Literature DB >> 28751374

Associations between motor unit action potential parameters and surface EMG features.

Alessandro Del Vecchio1,2, Francesco Negro3, Francesco Felici1, Dario Farina4.   

Abstract

The surface interference EMG signal provides some information on the neural drive to muscles. However, the association between neural drive to muscle and muscle activation has long been debated with controversial indications due to the unavailability of motor unit population data. In this study, we clarify the potential and limitations of interference EMG analysis to infer motor unit recruitment strategies with an experimental investigation of several concurrently active motor units and of the associated features of the surface EMG. For this purpose, we recorded high-density surface EMG signals during linearly increasing force contractions of the tibialis anterior muscle, up to 70% of maximal force. The recruitment threshold (RT), conduction velocity (MUCV), median frequency (MDFMU), and amplitude (RMSMU) of action potentials of 587 motor units from 13 individuals were assessed and associated with features of the interference EMG. MUCV was positively associated with RT (R2 = 0.64 ± 0.14), whereas MDFMU and RMSMU showed a weaker relation with RT (R2 = 0.11 ± 0.11 and 0.39 ± 0.24, respectively). Moreover, the changes in average conduction velocity estimated from the interference EMG predicted well the changes in MUCV (R2 = 0.71), with a strong association to ankle dorsiflexion force (R2 = 0.81 ± 0.12). Conversely, both the average EMG MDF and RMS were poorly associated with motor unit recruitment. These results clarify the limitations of EMG spectral and amplitude analysis in inferring the neural strategies of muscle control and indicate that, conversely, the average conduction velocity could provide relevant information on these strategies.NEW & NOTEWORTHY The surface EMG provides information on the neural drive to muscles. However, the associations between EMG features and neural drive have been long debated due to unavailability of motor unit population data. Here, by using novel highly accurate decomposition of the EMG, we related motor unit population behavior to a wide range of voluntary forces. The results fully clarify the potential and limitation of the surface EMG to provide estimates of the neural drive to muscles.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  EMG features; conduction velocity; motor unit; recruitment; size principle; surface electromyography

Mesh:

Year:  2017        PMID: 28751374     DOI: 10.1152/japplphysiol.00482.2017

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  25 in total

1.  The increase in muscle force after 4 weeks of strength training is mediated by adaptations in motor unit recruitment and rate coding.

Authors:  Alessandro Del Vecchio; Andrea Casolo; Francesco Negro; Matteo Scorcelletti; Ilenia Bazzucchi; Roger Enoka; Francesco Felici; Dario Farina
Journal:  J Physiol       Date:  2019-02-06       Impact factor: 5.182

2.  Variability in common synaptic input to motor neurons modulates both force steadiness and pegboard time in young and older adults.

Authors:  Daniel F Feeney; Diba Mani; Roger M Enoka
Journal:  J Physiol       Date:  2018-07-04       Impact factor: 5.182

3.  You are as fast as your motor neurons: speed of recruitment and maximal discharge of motor neurons determine the maximal rate of force development in humans.

Authors:  Alessandro Del Vecchio; Francesco Negro; Ales Holobar; Andrea Casolo; Jonathan P Folland; Francesco Felici; Dario Farina
Journal:  J Physiol       Date:  2019-03-01       Impact factor: 5.182

4.  Transcutaneous electrical nerve stimulation improves fatigue performance of the treated and contralateral knee extensors.

Authors:  D G Behm; E M Colwell; G M J Power; H Ahmadi; A S M Behm; A Bishop; C Murph; J Pike; B McAssey; K Fraser; S Kearley; M Ryan
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Authors:  Jacky Soo; François Billaut; David J Bishop; Ryan J Christian; Olivier Girard
Journal:  Eur J Appl Physiol       Date:  2020-02-21       Impact factor: 3.078

6.  Fatigability of the knee extensors following high- and low-load resistance exercise sessions in trained men.

Authors:  Paul W Marshall; Thomas Forward; Roger M Enoka
Journal:  Eur J Appl Physiol       Date:  2021-10-20       Impact factor: 3.078

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Authors:  Andy Sanderson; Eduardo Martinez-Valdes; Nicola R Heneghan; Carlos Murillo; Alison Rushton; Deborah Falla
Journal:  J Anat       Date:  2019-01-21       Impact factor: 2.610

8.  Changes in the quadriceps spinal reflex pathway after repeated sprint cycling are not influenced by ischemic preconditioning.

Authors:  Paul W Marshall; Stine Brock Rasmussen; Malene Krogh; Samuel Halley; Jason C Siegler
Journal:  Eur J Appl Physiol       Date:  2020-04-01       Impact factor: 3.078

9.  Only the Fastest Corticospinal Fibers Contribute to β Corticomuscular Coherence.

Authors:  J Ibáñez; A Del Vecchio; J C Rothwell; S N Baker; D Farina
Journal:  J Neurosci       Date:  2021-04-23       Impact factor: 6.167

10.  The area under the waveform of electromyography for monitoring the external branches of the superior laryngeal nerve during thyroid surgery.

Authors:  Yishen Zhao; Zihan Zhao; Tie Wang; Daqi Zhang; Gianlorenzo Dionigi; Hui Sun
Journal:  Gland Surg       Date:  2021-01
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