IEEE Trans Neural Syst Rehabil Eng. 2024;32:2676-2687. doi: 10.1109/TNSRE.2024.3431234. Epub 2024 Jul 30.
Mild cognitive impairment (MCI) and gait deficits are commonly associated with Parkinson's disease (PD). Early detection of MCI associated with Parkinson's disease (PD-MCI) and its biomarkers is critical to managing disability in PD patients, reducing caregiver burden and healthcare costs. Gait is considered a surrogate marker for cognitive decline in PD. However, gait kinematic and kinetic features in PD-MCI patients remain unknown. This study was designed to explore the difference in gait kinematics and kinetics during single-task and dual-task walking between PD patients with and without MCI. Kinematic and kinetic data of 90 PD patients were collected using 3D motion capture system. Differences in gait kinematic and kinetic gait features between groups were identified by using: first, univariate statistical analysis and then a supervised machine learning analysis. The findings of this study showed that the presence of MCI in PD patients is coupled with kinematic and kinetic deviations of gait cycle which may eventually identify two different phenotypes of the disease. Indeed, as shown by the demographical and clinical comparison between the two groups, PD-MCI patients were older and more impaired. Moreover, PD-MCI kinematic results showed that cognitive dysfunction coexists with more severe axial symptoms and an increase postural flexion. A lack of physiological distal-to-proximal shift in joint kinetics was evidenced in the PD phenotype associated with cognitive impairments.
轻度认知障碍(MCI)和步态缺陷通常与帕金森病(PD)有关。早期发现与帕金森病相关的轻度认知障碍(PD-MCI)及其生物标志物对于管理 PD 患者的残疾、减轻照顾者负担和降低医疗保健成本至关重要。步态被认为是 PD 认知能力下降的替代标志物。然而,PD-MCI 患者的步态运动学和动力学特征尚不清楚。本研究旨在探讨 PD 患者有无 MCI 时在单任务和双任务行走期间步态运动学和动力学的差异。使用 3D 运动捕捉系统收集了 90 名 PD 患者的运动学和动力学数据。通过使用:首先,单变量统计分析,然后是监督机器学习分析,确定组间步态运动学和动力学特征的差异。这项研究的结果表明,PD 患者存在 MCI 与步态周期的运动学和动力学偏差有关,这可能最终确定疾病的两种不同表型。事实上,正如两组之间的人口统计学和临床比较所示,PD-MCI 患者年龄更大,受损更严重。此外,PD-MCI 的运动学结果表明,认知功能障碍与更严重的轴向症状和姿势前屈增加并存。在与认知障碍相关的 PD 表型中,关节动力学缺乏生理上的远端到近端的转移。