Allgöwer Kathrin, Hermsdörfer Joachim
Technical University of Munich, Department of Sport and Health Sciences, Chair of Human Movement Science, Munich, Germany.
Technical University of Munich, Department of Sport and Health Sciences, Chair of Human Movement Science, Munich, Germany.
Clin Neurophysiol. 2017 Oct;128(10):1858-1871. doi: 10.1016/j.clinph.2017.07.408. Epub 2017 Jul 31.
To determine factors characterizing the differences in fine motor performance between stroke patients and controls. To confirm the relevance of the factors by analyzing their predictive power with regard to the Jebsen Taylor Hand Function Test (JTHFT), a common clinical test of fine motor control.
Twenty-two people with slight paresis in an early chronic phase following stroke and twenty-two healthy controls were examined. Performance on the JTHFT, Nine-Hole Peg Test and 2-point discrimination was evaluated. To analyze object manipulation skills, grip forces and temporal measures were examined during (1) lifting actions with variations of weight and surface (2) cyclic movements (3) predictive/reactive catching tasks. Three other aspects of force control included (4) visuomotor tracking (5) fast force changes and (6) grip strength.
Based on 9 parameters which significantly distinguished fine motor performance in the two groups, we identified three principal components (factors): grip force scaling, motor coordination and speed of movement. The three factors are shown to predict JTHFT scores via linear regression (R=0.687, p<0.001).
We revealed a factor structure behind fine motor impairments following stroke and showed that it explains JTHFT results to a large extend.
This result can serve as a basis for improving diagnostics and enabling more targeted therapy.
确定中风患者与对照组在精细运动表现上存在差异的特征因素。通过分析这些因素对杰布森·泰勒手部功能测试(JTHFT,一种常见的精细运动控制临床测试)的预测能力,来证实这些因素的相关性。
对22名处于中风后慢性早期且有轻度麻痹的患者和22名健康对照者进行检查。评估他们在JTHFT、九孔插板测试和两点辨别测试中的表现。为分析物体操作技能,在以下情况下检查握力和时间测量指标:(1) 重量和表面不同的提起动作;(2) 循环运动;(3) 预测性/反应性接球任务。力控制的其他三个方面包括:(4) 视觉运动跟踪;(5) 快速力变化;(6) 握力。
基于9个能显著区分两组精细运动表现的参数,我们确定了三个主要成分(因素):握力缩放、运动协调性和运动速度。通过线性回归显示这三个因素可预测JTHFT分数(R = 0.687,p < 0.001)。
我们揭示了中风后精细运动障碍背后的因素结构,并表明其在很大程度上解释了JTHFT的结果。
这一结果可为改善诊断和实现更有针对性的治疗提供依据。