Department of Kinesiology and Applied Physiology, University of Delaware, Newark, USA.
Program in Biomechanics and Movement Science (BIOMS), University of Delaware, 100 Discovery Blvd, Tower at STAR, Rm 234, Newark, DE, 19713, USA.
J Neuroeng Rehabil. 2024 Apr 9;21(1):51. doi: 10.1186/s12984-024-01350-9.
Previous work has shown that ~ 50-60% of individuals have impaired proprioception after stroke. Typically, these studies have identified proprioceptive impairments using a narrow range of reference movements. While this has been important for identifying the prevalence of proprioceptive impairments, it is unknown whether these error responses are consistent for a broad range of reference movements. The objective of this study was to characterize proprioceptive accuracy as function of movement speed and distance in stroke.
Stroke (N = 25) and controls (N = 21) completed a robotic proprioception test that varied movement speed and distance. Participants mirror-matched various reference movement speeds (0.1-0.4 m/s) and distances (7.5-17.5 cm). Spatial and temporal parameters known to quantify proprioception were used to determine group differences in proprioceptive accuracy, and whether patterns of proprioceptive error were consistent across testing conditions within and across groups.
Overall, we found that stroke participants had impaired proprioception compared to controls. Proprioceptive errors related to tested reference movement scaled similarly to controls, but some errors showed amplified scaling (e.g., significantly overshooting or undershooting reference speed). Further, interaction effects were present for speed and distance reference combinations at the extremes of the testing distribution.
We found that stroke participants have impaired proprioception and that some proprioceptive errors were dependent on characteristics of the movement (e.g., speed) and that reference movements at the extremes of the testing distribution resulted in significantly larger proprioceptive errors for the stroke group. Understanding how sensory information is utilized across a broad spectrum of movements after stroke may aid design of rehabilitation programs.
先前的研究表明,约有 50-60%的脑卒中患者存在本体感觉障碍。通常,这些研究使用狭窄的参考运动范围来识别本体感觉障碍。虽然这对于确定本体感觉障碍的患病率很重要,但尚不清楚这些误差反应是否与广泛的参考运动一致。本研究的目的是描述脑卒中患者在不同运动速度和距离下的本体感觉准确性。
脑卒中患者(N=25)和对照组(N=21)完成了一项机器人本体感觉测试,该测试改变了运动速度和距离。参与者以镜像方式匹配各种参考运动速度(0.1-0.4 m/s)和距离(7.5-17.5 cm)。使用已知可以量化本体感觉的时空参数来确定组间本体感觉准确性的差异,以及是否存在组内和组间测试条件下本体感觉误差模式一致的情况。
总的来说,我们发现脑卒中患者的本体感觉比对照组差。与对照组相比,与测试参考运动相关的本体感觉误差呈相似的比例缩放,但有些误差呈放大的比例缩放(例如,显著超过或低于参考速度)。此外,在测试分布的极端情况下,速度和距离参考组合存在交互效应。
我们发现脑卒中患者存在本体感觉障碍,并且一些本体感觉误差取决于运动的特征(例如速度),而且在测试分布的极端情况下,参考运动对脑卒中组产生的本体感觉误差明显更大。了解脑卒中后如何在广泛的运动范围内利用感觉信息可能有助于设计康复方案。