Gabriel L. Fernandes , Lucas B.R. Orssatto , Matheus D. Pinto , Joao S. Henkin , Ehsan Shandiz , Pamela A. McCombe , Robert D. Henderson , Gabriel S. Trajano
{"title":"Maximal motor unit firing rates decline with amyotrophic lateral sclerosis progression","authors":"Gabriel L. Fernandes , Lucas B.R. Orssatto , Matheus D. Pinto , Joao S. Henkin , Ehsan Shandiz , Pamela A. McCombe , Robert D. Henderson , Gabriel S. Trajano","doi":"10.1016/j.clinph.2026.2111697","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Methods</h3><div>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).</div></div><div><h3>Results</h3><div>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).</div></div><div><h3>Conclusion</h3><div>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.</div></div><div><h3>Significance</h3><div>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.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"185 ","pages":"Article 2111697"},"PeriodicalIF":3.6000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1388245726001963","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
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.
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.