Literature DB >> 31713783

Quantification of Neuromuscular Fatigue: What Do We Do Wrong and Why?

Nicolas Place1, Guillaume Y Millet2,3.   

Abstract

Neuromuscular fatigue (NMF) is usually assessed non-invasively in healthy, athletic or clinical populations with the combination of voluntary and evoked contractions. Although it might appear relatively straightforward to magnetically or electrically stimulate at different levels (cortical/spinal/muscle) and to measure mechanical and electromyographic responses to quantify neuromuscular adjustments due to sustained/repeated muscle contractions, there are drawbacks that researchers and clinicians need to bear in mind. The aim of this opinion paper is to highlight the pitfalls inevitably faced when NMF is quantified. The first problem might arise from the definition of fatigue itself and the parameter(s) used to measure it; for instance, measuring power vs. isometric torque may lead to different conclusions. Another potential limitation is the delay between exercise termination and the evaluation of neuromuscular function; the possible underestimation of exercise-induced neural and contractile impairment and misinterpretation of fatigue etiology will be discussed, as well as solutions recently proposed to overcome this problem. Quantification of NMF can also be biased (or not feasible) because of the techniques themselves (e.g. results may depend on stimulation intensity for transcranial magnetic stimulation) or the way data are analyzed (e.g. M wave peak-to-peak vs first phase amplitude). When available, alternatives recently suggested in the literature to overcome these pitfalls are considered and recommendations about the best practices to assess NMF (e.g. paying attention to the delay between exercise and testing, adapting the method to the characteristics of the population to be tested and considering the limitations associated with the techniques) are proposed.

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Year:  2020        PMID: 31713783     DOI: 10.1007/s40279-019-01203-9

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  78 in total

1.  Assessment of low-frequency fatigue with two methods of electrical stimulation.

Authors:  V Martin; G Y Millet; A Martin; G Deley; G Lattier
Journal:  J Appl Physiol (1985)       Date:  2004-07-16

2.  Fat tissue alters quadriceps response to femoral nerve magnetic stimulation.

Authors:  Katja Tomazin; Samuel Verges; Nicolas Decorte; Alain Oulerich; Nicola A Maffiuletti; Guillaume Y Millet
Journal:  Clin Neurophysiol       Date:  2010-11-18       Impact factor: 3.708

3.  Fatigue and recovery of power and isometric torque following isotonic knee extensions.

Authors:  Arthur J Cheng; Charles L Rice
Journal:  J Appl Physiol (1985)       Date:  2005-06-23

4.  Comparison of electrical nerve stimulation, electrical muscle stimulation and magnetic nerve stimulation to assess the neuromuscular function of the plantar flexor muscles.

Authors:  Daria Neyroud; John Temesi; Guillaume Y Millet; Samuel Verges; Nicola A Maffiuletti; Bengt Kayser; Nicolas Place
Journal:  Eur J Appl Physiol       Date:  2015-02-15       Impact factor: 3.078

5.  The development of peripheral fatigue and short-term recovery during self-paced high-intensity exercise.

Authors:  Christian Froyd; Guillaume Y Millet; Timothy D Noakes
Journal:  J Physiol       Date:  2012-12-10       Impact factor: 5.182

Review 6.  Fatigue and fatigability in neurologic illnesses: proposal for a unified taxonomy.

Authors:  Benzi M Kluger; Lauren B Krupp; Roger M Enoka
Journal:  Neurology       Date:  2013-01-22       Impact factor: 9.910

7.  Is maximum stimulation intensity required in the assessment of muscle activation capacity?

Authors:  Theodoros M Bampouras; Neil D Reeves; Vasilios Baltzopoulos; David A Jones; Constantinos N Maganaris
Journal:  J Electromyogr Kinesiol       Date:  2012-05-24       Impact factor: 2.368

Review 8.  Neuromuscular fatigue during exercise: Methodological considerations, etiology and potential role in chronic fatigue.

Authors:  Rosie Twomey; Saied Jalal Aboodarda; Renata Kruger; Susan Nicole Culos-Reed; John Temesi; Guillaume Y Millet
Journal:  Neurophysiol Clin       Date:  2017-04-20       Impact factor: 3.734

9.  Comparison of electrical and magnetic stimulations to assess quadriceps muscle function.

Authors:  Samuel Verges; Nicola A Maffiuletti; Hugo Kerherve; Nicolas Decorte; Bernard Wuyam; Guillaume Y Millet
Journal:  J Appl Physiol (1985)       Date:  2008-08-28

10.  Are Females More Resistant to Extreme Neuromuscular Fatigue?

Authors:  John Temesi; Pierrick J Arnal; Thomas Rupp; Léonard Féasson; Régine Cartier; Laurent Gergelé; Samuel Verges; Vincent Martin; Guillaume Y Millet
Journal:  Med Sci Sports Exerc       Date:  2015-07       Impact factor: 5.411

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  5 in total

Review 1.  On the reliability and validity of central fatigue determination.

Authors:  Raffy Dotan; Stacey Woods; Paola Contessa
Journal:  Eur J Appl Physiol       Date:  2021-05-08       Impact factor: 3.078

2.  Quantification of central fatigue: a central debate.

Authors:  Nicolas Place
Journal:  Eur J Appl Physiol       Date:  2021-05-15       Impact factor: 3.078

3.  Increased resistance towards fatigability in patients with facioscapulohumeral muscular dystrophy.

Authors:  Matteo Beretta-Piccoli; Luca Calanni; Massimo Negro; Giulia Ricci; Cinzia Bettio; Marco Barbero; Angela Berardinelli; Gabriele Siciliano; Rossella Tupler; Emiliano Soldini; Corrado Cescon; Giuseppe D'Antona
Journal:  Eur J Appl Physiol       Date:  2021-03-01       Impact factor: 3.078

Review 4.  Downhill Running: What Are The Effects and How Can We Adapt? A Narrative Review.

Authors:  Bastien Bontemps; Fabrice Vercruyssen; Mathieu Gruet; Julien Louis
Journal:  Sports Med       Date:  2020-12       Impact factor: 11.136

Review 5.  On the Influence of Group III/IV Muscle Afferent Feedback on Endurance Exercise Performance.

Authors:  Markus Amann; Hsuan-Yu Wan; Taylor S Thurston; Vincent P Georgescu; Joshua C Weavil
Journal:  Exerc Sport Sci Rev       Date:  2020-10       Impact factor: 6.642

  5 in total

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