Gait and cognition are closely associated in Parkinson's disease (PD), with specific cognitive domains being associated with different motor symptoms. By identifying gait parameters affected by cognition, clinicians can develop targeted interventions that address cognitive impairment, improve gait, and reduce the risk of injury in PD patients. What gait parameters are affected by cognition in PD patients during dual-task walking, and how are these parameters related to cognitive function as measured by the Montreal Cognitive Assessment (MoCA)? 36 patients with available gait data and cognitive assessments were enrolled. Gait data of usual and dual-task walking sessions were recorded using lightweight wireless wearable sensors attached to trunk, lower, and upper extremities. Dual-task costs were calculated from usual and dual-task measures. Statistical analysis included non-parametric tests, Wilcoxon signed-rank test, Spearman’s correlation, and stepwise linear regression models. Walking speed, cadence, asymmetry in arm swing (ASA), between arms’ amplitude symmetry (BAS), average stride time, and jerk of the acceleration movement of the legs were found to be affected during the dual-task walking session (P<0.05). Spearman’s correlation showed significant correlations between MoCA scores and ASA (ρ=-0.469, =0.036) and BAS (ρ=-0.448, =0.036) costs. Stepwise linear regression models found that MoCA scores were significant predictors of BAS and ASA costs (P<0.05). This study found a significant association between global cognitive ability and several gait parameters costs under cognitive load caused by dual-task walking in PD patients. The study identified the gait parameters that were affected by cognitive load and found that MoCA scores were significant predictors of those gait parameters. Identifying gait parameters affected by cognition can lead to more targeted interventions for improving gait and reducing injury risk in PD patients.

中文翻译：

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双任务行走成本与帕金森病认知的关联

步态和认知与帕金森病 (PD) 密切相关，特定的认知领域与不同的运动症状相关。通过识别受认知影响的步态参数，临床医生可以制定有针对性的干预措施，解决帕金森病患者的认知障碍、改善步态并降低受伤风险。 PD 患者在双任务步行过程中认知会影响哪些步态参数？这些参数与蒙特利尔认知评估 (MoCA) 测量的认知功能有何关系？ 36 名具有可用步态数据和认知评估的患者被纳入研究。使用连接到躯干、下肢和上肢的轻型无线可穿戴传感器记录日常和双任务行走的步态数据。双任务成本是根据通常和双任务措施计算的。统计分析包括非参数检验、Wilcoxon 符号秩检验、Spearman 相关性和逐步线性回归模型。步行速度、节奏、手臂摆动不对称性 (ASA)、手臂幅度对称性 (BAS)、平均步幅时间和腿部加速运动的急动度被发现在双任务步行过程中受到影响 (P< 0.05）。 Spearman 相关性显示 MoCA 评分与 ASA (ρ=-0.469, =0.036) 和 BAS (ρ=-0.448, =0.036) 成本之间存在显着相关性。逐步线性回归模型发现 MoCA 评分是 BAS 和 ASA 成本的显着预测因子（P<0.05）。这项研究发现，在帕金森病患者的双任务行走引起的认知负荷下，整体认知能力与几个步态参数成本之间存在显着关联。该研究确定了受认知负荷影响的步态参数，并发现 MoCA 评分是这些步态参数的重要预测因素。识别受认知影响的步态参数可以采取更有针对性的干预措施，以改善帕金森病患者的步态并降低受伤风险。