University of Delaware, Newark, DE, USA.
Neurorehabil Neural Repair. 2021 May;35(5):419-430. doi: 10.1177/15459683211001025. Epub 2021 Mar 23.
There is significant variability in poststroke locomotor learning that is poorly understood and affects individual responses to rehabilitation interventions. Cognitive abilities relate to upper extremity motor learning in neurologically intact adults, but have not been studied in poststroke locomotor learning.
To understand the relationship between locomotor learning and retention and cognition after stroke.
Participants with chronic (>6 months) stroke participated in 3 testing sessions. During the first session, participants walked on a treadmill and learned a new walking pattern through visual feedback about their step length. During the second session, participants walked on a treadmill and 24-hour retention was assessed. Physical and cognitive tests, including the Fugl-Meyer-Lower Extremity (FM-LE), Fluid Cognition Composite Score (FCCS) from the NIH Toolbox -Cognition Battery, and Spatial Addition from the Wechsler Memory Scale-IV, were completed in the third session. Two sequential regression models were completed: one with learning and one with retention as the dependent variables. Age, physical impairment (ie, FM-LE), and cognitive measures (ie, FCCS and Spatial Addition) were the independent variables.
Forty-nine and 34 participants were included in the learning and retention models, respectively. After accounting for age and FM-LE, cognitive measures explained a significant portion of variability in learning ( = 0.17, = .008; overall model = 0.31, = .002) and retention (Δ = 0.17, = .023; overall model = 0.44, = .002).
Cognitive abilities appear to be an important factor for understanding locomotor learning and retention after stroke. This has significant implications for incorporating locomotor learning principles into the development of personalized rehabilitation interventions after stroke.
脑卒中后运动学习存在显著的个体差异,这种差异的机制尚不清楚,并且影响了患者对康复干预的反应。认知能力与神经完整的成年人的上肢运动学习有关,但尚未在脑卒中后的运动学习中进行研究。
了解脑卒中后运动学习和保持能力与认知之间的关系。
参与者为慢性(>6 个月)脑卒中患者,共参加了 3 次测试。在第一次测试中,参与者在跑步机上行走,并通过关于步长的视觉反馈来学习新的行走模式。在第二次测试中,参与者在跑步机上行走,并评估 24 小时保留情况。在第三次测试中,完成了物理和认知测试,包括 Fugl-Meyer 下肢运动量表(FM-LE)、来自 NIH 工具包认知电池的流体认知综合评分(FCCS)以及韦氏记忆量表-IV 的空间加法。完成了两个顺序回归模型:一个以学习为因变量,另一个以保留为因变量。独立变量为年龄、身体损伤(即 FM-LE)和认知测量(即 FCCS 和空间加法)。
分别有 49 名和 34 名参与者纳入学习和保留模型。在考虑年龄和 FM-LE 后,认知测量解释了学习( = 0.17, =.008;整体模型 = 0.31, =.002)和保留(Δ = 0.17, =.023;整体模型 = 0.44, =.002)变化的显著部分。
认知能力似乎是理解脑卒中后运动学习和保留的重要因素。这对将运动学习原则纳入脑卒中后的个性化康复干预措施的发展具有重要意义。