Literature DB >> 30287192

The utility of motor unit number index: A systematic review.

Farzad Fatehi1, Aude-Marie Grapperon2, Davood Fathi3, Emilien Delmont2, Shahram Attarian4.   

Abstract

The need for a valid biomarker for assessing disease progression and for use in clinical trials on amyotrophic lateral sclerosis (ALS) has stimulated the study of methods that could measure the number of motor units. Motor unit number index (MUNIX) is a newly developed neurophysiological technique that was demonstrated to have a good correlation with the number of motor units in a given muscle, even though it does not necessarily accurately express the actual number of viable motor neurons. Several studies demonstrated the technique is reproducible and capable of following motor neuron loss in patients with ALS and peripheral polyneuropathies. The main goal of this review was to conduct an extensive review of the literature using MUNIX. We conducted a systematic search in English medical literature published in two databases (PubMed and SCOPUS). In this review, we aimed to answer the following queries: Comparison of MUNIX with other MUNE techniques; the reproducibility of MUNIX; the utility of MUNIX in ALS and preclinical muscles, peripheral neuropathies, and other neurological disorders.
Copyright © 2018. Published by Elsevier Masson SAS.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Anti-MAG neuropathy; Charcot-Marie-Tooth disease; Chronic inflammatory demyelinating polyneuropathy; Multifocal motor neuropathy

Mesh:

Year:  2018        PMID: 30287192     DOI: 10.1016/j.neucli.2018.09.001

Source DB:  PubMed          Journal:  Neurophysiol Clin        ISSN: 0987-7053            Impact factor:   3.734


  4 in total

Review 1.  An overview of motor unit number index reproducibility in amyotrophic lateral sclerosis.

Authors:  Davood Fathi; Shahriar Nafissi; Shahram Attarian; Christoph Neuwirth; Farzad Fatehi
Journal:  Iran J Neurol       Date:  2019-07-06

2.  Motor unit number index (MUNIX) in the D50 disease progression model reflects disease accumulation independently of disease aggressiveness in ALS.

Authors:  Theresa Ebersbach; Annekathrin Roediger; Robert Steinbach; Martin Appelfeller; Anke Tuemmler; Beatrice Stubendorff; Simon Schuster; Meret Herdick; Hubertus Axer; Otto W Witte; Julian Grosskreutz
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

3.  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

4.  Model-Based Analysis of Muscle Strength and EMG-Force Relation with respect to Different Patterns of Motor Unit Loss.

Authors:  Chengjun Huang; Maoqi Chen; Yingchun Zhang; Sheng Li; Ping Zhou
Journal:  Neural Plast       Date:  2021-06-22       Impact factor: 3.599

  4 in total

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