Departments of Physical Therapy (M.A.F., D.S.R.) and Communication Sciences and Disorders (M.L.C.), University of Delaware, Newark; Biomechanics and Movement Science Program, University of Delaware, Newark (M.A.F., D.S.R.); and College of Health Sciences Biostatistics Core Facility, University of Delaware, Newark (R.T.P.).
J Neurol Phys Ther. 2022 Jan 1;46(1):3-10. doi: 10.1097/NPT.0000000000000373.
The ability to switch between walking patterns (ie, locomotor switching) is vital for successful community navigation and may be impacted by poststroke impairments. Thus, the purpose of this work was to examine locomotor switching and the relationship between locomotor switching and fluid cognition in individuals after stroke compared with neurotypical adults.
Twenty-nine individuals more than 6 months after stroke and 18 neurotypical adults participated in a 2-day study. On day 1, participants were taught a new walking pattern on the treadmill and then locomotor switching was assessed by instructing participants to switch between the new walking pattern and their usual walking pattern. The change between these 2 patterns was calculated as the switching index. On day 2, the NIH Toolbox Cognition Battery was administered to obtain the Fluid Cognition Composite Score (FCCS), which reflected fluid cognition. The switching index was compared between groups using an analysis of covariance, and the relationship between locomotor switching and fluid cognition was assessed with regression.
Individuals after stroke had significantly lower switching indexes compared with neurotypical adults (P = 0.03). The regression showed a significant interaction between group and FCCS (P = 0.002), with the FCCS predicting the switching index in neurotypical adults but not in individuals after stroke.
Individuals after stroke appear to have deficits in locomotor switching compared with neurotypical adults. The relationship between fluid cognition and locomotor switching was significant in neurotypical adults but not in individuals after stroke. Future work to understand the relationship between specific cognitive domains and locomotor switching is needed (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A361).
切换行走模式(即运动切换)的能力对于成功进行社区导航至关重要,并且可能受到中风后损伤的影响。因此,本研究旨在比较中风后个体与神经典型成年人之间的运动切换能力以及运动切换与流体认知之间的关系。
29 名中风后超过 6 个月的个体和 18 名神经典型成年人参加了为期 2 天的研究。在第 1 天,参与者在跑步机上学习新的行走模式,然后通过指示参与者在新的行走模式和他们通常的行走模式之间切换来评估运动切换。这两种模式之间的变化被计算为切换指数。在第 2 天,进行 NIH 工具包认知电池测试以获得流体认知综合评分(FCCS),该评分反映了流体认知。使用协方差分析比较组间的切换指数,使用回归评估运动切换与流体认知之间的关系。
中风后个体的切换指数明显低于神经典型成年人(P=0.03)。回归显示组间和 FCCS 之间存在显著的交互作用(P=0.002),FCCS 可以预测神经典型成年人的切换指数,但不能预测中风后个体的切换指数。
与神经典型成年人相比,中风后个体的运动切换能力似乎存在缺陷。流体认知与运动切换之间的关系在神经典型成年人中具有统计学意义,但在中风后个体中不具有统计学意义。需要进一步研究以了解特定认知领域与运动切换之间的关系(请观看视频,补充数字内容 1,可在以下网址获取:http://links.lww.com/JNPT/A361)。