Bakhtiary A H, Phoenix J, Edwards R H, Frostick S P
Department of Musculoskeletal Science, The Royal Liverpool University Hospital, UK.
Eur J Appl Physiol. 2000 Dec;83(6):551-8. doi: 10.1007/s004210000297.
Two models of motor learning (ML) practice (complex and simple) were used to investigate upper limb function in individuals with facioscapulohumeral dystrophy (FSHD). The effect of ML practice was studied by examining changes in the ability to undertake a simulated drinking task. In the complex model, seven FSHD patients and seven age- and gender-matched healthy volunteers were studied. Performance was assessed by measurement of the electromyographic (EMG) activity of the biceps brachii and brachioradialis, elbow joint flexion, shoulder joint flexion and abduction, maximum acceleration at the onset of movement, movement time and reaction time, both before and after a 30-min complex ML task. In the simple model, a second group of six FSHD patients and six age- and gender-matched healthy subjects were studied. The same parameters were measured as for the complex ML task, except that the EMG activity of the triceps and deltoid muscles (anterior part) were measured instead of that of the brachioradialis. In both studies, the FSHD patients showed significantly larger values for all parameters except the flexion of shoulder joint and reaction time, compared with controls before the ML task. In the FSHD group, while the complex ML resulted in decreases in the brachioradialis EMG activity (P<0.005) and reaction time (P<0.0001), the simple ML model resulted in significant changes towards the normal value in all parameters measured except shoulder flexion. The change in the measured variables towards normal values indicates that ML may help to improve performance in FSHD.
采用两种运动学习(ML)练习模式(复杂模式和简单模式)来研究面肩肱型肌营养不良症(FSHD)患者的上肢功能。通过检查完成模拟饮水任务能力的变化来研究ML练习的效果。在复杂模式中,研究了7名FSHD患者以及7名年龄和性别匹配的健康志愿者。在30分钟的复杂ML任务前后,通过测量肱二头肌和肱桡肌的肌电图(EMG)活动、肘关节屈曲、肩关节屈曲和外展、运动开始时的最大加速度、运动时间和反应时间来评估表现。在简单模式中,研究了第二组6名FSHD患者以及6名年龄和性别匹配的健康受试者。测量的参数与复杂ML任务相同,只是测量肱三头肌和三角肌(前部)的EMG活动,而非肱桡肌的。在两项研究中,与ML任务前的对照组相比,FSHD患者除肩关节屈曲和反应时间外,所有参数的值均显著更大。在FSHD组中,复杂ML导致肱桡肌EMG活动降低(P<0.005)和反应时间缩短(P<0.0001),而简单ML模式导致除肩关节屈曲外所有测量参数均显著向正常值变化。测量变量向正常值的变化表明ML可能有助于改善FSHD患者的表现。