University of Calgary, 1403 29th St. NW, Foothills Medical Centre, Calgary, AB, T2N 0P8, Canada.
Section of Neurology, Department of Pediatrics, Alberta Children's Hospital Research Institute, Calgary, AB, Canada.
J Neuroeng Rehabil. 2021 May 12;18(1):80. doi: 10.1186/s12984-021-00869-5.
Studies using clinical measures have suggested that proprioceptive dysfunction is related to motor impairment of the upper extremity following adult stroke. We used robotic technology and clinical measures to assess the relationship between position sense and reaching with the hemiparetic upper limb in children with perinatal stroke.
Prospective term-born children with magnetic resonance imaging-confirmed perinatal ischemic stroke and upper extremity deficits were recruited from a population-based cohort. Neurotypical controls were recruited from the community. Participants completed two tasks in the Kinarm robot: arm position-matching (three parameters: variability [Var], contraction/expansion [Area], systematic spatial shift [Shift]) and visually guided reaching (five parameters: posture speed [PS], reaction time [RT], initial direction error [IDE], speed maxima count [SMC], movement time [MT]). Additional clinical assessments of sensory (thumb localization test) and motor impairment (Assisting Hand Assessment, Chedoke-McMaster Stroke Assessment) were completed and compared to robotic measures.
Forty-eight children with stroke (26 arterial, 22 venous, mean age: 12.0 ± 4.0 years) and 145 controls (mean age: 12.8 ± 3.9 years) completed both tasks. Position-matching performance in children with stroke did not correlate with performance on the visually guided reaching task. Robotic sensory and motor measures correlated with only some clinical tests. For example, AHA scores correlated with reaction time (R = - 0.61, p < 0.001), initial direction error (R = - 0.64, p < 0.001), and movement time (R = - 0.62, p < 0.001).
Robotic technology can quantify complex, discrete aspects of upper limb sensory and motor function in hemiparetic children. Robot-measured deficits in position sense and reaching with the contralesional limb appear to be relatively independent of each other and correlations for both with clinical measures are modest. Knowledge of the relationship between sensory and motor impairment may inform future rehabilitation strategies and improve outcomes for children with hemiparetic cerebral palsy.
使用临床测量的研究表明,本体感觉功能障碍与成人中风后上肢运动障碍有关。我们使用机器人技术和临床测量来评估围产期卒中患儿偏瘫上肢的位置感和上肢的伸展与运动之间的关系。
从基于人群的队列中招募了经磁共振成像证实的围产期缺血性卒中且存在上肢缺损的足月出生儿童,并招募了神经典型对照。参与者在 Kinarm 机器人上完成了两项任务:手臂位置匹配(三个参数:变异性[Var]、收缩/扩张[Area]、系统空间移位[Shift])和视觉引导的伸展(五个参数:姿势速度[PS]、反应时间[RT]、初始方向误差[IDE]、速度最大值计数[SMC]、运动时间[MT])。还完成了对感觉(拇指定位测试)和运动障碍(辅助手评估、切多克-麦克马斯特中风评估)的额外临床评估,并与机器人测量值进行了比较。
48 名卒中患儿(动脉性 26 例,静脉性 22 例,平均年龄:12.0±4.0 岁)和 145 名对照(平均年龄:12.8±3.9 岁)完成了这两项任务。卒中患儿的位置匹配表现与视觉引导伸展任务的表现无关。机器人的感觉和运动测量仅与一些临床测试相关。例如,AHA 评分与反应时间(R=-0.61,p<0.001)、初始方向误差(R=-0.64,p<0.001)和运动时间(R=-0.62,p<0.001)呈负相关。
机器人技术可以量化偏瘫儿童上肢感觉和运动功能的复杂、离散方面。机器人测量的对侧肢体位置感和伸展的缺陷似乎彼此相对独立,且与临床测量值的相关性也适中。对感觉和运动障碍之间关系的了解可能会为偏瘫脑瘫患儿的未来康复策略提供信息,并改善其结果。