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健康受试者和肌萎缩侧索硬化症患者的运动单位数量估计及定量运动单位分析

Motor unit number estimates and quantitative motor unit analysis in healthy subjects and patients with amyotrophic lateral sclerosis.

作者信息

Boe Shaun G, Stashuk Daniel W, Doherty Timothy J

机构信息

School of Kinesiology, University of Western Ontario, London, Ontario, Canada.

出版信息

Muscle Nerve. 2007 Jul;36(1):62-70. doi: 10.1002/mus.20784.

Abstract

Limitations associated with global measures of function in patients with amyotrophic lateral sclerosis (ALS) and the qualitative nature of needle electromyography have stimulated the development of alternate means of monitoring disease severity and progression in ALS. Thus, the objective of this study was to examine the ability of one these techniques, decomposition-based quantitative electromyography (DQEMG), to obtain electrophysiological data, including motor unit number estimates (MUNEs), from a group of patients with ALS. The first dorsal interosseous and biceps brachii muscles were studied in 10 healthy subjects and 9 patients with ALS. Following the acquisition of a maximum M wave, needle- and surface-detected EMGs were collected simultaneously during 30-second contractions performed at 10% of the maximum voluntary contraction force to obtain motor unit potential (MUP) trains. DQEMG was then used to extract the surface-detected MUP associated with each MUP train, the mean size of which was divided into the maximum M wave to obtain a MUNE. The results suggest that quantitative electrophysiological data obtained using DQEMG are representative of the pathophysiological changes in the lower motor system in ALS patients, supporting its use in studies documenting the natural history and progression of the disease.

摘要

与肌萎缩侧索硬化症(ALS)患者的整体功能测量相关的局限性以及针极肌电图的定性性质,促使人们开发出监测ALS疾病严重程度和进展的替代方法。因此,本研究的目的是检验这些技术之一,即基于分解的定量肌电图(DQEMG),从一组ALS患者中获取包括运动单位数量估计(MUNE)在内的电生理数据的能力。对10名健康受试者和9名ALS患者的第一背侧骨间肌和肱二头肌进行了研究。在获取最大M波后,在以最大自主收缩力的10%进行的30秒收缩过程中,同时收集针极和表面检测到的肌电图,以获得运动单位电位(MUP)序列。然后使用DQEMG提取与每个MUP序列相关的表面检测到的MUP,将其平均大小除以最大M波以获得MUNE。结果表明,使用DQEMG获得的定量电生理数据代表了ALS患者下运动系统的病理生理变化,支持其在记录疾病自然史和进展的研究中的应用。

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