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Title of Journal: Exp Brain Res

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Abbravation: Experimental Brain Research

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Springer Berlin Heidelberg

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DOI

10.1007/bf01152399

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1432-1106

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Motor unit number in a small facial muscle Empha

Authors: Nilam PatelKhurana Ralph F Fregosi
Publish Date: 2015/07/14
Volume: 233, Issue: 10, Pages: 2897-2902
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Abstract

A loss of functioning motor units underlies many neuromuscular disorders The facial nerve innervates the muscles of facial expression including nasal muscles which also play an important role in the regulation of airflow resistance It is difficult to accurately assess motor unit number in the facial muscles because the muscles are difficult to activate in isolation Here we apply the manual McComas method to estimate the number of motor units in a nasal dilator muscle EMG of the dilator naris was recorded during graded stimulation of the zygomatic branch of the facial nerve in 26 subjects 12 males and 14 females aged 20–41 years Each subject was studied twice on separate days to estimate method reproducibility As a check on our use of the McComas method we also estimated motor unit number in the first dorsal interosseus muscle FDI of six subjects as the muscle is also small and has been studied with the McComas method Reproducibility was evaluated with a rigorous statistical approach the Bland–Altman procedure We estimate that dilator naris is composed of 75 ± 156 SD motor units compared to 144 ± 355 in FDI The coefficient of variation for test–retest reproducibility of dilator naris motor unit estimates was 296  similar to separateday reproducibility reported for other muscles Recording and stimulation were done with surface electrodes and the recordings were of high quality and reproducible This simple technique could be applied clinically to track motor neuron loss and to monitor facial nerve integrityWe thank Alan McComas MD for advice with the method and interpretation of the data E Fiona Bailey PhD for a critical evaluation of the manuscript and Elik Essif MS for technical support These studies were supported by NIH Grant HL 51056

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