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Near-fiber electromyography.

Mathew Piasecki1, Oscar Garnés-Camarena2, Daniel W Stashuk3

  • 1Clinical, Metabolic and Molecular Physiology, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom.

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|March 28, 2021
PubMed
Summary
This summary is machine-generated.

Near fiber electromyography (NFEMG) detects early neuromuscular changes using motor unit potential features. This technique can identify axonal sprouting and neuromuscular junction issues before changes in motor unit size or number are apparent.

Keywords:
Near fiber electromyographyNear fiber motor unit potentialQuantitative electromyography

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Area of Science:

  • Neurophysiology
  • Biomedical Engineering
  • Clinical Electrophysiology

Background:

  • Neuromuscular disorders and aging can alter motor unit (MU) morphology and electrophysiology.
  • Conventional electromyography (EMG) may not detect subtle, early-stage changes.
  • Near fiber electromyography (NFEMG) offers a potential method for earlier detection.

Purpose of the Study:

  • To describe and evaluate near fiber electromyography (NFEMG) and its key features.
  • To assess the utility of NFEMG in detecting early neuromuscular alterations.
  • To introduce NFMUP segment jitter as a novel measure for neuromuscular junction (NMJ) transmission and near fiber jitter.

Main Methods:

  • Extraction of near fiber motor unit potential (NFMUP) trains from needle-detected EMG signals.
  • Utilizing high-pass filtered MUPs to analyze MU morphology and electrophysiology.
  • Evaluation using simulated EMG data and presentation of human data examples.

Main Results:

  • NFEMG features, including NFMUP duration, dispersion, and segment jitter, can detect axonal sprouting, conduction slowing, and NMJ transmission delays.
  • These NFEMG measures can identify changes in MU fiber diameter variability and near fiber jitter.
  • Detected changes can precede alterations in MU size or number.

Conclusions:

  • NFMUP duration and dispersion correlate with distal axonal branching, conduction slowing, and NMJ transmission delay.
  • NFMUP jiggle and segment jitter accurately reflect near fiber jitter.
  • NFEMG demonstrates potential for augmenting the clinical diagnosis and monitoring of neuromuscular disorders through early detection of morphological and electrophysiological changes.