Literature DB >> 26012503

Identifying fasciculation potentials in motor neuron disease: A matter of probability.

Boudewijn T H M Sleutjes1, Ivan Gligorijević2, Inger Montfoort1, Pieter A van Doorn3, Gerhard H Visser4, Joleen H Blok5.   

Abstract

INTRODUCTION: Fasciculations, the spontaneous activity of single motor units (MUs) are characteristic, but nonspecific for motor neuron disease (MND). We aimed to identify MU discharge properties to optimally differentiate MND patients from healthy controls.
METHODS: High-density surface electromyography recordings were performed in the thenar muscles during 10 min of rest. MU discharges were classified as "isolated" when the interspike intervals (ISIs) before and after were > 250 ms, "continual" when both ISIs were ≤ 250 ms, or as "other".
RESULTS: In patients (n = 30) compared with controls (n = 14), more MUs were active (9 vs. 3, P < 0.001) and generated relatively more isolated discharges (35% vs. 10%, P = 0.01). Two or more MUs with isolated discharges occurred more frequently in patients compared with controls (24% vs. <1% of 10-s windows, P < 0.001).
CONCLUSIONS: More frequent occurrence of multiple MUs showing isolated discharges may improve identification of patients with MND.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  amyotrophic lateral sclerosis; electromyography; fasciculations; firing pattern; motor unit discharges

Mesh:

Year:  2015        PMID: 26012503     DOI: 10.1002/mus.24712

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  3 in total

1.  The rise and fall of fasciculations in amyotrophic lateral sclerosis.

Authors:  James A Bashford; Aidan Wickham; Raquel Iniesta; Emmanuel M Drakakis; Martyn G Boutelle; Kerry R Mills; Chris E Shaw
Journal:  Brain Commun       Date:  2020-02-20

2.  The evolving role of surface electromyography in amyotrophic lateral sclerosis: A systematic review.

Authors:  J Bashford; K Mills; C Shaw
Journal:  Clin Neurophysiol       Date:  2019-12-27       Impact factor: 3.708

3.  Preprocessing surface EMG data removes voluntary muscle activity and enhances SPiQE fasciculation analysis.

Authors:  J Bashford; A Wickham; R Iniesta; E Drakakis; M Boutelle; K Mills; C E Shaw
Journal:  Clin Neurophysiol       Date:  2019-11-04       Impact factor: 3.708

  3 in total

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