Patients with Parkinson's disease (PD) have greater laterality of muscle contraction properties than other people with parkinsonism diseases. However, few studies have reported the laterality of MU activation properties of the lower extremity muscles in patients with PD. The aim of the present study was to identify the laterality of MU behavior in PD patients using high‐density surface electromyography (HD‐SEMG). Eleven female patients with PD (age, 69.2 ± 6.2 years, disease duration, 2.7 ± 0.9 years, Unified Parkinson's disease Rating Scale score, 13 (9–16)), and 9 control female subjects (age, 66.8 ± 3.5 years) were enrolled in the present study. All subjects performed a sustained isometric knee extension in a 30% maximal voluntary contraction (MVC) task for 20 s. HD‐SEMG signals were used to record and extract single MU firing behavior in the vastus lateralis muscle during submaximal isometric knee extensor contractions with 64 electrodes and decomposed with the convolution kernel compensation technique to extract individuals MUs. Compared to the control subjects, the patients with PD exhibited laterality of the MU firing rate and an absence of a relationship between the mean MU firing rate and MU threshold. Patients with PD exhibit laterality of MU behavior and experience MU behavioral abnormalities even with mild symptoms such as Hoehn & Yahr stage ≤ 3 and disease duration = 2.7 ± 0.9. These findings suggest the importance of considering the detection of abnormal muscle properties in PD patients beginning in the early phase of the disease.

中文翻译：

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使用高密度表面肌电图鉴定女性帕金森氏病患者运动单位行为的偏侧性

帕金森氏病（PD）的患者比其他帕金森氏病患者具有更大的肌肉收缩特性。但是，很少有研究报道PD患者下肢肌肉的MU激活特性具有侧向性。本研究的目的是使用高密度表面肌电图（HD-SEMG）来确定PD患者的MU行为的偏侧性。十一名女性PD患者（年龄，69.2±6.2岁，疾病持续时间，2.7±0.9年，帕金森病统一评分量表评分，13（9–16））和9名对照女性受试者（年龄，66.8±3.5岁）参加了本研究。所有受试者均在30％最大自愿收缩（MVC）任务中进行了持续的等距膝盖伸展，持续20 s。HD‐SEMG信号用于记录和提取具有64个电极的最大等距膝盖伸肌收缩期间股外侧肌中的单个MU放电行为，并使用卷积核补偿技术分解以提取单个MU。与对照组相比，PD患者表现出MU放电率的偏侧性，并且平均MU放电率与MU阈值之间没有关系。PD患者表现出MU行为偏侧性，甚至出现Hoehn＆Yahr分期≤3和疾病持续时间= 2.7±0.9等轻度症状，但MU行为异常。这些发现表明考虑从疾病早期开始检测PD患者异常肌肉特性的重要性。