加。这表明向平衡点的汇聚至少部分源于肌肉特性。总之,存在与线性矢量求和的偏差,并且当刺激更多肌肉时这些偏差会增加。向平衡点的汇聚可能会简化产生涉及多块肌肉运动所需的计算。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验