Literature DB >> 27754975

Combining regression and mean comparisons to identify the time course of changes in neuromuscular responses during the process of fatigue.

Cory M Smith1, Terry J Housh, Nathaniel D M Jenkins, Ethan C Hill, Kristen C Cochrane, Amelia A Miramonti, Richard J Schmidt, Glen O Johnson.   

Abstract

The purposes of the present study were to apply a unique method for the identification of the time course of changes in neuromuscular responses and to infer the motor unit activation strategies used to maintain force during a fatiguing, intermittent isometric workbout. Eleven men performed 50, 6 s intermittent isometric muscle actions of the leg extensors, each separated by 2 s of rest at 60% maximal voluntary isometric contraction (MVIC). Electromyographic (EMG) and mechanomyographic (MMG) amplitude (root mean square; RMS) and frequency (mean power frequency; MPF) were obtained from the vastus lateralis (VL) every 5 of the 50 repetitions and normalized as a percent of the initial repetition. Polynomial regression analyses were used to determine the model of best fit for the normalized EMG RMS, EMG MPF, MMG RMS, and MMG MPF versus repetition relationships and one-way repeated measures ANOVAs with post-hoc Student Newman-Keuls were used to identify when these neuromuscular parameters changed from the initial repetition. The findings of the present study indicated two unique phases of neuromuscular responses (repetitions 1-20 and 20-50) during the fatiguing workbout. The time course of changes in these four neuromuscular responses suggested that the after-hyperpolarization theory could not explain the maintenance of force production, but Muscle Wisdom and the Onion Skin Scheme could. The findings of the current study suggested that the time course of changes in neuromuscular responses can provide insight in to the motor unit activation strategies used to maintain force production and allow for a greater understanding of the fatiguing process by identifying the time-points at which these neuromuscular parameters changed.

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Year:  2016        PMID: 27754975     DOI: 10.1088/0967-3334/37/11/1993

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  5 in total

1.  Electromechanical delays during a fatiguing exercise and recovery in patients with myotonic dystrophy type 1.

Authors:  Fabio Esposito; Emiliano Cè; Susanna Rampichini; Elena Monti; Eloisa Limonta; Barbara Fossati; Giovanni Meola
Journal:  Eur J Appl Physiol       Date:  2017-02-14       Impact factor: 3.078

Review 2.  Peripheral fatigue: new mechanistic insights from recent technologies.

Authors:  Emiliano Cè; Stefano Longo; Eloisa Limonta; Giuseppe Coratella; Susanna Rampichini; Fabio Esposito
Journal:  Eur J Appl Physiol       Date:  2019-11-19       Impact factor: 3.078

3.  A Comparative Study of EMG Indices in Muscle Fatigue Evaluation Based on Grey Relational Analysis during All-Out Cycling Exercise.

Authors:  Lejun Wang; Yuting Wang; Aidi Ma; Guoqiang Ma; Yu Ye; Ruijie Li; Tianfeng Lu
Journal:  Biomed Res Int       Date:  2018-04-16       Impact factor: 3.411

4.  Neuromuscular responses of the superficial quadriceps femoris muscles: muscle specific fatigue and inter-individual variability during severe intensity treadmill running.

Authors:  Haley C Bergstrom; Terry J Housh; Taylor K Dinyer; Travis M Byrd; Nathaniel D M Jenkins; Kristen C Cochrane-Snyman; Pasquale J Succi; Richard J Schmidt; Glen O Johnson; Jorge M Zuniga
Journal:  J Musculoskelet Neuronal Interact       Date:  2020-03-03       Impact factor: 2.041

5.  Fatigue effect on cross-talk in mechanomyography signals of extensor and flexor forearm muscles during maximal voluntary isometric contractions.

Authors:  Mohamad Razif Mohamad Ismail; Chee Kiang Lam; Kenneth Sundaraj; Mohd Hafiz Fazalul Rahiman
Journal:  J Musculoskelet Neuronal Interact       Date:  2021-12-01       Impact factor: 2.041

  5 in total

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