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A lumped stiffness model of intermuscular and extramuscular myofascial pathways of force transmission
Mechanical behavior of skeletal muscles is commonly modeled under the assumption of mechanical independence between individual muscles within a muscle group. Epimuscular myofascial force transmission via the connective tissue network surrounding a muscle challenges this assumption as it alters the f...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106516/ https://www.ncbi.nlm.nih.gov/pubmed/27193153 http://dx.doi.org/10.1007/s10237-016-0795-0 |
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author | Bernabei, Michel Maas, Huub van Dieën, Jaap H. |
author_facet | Bernabei, Michel Maas, Huub van Dieën, Jaap H. |
author_sort | Bernabei, Michel |
collection | PubMed |
description | Mechanical behavior of skeletal muscles is commonly modeled under the assumption of mechanical independence between individual muscles within a muscle group. Epimuscular myofascial force transmission via the connective tissue network surrounding a muscle challenges this assumption as it alters the force distributed to the tendons of individual muscles. This study aimed to derive a lumped estimate of stiffness of the intermuscular and extramuscular connective tissues and to assess changes in such stiffness in response to a manipulation of the interface between adjacent muscles. Based on in situ measurements of force transmission in the rat plantar flexors, before and after resection of their connective tissue network, a nonlinear estimate of epimuscular myofascial stiffness was quantified and included in a multi-muscle model with lumped parameters which allows for force transmission depending on the relative position between the muscles in the group. Such stiffness estimate was assessed for a group with normal intermuscular connective tissues and for a group with increased connectivity, mimicking scar tissue development. The model was able to successfully predict the amount of epimuscular force transmission for different experimental conditions than those used to obtain the model parameters. The proposed nonlinear stiffness estimates of epimuscular pathways could be integrated in larger musculoskeletal models, to provide more accurate predictions of force when effects of mechanical interaction or altered epimuscular connections, e.g. after surgery or injury, are substantial. |
format | Online Article Text |
id | pubmed-5106516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-51065162016-11-29 A lumped stiffness model of intermuscular and extramuscular myofascial pathways of force transmission Bernabei, Michel Maas, Huub van Dieën, Jaap H. Biomech Model Mechanobiol Original Paper Mechanical behavior of skeletal muscles is commonly modeled under the assumption of mechanical independence between individual muscles within a muscle group. Epimuscular myofascial force transmission via the connective tissue network surrounding a muscle challenges this assumption as it alters the force distributed to the tendons of individual muscles. This study aimed to derive a lumped estimate of stiffness of the intermuscular and extramuscular connective tissues and to assess changes in such stiffness in response to a manipulation of the interface between adjacent muscles. Based on in situ measurements of force transmission in the rat plantar flexors, before and after resection of their connective tissue network, a nonlinear estimate of epimuscular myofascial stiffness was quantified and included in a multi-muscle model with lumped parameters which allows for force transmission depending on the relative position between the muscles in the group. Such stiffness estimate was assessed for a group with normal intermuscular connective tissues and for a group with increased connectivity, mimicking scar tissue development. The model was able to successfully predict the amount of epimuscular force transmission for different experimental conditions than those used to obtain the model parameters. The proposed nonlinear stiffness estimates of epimuscular pathways could be integrated in larger musculoskeletal models, to provide more accurate predictions of force when effects of mechanical interaction or altered epimuscular connections, e.g. after surgery or injury, are substantial. Springer Berlin Heidelberg 2016-05-18 2016 /pmc/articles/PMC5106516/ /pubmed/27193153 http://dx.doi.org/10.1007/s10237-016-0795-0 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper Bernabei, Michel Maas, Huub van Dieën, Jaap H. A lumped stiffness model of intermuscular and extramuscular myofascial pathways of force transmission |
title | A lumped stiffness model of intermuscular and extramuscular myofascial pathways of force transmission |
title_full | A lumped stiffness model of intermuscular and extramuscular myofascial pathways of force transmission |
title_fullStr | A lumped stiffness model of intermuscular and extramuscular myofascial pathways of force transmission |
title_full_unstemmed | A lumped stiffness model of intermuscular and extramuscular myofascial pathways of force transmission |
title_short | A lumped stiffness model of intermuscular and extramuscular myofascial pathways of force transmission |
title_sort | lumped stiffness model of intermuscular and extramuscular myofascial pathways of force transmission |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106516/ https://www.ncbi.nlm.nih.gov/pubmed/27193153 http://dx.doi.org/10.1007/s10237-016-0795-0 |
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