The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Department of Excellence in Robotics&AI, Scuola Superiore Sant'Anna, Pisa, Italy.
Exp Brain Res. 2021 Feb;239(2):501-513. doi: 10.1007/s00221-020-05965-x. Epub 2020 Nov 27.
Walking patterns of persons affected by cerebellar ataxia (CA) are characterized by wide stride-to-stride variability ascribable to: the background pathology-related sensory-motor noise; the motor redundancy, i.e., an excess of elemental degrees of freedom that overcomes the number of variables underlying a specific task performance. In this study, we first tested the hypothesis that healthy and, especially, CA subjects can effectively exploit solutions in the domain of segmental angles to stabilize the position of either the foot or the pelvis (task performance) across heel strikes, in accordance with the uncontrolled manifold (UCM) theory. Next, we verified whether a specific perturbation-based training allows CA subjects to further take advantage of this coordination mechanism to better cope with their inherent pathology-related variability. Results always rejected the hypothesis of pelvis stabilization whereas supported the idea that the foot position is stabilized across heel strikes by a synergic covariation of elevation and azimuth angles of lower limb segments in CA subjects only. In addition, it was observed that the perturbation-based training involves a decreasing trend in the variance component orthogonal to the UCM in both groups, reflecting an improved accuracy of the foot control. Concluding, CA subjects can effectively structure the wide amount of pathology-related sensory-motor noise to stabilize specific task performance, such as the foot position across heel strikes. Moreover, the promising effects of the proposed perturbation-based training paradigm are expected to improve the coordinative strategy underlying the stabilization of the foot position across strides, thus ameliorating balance control during treadmill locomotion.
受小脑性共济失调(CA)影响的人的行走模式的特点是步幅间的变异性很大,这归因于:背景病理相关的感觉运动噪声;运动冗余,即基本自由度的过剩超过了特定任务表现所依据的变量数量。在这项研究中,我们首先测试了一个假设,即健康人和特别是 CA 受试者可以有效地利用分段角度域中的解决方案来稳定脚部或骨盆(任务表现)在脚跟撞击时的位置,这符合无控制流形(UCM)理论。接下来,我们验证了基于特定扰动的训练是否允许 CA 受试者进一步利用这种协调机制来更好地应对其固有的与病理相关的变异性。结果始终拒绝了骨盆稳定的假设,而支持了脚部位置通过 CA 受试者下肢段的升高和方位角度的协同变化在脚跟撞击时得到稳定的观点。此外,观察到基于扰动的训练涉及到两组中与 UCM 正交的方差分量的减小趋势,反映了脚部控制精度的提高。总之,CA 受试者可以有效地构建与病理相关的大量感觉运动噪声,以稳定特定的任务表现,例如脚跟撞击时的脚部位置。此外,所提出的基于扰动的训练范式的有希望的效果预计将改善稳定步伐间脚部位置的协调策略,从而改善跑步机运动期间的平衡控制。