Construction of a computational model for gait disorder using neuronal oscillators controlled by the cortico-basal ganglia loop

在这项研究中，我们建立了一个基于皮质-基底神经节环路的人类步态计算模型。该模型再现了正常受试者和帕金森病患者的步态模式。首先，我们计算步态模式的定量指标，表征年轻健康受试者与老年健康受试者、老年健康受试者与老年PD患者之间的差异。其次，我们构建了由皮质-基底神经节环和神经元振荡器组成的计算模型。利用该模型进行计算机模拟，分别再现了老年健康人和老年PD患者的腿部步态运动。我们证实皮质-基底神经节环可以改变步态控制。

In this study, we developed a computational model of human gait based on the cortico-basal ganglia loop circuit. The model reproduced gait patterns of normal subjects and patients with Parkinson' s disease(PD). First, we calculated quantitative indices on gait patterns, and characterized the differences between young healthy subjects and elderly healthy subjects and between elderly healthy subjects and elderly PD patients. Second, we constructed the computational model consisting of the cortico-basal ganglia loop and neuronal oscillators. The computer simulation using this model reproduced the gait motion of the legs of elderly healthy subjects and elderly PD patients, respectively. We confirmed that the cortico-basal ganglia loop could change the gait control.