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Computational theory on cerebello-spinal dynamics during gait

步态中小脑脊髓动力学的计算理论

基本信息

批准号：
13480295
负责人：
NOMURA Taishin
金额：
$ 9.6万
依托单位：
Osaka University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2002
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-13480295/
关键词：
locomotion nonlinear dynamical system CPG computational theory dynamic stability spinal network phase reset limit cycle 歩行脊髄計算モデルダイナミクススティッフネス ZMP

项目摘要

Brain control and human musculo-skeletal system and interaction with the environment through the ground reaction force provide a basis of dynamic stability during human gait We studied possible strategies used by the human central nervous system during maintenance of gait stability. Our study includes two sub-topics. In one topic, we studied the phase-dependent dynamic responses of human gait to impulsive force perturbations. This was conducted based on comparison between our theoretical modeling and experimental human motion measurements. We showed that phase-dependent modification of gait rhythm called phase retting could be optimally controlled to maximize the gait stability. The other topic was conducted on the coordinated gait pattern generation during a pedaling movement. The experiment was performed by healthy subjects and by patients with Parkinson's disease. The latter subjects showed various impaired (disordered) coordination. We proposed a nonlinear dynamical system model that could reproduce almost all observed patterns depending on a value of a single parameter of the model, implying that the emergence of the disordered coordination patterns was closely related to the bifurcation phenomena in the underlying dynamical system. These results suggested that, for the better maintenance of dynamic gait stability, the human brain needs some intelligent control strategies that take into account the nonlinear and oscillatory dynamics of the spinal cord and musculo-skeletal system.

大脑控制和人体肌肉骨骼系统以及通过地面反作用力与环境的相互作用为人体步态的动态稳定性提供了基础。我们的研究包括两个子课题。在一个主题中，我们研究了人体步态对冲击力扰动的相位相关动态响应。这是基于我们的理论建模和实验人体运动测量之间的比较。我们表明，相位依赖修改步态节律称为相位retting可以最佳控制，以最大限度地提高步态稳定性。另一个主题是在踏板运动过程中协调步态模式的生成。该实验由健康受试者和帕金森病患者进行。后一种受试者表现出各种受损（紊乱）的协调。我们提出了一个非线性动力学系统模型，该模型可以再现几乎所有观测到的模式，这意味着无序配位模式的出现与潜在动力学系统中的分岔现象密切相关。这些结果表明，为了更好地维持动态步态稳定性，人脑需要一些智能控制策略，考虑到脊髓和肌肉骨骼系统的非线性和振荡动力学。