IEEE Trans Biomed Eng. 2024 Nov;71(11):3293-3301. doi: 10.1109/TBME.2024.3416908. Epub 2024 Oct 25.
Hand impairment frequently occurs in individuals following a stroke. There is evidence of abnormal muscle co-activation that contributes to impaired control of finger independence. This study quantitatively analyzed hand muscle co-activation patterns of chronic stroke survivors. Systematically quantifying the degree of muscle co-activation patterns in stroke survivors can help us to better understand the mechanisms behind compromised finger independence and enables a more accurate assessment of hand impairment.
We analyzed muscle co-activation patterns both macroscopically and microscopically using high-density surface electromyographic (HD-sEMG) signals and decomposed motor unit signals from extrinsic and intrinsic flexor/extensor muscles. The muscle co-activation patterns between both sides of stroke survivors and neurologically intact controls were compared.
We observed increased levels of co-activation in the affected sides of stroke survivors compared with their contralateral sides and the control groups, with a higher degree in the extrinsic muscles than the intrinsic muscles. The asymmetry in muscle co-activation between hands correlated with impaired finger force independence and clinical assessment scales. In the micro-level analysis of motor unit action potentials (MUAPs) distributions, we observed a notable increase in action potential spread of MUAPs in the individual affected extrinsic muscles, but the altered MUAP distribution did not correlate with clinical assessment scales.
We systematically quantified abnormal muscle co-activation patterns in impaired finger independence after stroke.
With further development, the outcomes provide a comprehensive understanding of hand dexterity deficits in stroke survivors, which may provide guidance for targeted rehabilitation strategies and offer a potential for automated impairment evaluations.
手部功能障碍在中风患者中较为常见。已有研究表明,异常的肌肉协同收缩是导致手指独立性受损的原因之一。本研究旨在定量分析慢性中风幸存者手部肌肉协同收缩模式。系统地量化中风幸存者肌肉协同收缩模式的程度,有助于我们更好地理解手指独立性受损的机制,并能更准确地评估手部功能障碍。
我们使用高密度表面肌电图(HD-sEMG)信号和外在与内在屈肌/伸肌的分解运动单位信号,从宏观和微观层面分析肌肉协同收缩模式。比较了中风幸存者患侧和健侧以及对照组之间的肌肉协同收缩模式。
与健侧和对照组相比,中风幸存者患侧的肌肉协同收缩水平升高,外在肌肉的协同收缩程度高于内在肌肉。双手肌肉协同收缩的不对称性与手指力量独立性和临床评估量表相关。在运动单位动作电位(MUAP)分布的微观分析中,我们观察到个体患侧外在肌肉的 MUAP 动作电位传播明显增加,但改变的 MUAP 分布与临床评估量表不相关。
我们系统地量化了中风后手指独立性受损时的异常肌肉协同收缩模式。
随着进一步的发展,这些结果提供了对中风幸存者手部灵巧度缺陷的全面理解,为有针对性的康复策略提供了指导,并为自动评估损伤提供了可能。