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Estimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders

BACKGROUND: In clinical neurophysiology, threshold tracking studies are used to evaluate the functionality of a muscle through studying the functionality of its motor units (MUs) that govern the muscle. The functionality of an MU can be quantified by estimation of its excitability properties via MU&...

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Autores principales: Azadi, Nammam Ali, Roshani, Daem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606576/
https://www.ncbi.nlm.nih.gov/pubmed/26539366
http://dx.doi.org/10.4103/2229-516X.165380
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author Azadi, Nammam Ali
Roshani, Daem
author_facet Azadi, Nammam Ali
Roshani, Daem
author_sort Azadi, Nammam Ali
collection PubMed
description BACKGROUND: In clinical neurophysiology, threshold tracking studies are used to evaluate the functionality of a muscle through studying the functionality of its motor units (MUs) that govern the muscle. The functionality of an MU can be quantified by estimation of its excitability properties via MU's stimulus-response curve. In this study, we aim to develop a model-based approach to estimate MU's threshold mean and its activation range as indications of MU's excitability. This is a different approach from routine strategies in neurophysiology, which are mostly subjective. METHODS: To assess the excitability of a single MU, needle electromyography examination was used to obtain the axonal activity of that MU. To improve estimation, the examination was repeated several times on individuals. Replication of experiment introduces serial correlation between observations. We account for this correlation by using a mixed-effects model. We investigate the appropriateness of classical logistic mixed-effects model and its Bayesian formulation for estimation purpose. RESULTS: Both classical and Bayesian models can obtain a reliable estimation of MU's threshold. However, we found Bayesian approach to provide a better estimate of MU's activation range. Moreover, if data contain outliers both classical and Bayesian methods are vulnerable to some extent. CONCLUSIONS: Compared to the classical approach, Bayesian method is more flexible in dealing with overdispersion and provides more robust estimation of MU's parameters.
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spelling pubmed-46065762015-11-04 Estimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders Azadi, Nammam Ali Roshani, Daem Int J Appl Basic Med Res Original Article BACKGROUND: In clinical neurophysiology, threshold tracking studies are used to evaluate the functionality of a muscle through studying the functionality of its motor units (MUs) that govern the muscle. The functionality of an MU can be quantified by estimation of its excitability properties via MU's stimulus-response curve. In this study, we aim to develop a model-based approach to estimate MU's threshold mean and its activation range as indications of MU's excitability. This is a different approach from routine strategies in neurophysiology, which are mostly subjective. METHODS: To assess the excitability of a single MU, needle electromyography examination was used to obtain the axonal activity of that MU. To improve estimation, the examination was repeated several times on individuals. Replication of experiment introduces serial correlation between observations. We account for this correlation by using a mixed-effects model. We investigate the appropriateness of classical logistic mixed-effects model and its Bayesian formulation for estimation purpose. RESULTS: Both classical and Bayesian models can obtain a reliable estimation of MU's threshold. However, we found Bayesian approach to provide a better estimate of MU's activation range. Moreover, if data contain outliers both classical and Bayesian methods are vulnerable to some extent. CONCLUSIONS: Compared to the classical approach, Bayesian method is more flexible in dealing with overdispersion and provides more robust estimation of MU's parameters. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4606576/ /pubmed/26539366 http://dx.doi.org/10.4103/2229-516X.165380 Text en Copyright: © 2015 International Journal of Applied and Basic Medical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Azadi, Nammam Ali
Roshani, Daem
Estimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders
title Estimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders
title_full Estimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders
title_fullStr Estimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders
title_full_unstemmed Estimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders
title_short Estimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders
title_sort estimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606576/
https://www.ncbi.nlm.nih.gov/pubmed/26539366
http://dx.doi.org/10.4103/2229-516X.165380
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