Maximal motor unit firing rates decline with amyotrophic lateral sclerosis progression

IF 3.6 3区 医学 Q1 CLINICAL NEUROLOGY
Clinical Neurophysiology Pub Date : 2026-05-01 Epub Date: 2026-02-19 DOI:10.1016/j.clinph.2026.2111697
Gabriel L. Fernandes , Lucas B.R. Orssatto , Matheus D. Pinto , Joao S. Henkin , Ehsan Shandiz , Pamela A. McCombe , Robert D. Henderson , Gabriel S. Trajano
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Abstract

Objective

Amyotrophic lateral sclerosis (ALS) is characterised by progressive degeneration of upper and lower motor neurons and their motor units (MUs). MU loss is compensated by collateral sprouting and reinnervation of muscle fibres. There is limited information about the properties of these surviving MUs as these processes take place. High-density surface electromyography (HD-sEMG) decomposition enables non-invasive analysis of individual MU firing behaviour during maximal voluntary contractions and assess their changes with ALS progression.

Methods

Thirty-nine individuals with ALS (24 men; mean age 63 ± 16 years) completed up to five visits (interval 20.0 ± 7.9 weeks). Tibialis anterior HD-sEMG recordings during maximal contractions were decomposed into individual MU spike trains, from which maximal firing rates were quantified. Muscle strength was assessed with the Medical Research Council (MRC) scale, and global function with the revised ALS Functional Rating Scale (ALSFRS-R).

Results

Maximal MU firing rates declined significantly over time [–0.32 Hz/month, (95% CI –0.44; –0.19)], regardless of MRC scores. Across participants, maximal firing rates decreased by 2.38 Hz (1.78; 2.98) for each 1-point reduction in MRC and by 0.54 Hz for each ALSFRS-R point (–0.83; –0.26).

Conclusion

These findings demonstrate that maximal MU firing rates decline as ALS progresses, suggesting that the surviving motor unit undergo progressive pathophysiological changes as motor neurons degenerate. HD-sEMG MU firing-rates analysis appeared more sensitive than MRC in detecting early deterioration in muscle decline.

Significance

Maximal firing rates analysis has the potential to serve as a quantitative clinical biomarker of neuromotor system degeneration, complementing global functional scales in clinical monitoring.
最大运动单位放电率随肌萎缩侧索硬化的进展而下降。
目的:肌萎缩性侧索硬化症(ALS)以上下运动神经元及其运动单位进行性变性为特征。肌纤维的侧支发芽和神经再支配可补偿MU损失。当这些过程发生时,关于这些幸存的微生物特性的信息有限。高密度表面肌电图(HD-sEMG)分解可以对最大自主收缩期间的单个MU放电行为进行无创分析,并评估其随ALS进展的变化。方法:39例ALS患者(24例男性,平均年龄63±16岁)完成了多达5次就诊(间隔20.0±7.9周)。最大收缩时的胫骨前肌HD-sEMG记录被分解成单个MU尖峰序列,并从中量化最大射击率。肌肉力量用医学研究委员会(MRC)量表评估,整体功能用修订的ALS功能评定量表(ALSFRS-R)评估。结果:无论MRC评分如何,最大MU放电率随时间显著下降[-0.32 Hz/月,(95% CI -0.44; -0.19)]。在所有参与者中,MRC每减少1点,最大放电率下降2.38 Hz (1.78; 2.98), ALSFRS-R每减少1点,最大放电率下降0.54 Hz(-0.83; -0.26)。结论:这些结果表明,随着ALS的进展,最大MU放电率下降,表明存活的运动单元随着运动神经元的退化而发生进行性病理生理变化。HD-sEMG MU放电率分析在检测肌肉衰退早期恶化方面比MRC更敏感。意义:最大放电率分析有可能作为神经运动系统退化的定量临床生物标志物,补充临床监测中的整体功能量表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical Neurophysiology
Clinical Neurophysiology 医学-临床神经学
CiteScore
8.70
自引率
6.40%
发文量
932
审稿时长
59 days
期刊介绍: As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology. Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.
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