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Estimating motor unit numbers from a CMAP scan

Bostock, H; (2016) Estimating motor unit numbers from a CMAP scan. Muscle & Nerve , 53 (6) pp. 889-896. 10.1002/mus.24945. Green open access

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Abstract

INTRODUCTION: Compound muscle action potential (CMAP) scans are detailed stimulus-response curves which provide information about motor unit properties in neuromuscular disorders. This study assessed a method of automatic motor unit number estimation (MUNE) from 5-min CMAP scans. METHODS: A preliminary model, derived from the variance and slope of the scan, is refined to fit the CMAP scan more closely. The method was tested by application to 60 simulated scans, generated from between 5 and 160 motor unit potentials. RESULTS: The fitting procedure took an average of 1.5 min on a standard personal computer. Small unit numbers (5-20) were on average correctly estimated, but large unit numbers (>40) were slightly underestimated. Overall, the absolute MUNE error averaged 6.9%. CONCLUSIONS: This new MUNE method takes all excitable motor units into account and provides realistic estimates of unit numbers over the range 5 to 160. Validation as a clinical tool awaits further study.

Type: Article
Title: Estimating motor unit numbers from a CMAP scan
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/mus.24945
Publisher version: http://dx.doi.org/10.1002/mus.24945
Language: English
Additional information: Copyright © 2015 Wiley Periodicals, Inc. This is the pre-peer reviewed version of the following article: [Bostock, H. (2016), Estimating motor unit numbers from a CMAP scan. Muscle Nerve, 53: 889–896. doi: 10.1002/mus.24945], which has been published in final form at http://dx.doi.org/10.1002/mus.24945. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Keywords: CMAP, MUNE, motor unit potential, muscle, scan
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
URI: https://discovery.ucl.ac.uk/id/eprint/1493560
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