Non‐invasive estimation of muscle fibre size from high‐density electromyography

Author:

Casolo Andrea1ORCID,Maeo Sumiaki23ORCID,Balshaw Thomas G.34ORCID,Lanza Marcel B.5ORCID,Martin Neil R. W.4,Nuccio Stefano6ORCID,Moro Tatiana1ORCID,Paoli Antonio1ORCID,Felici Francesco6ORCID,Maffulli Nicola789ORCID,Eskofier Bjoern10ORCID,Kinfe Thomas M.10ORCID,Folland Jonathan P.34,Farina Dario11ORCID,Vecchio Alessandro Del10ORCID

Affiliation:

1. Department of Biomedical Sciences University of Padova Padua Italy

2. Faculty of Sport and Health Science Ritsumeikan University Kusatsu Shiga Japan

3. School of Sport, Exercise & Health Sciences Loughborough University Loughborough UK

4. Versus Arthritis Centre for Sport, Exercise and Osteoarthritis Research Loughborough University Leicestershire UK

5. Department of Physical Therapy and Rehabilitation Science University of Maryland Baltimore MD USA

6. Department of Movement, Human and Health Sciences University of Rome ‘Foro Italico’ Rome Italy

7. Department of Trauma and Orthopaedic Surgery, School Medicine, Surgery and Dentistry University of Salerno Salerno Italy

8. School of Pharmacy and Bioengineering Keele University School of Medicine Stoke on Trent UK

9. Queen Mary University of London, Barts and the London School of Medicine and Dentistry, Centre for Sports and Exercise Medicine Mile End Hospital London UK

10. Department Artificial Intelligence in Biomedical Engineering Friedrich‐Alexander University Erlangen‐Nürnberg Erlangen Germany

11. Department of Bioengineering Imperial College London London UK

Abstract

AbstractBecause of the biophysical relation between muscle fibre diameter and the propagation velocity of action potentials along the muscle fibres, motor unit conduction velocity could be a non‐invasive index of muscle fibre size in humans. However, the relation between motor unit conduction velocity and fibre size has been only assessed indirectly in animal models and in human patients with invasive intramuscular EMG recordings, or it has been mathematically derived from computer simulations. By combining advanced non‐invasive techniques to record motor unit activity in vivo, i.e. high‐density surface EMG, with the gold standard technique for muscle tissue sampling, i.e. muscle biopsy, here we investigated the relation between the conduction velocity of populations of motor units identified from the biceps brachii muscle, and muscle fibre diameter. We demonstrate the possibility of predicting muscle fibre diameter (R2 = 0.66) and cross‐sectional area (R2 = 0.65) from conduction velocity estimates with low systematic bias (∼2% and ∼4% respectively) and a relatively low margin of individual error (∼8% and ∼16%, respectively). The proposed neuromuscular interface opens new perspectives in the use of high‐density EMG as a non‐invasive tool to estimate muscle fibre size without the need of surgical biopsy sampling. The non‐invasive nature of high‐density surface EMG for the assessment of muscle fibre size may be useful in studies monitoring child development, ageing, space and exercise physiology, although the applicability and validity of the proposed methodology need to be more directly assessed in these specific populations by future studies. imageKey points Because of the biophysical relation between muscle fibre size and the propagation velocity of action potentials along the sarcolemma, motor unit conduction velocity could represent a potential non‐invasive candidate for estimating muscle fibre size in vivo. This relation has been previously assessed in animal models and humans with invasive techniques, or it has been mathematically derived from simulations. By combining high‐density surface EMG with muscle biopsy, here we explored the relation between the conduction velocity of populations of motor units and muscle fibre size in healthy individuals. Our results confirmed that motor unit conduction velocity can be considered as a novel biomarker of fibre size, which can be adopted to predict muscle fibre diameter and cross‐sectional area with low systematic bias and margin of individual error. The proposed neuromuscular interface opens new perspectives in the use of high‐density EMG as a non‐invasive tool to estimate muscle fibre size without the need of surgical biopsy sampling.

Publisher

Wiley

Subject

Physiology

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