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首页> 外文期刊>Muscle and Nerve >Motor unit number estimates and quantitative motor unit analysis in healthy subjects and patients with amyotrophic lateral sclerosis.
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Motor unit number estimates and quantitative motor unit analysis in healthy subjects and patients with amyotrophic lateral sclerosis.

机译:健康受试者和肌萎缩性侧索硬化患者的运动单位数量估计和定量运动单位分析。

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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. Muscle Nerve, 2007.
机译:与肌萎缩性侧索硬化症(ALS)患者的整体功能测量相关的局限性以及针状肌电图的定性性质刺激了监测ALS疾病严重程度和进展的其他手段的发展。因此,本研究的目的是检验一种技术(基于分解的定量肌电图(DQEMG))从一组ALS患者中获得电生理数据(包括运动单位数量估计值(MUNE))的能力。在10例健康受试者和9例ALS患者中研究了第一背骨间肌和肱二头肌。在获得最大M波之后,在以最大自愿收缩力的10%进行的30秒收缩过程中,同时收集了经针头和表面检测到的EMG,以获得运动单位电位(MUP)火车。然后使用DQEMG提取与每个MUP列相关联的表面检测到的MUP,将其平均大小划分为最大M波以获得MUNE。结果表明,使用DQEMG获得的定量电生理数据可代表ALS患者下运动系统的病理生理变化,从而支持其在记录疾病自然史和病程的研究中的应用。肌肉神经,2007年。

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