QUT ePrints

Motor unit number estimation using reversible jump Markov chain Monte Carlo methods

Ridall, Peter G., Pettitt, Anthony N., Friel, Nial, McCombe, Pamela A., & Henderson, Robert D. (2007) Motor unit number estimation using reversible jump Markov chain Monte Carlo methods. Journal of the Royal Statistical Society: Series C (Applied Statistics), 56(3), pp. 235-269.

View at publisher

Abstract

We present an application of reversible jump Markov chain Monte Carlo sampling from the field of neurophysiology where we seek to estimate the number of motor units within a single muscle. Such an estimate is needed for monitoring the progression of neuromuscular diseases such as amyotrophic lateral sclerosis. Our data consist of action potentials that were recorded from the surface of a muscle in response to stimuli of different intensities applied to the nerve supplying the muscle. During the gradual increase in intensity of the stimulus from the threshold to supramaximal, all motor units are progressively excited. However, at any given submaximal intensity of stimulus, the number of units that are excited is variable, because of random fluctuations in axonal excitability. Furthermore, the individual motor unit action potentials exhibit variability. To account for these biological properties, Ridall and co-workers developed a model of motor unit activation that is capable of describing the response where the number of motor units, N, is fixed. The purpose of this paper is to extend that model so that the possible number of motor units, N, is a stochastic variable. We illustrate the elements of our model, show that the results are reproducible and show that our model can measure the decline in motor unit numbers during the course of amyotrophic lateral sclerosis. Our method holds promise of being useful in the study of neurogenic diseases.

Impact and interest:

14 citations in Scopus
Search Google Scholar™
10 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

117 since deposited on 05 Sep 2008
32 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 14749
Item Type: Journal Article
Keywords: Alternation, Amyotrophic lateral sclerosis, Markov chain Monte Carlo methods, Motor neurone disease, Motor unit number estimation, Reversible jump
DOI: 10.1111/j.1467-9876.2007.00576.x
ISSN: 0035-9254
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Stochastic Analysis and Modelling (010406)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 Blackwell Publishing
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 05 Sep 2008
Last Modified: 29 Feb 2012 23:40

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page