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Estimating motor unit numbers from a CMAP scan: Repeatability study on three muscles at 15 centres

Lookup NU author(s): Dr Stuart Maitland, Professor Roger Whittaker

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Abstract

© 2023Objective: To assess the repeatability and suitability for multicentre studies of MScanFit motor unit number estimation (MUNE), which involves modelling compound muscle action potential (CMAP) scans. Methods: Fifteen groups in 9 countries recorded CMAP scans twice, 1–2 weeks apart in healthy subjects from abductor pollicis brevis (APB), abductor digiti minimi (ADM) and tibialis anterior (TA) muscles. The original MScanFit program (MScanFit-1) was compared with a revised version (MScanFit-2), designed to accommodate different muscles and recording conditions by setting the minimal motor unit size as a function of maximum CMAP. Results: Complete sets of 6 recordings were obtained from 148 subjects. CMAP amplitudes differed significantly between centres for all muscles, and the same was true for MScanFit-1 MUNE. With MScanFit-2, MUNE differed less between centres but remained significantly different for APB. Coefficients of variation between repeats were 18.0% for ADM, 16.8% for APB, and 12.1% for TA. Conclusions: It is recommended for multicentre studies to use MScanFit-2 for analysis. TA provided the least variable MUNE values between subjects and the most repeatable within subjects. Significance: MScanFit was primarily devised to model the discontinuities in CMAP scans in patients and is less suitable for healthy subjects with smooth scans.

Publication metadata

Author(s): Sorensen DM, Bostock H, Abrahao A, Alaamel A, Alaydin HC, Ballegaard M, Boran E, Cengiz B, de Carvalho M, Dunker O, Fuglsang-Frederiksen A, Graffe CC, Jones KE, Kallio M, Kalra S, Krarup C, Kroigard T, Liguori R, Lupescu T, Maitland S, Matamala JM, Moldovan M, Moreno-Roco J, Nilsen KB, Phung L, Santos MO, Themistocleous AC, Uysal H, Vacchiano V, Whittaker RG, Zinman L, Tankisi H

Publication type: Article

Publication status: Published

Journal: Clinical Neurophysiology

Year: 2023

Volume: 151

Pages: 92-99

Print publication date: 01/07/2023

Online publication date: 08/05/2023

Acceptance date: 15/04/2023

ISSN (print): 1388-2457

ISSN (electronic): 1872-8952

Publisher: Elsevier Ireland Ltd

URL: https://doi.org/10.1016/j.clinph.2023.04.008

DOI: 10.1016/j.clinph.2023.04.008

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