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Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation
In the present study, we proposed an original and robust methodology which combines the spatial normalization of skeletal muscle images, the statistical parametric mapping (SPM) analysis and the use of a specific parcellation in order to accurately localize and quantify the extent of skeletal muscle...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4686971/ https://www.ncbi.nlm.nih.gov/pubmed/26689827 http://dx.doi.org/10.1038/srep18580 |
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author | Fouré, Alexandre Le Troter, Arnaud Guye, Maxime Mattei, Jean-Pierre Bendahan, David Gondin, Julien |
author_facet | Fouré, Alexandre Le Troter, Arnaud Guye, Maxime Mattei, Jean-Pierre Bendahan, David Gondin, Julien |
author_sort | Fouré, Alexandre |
collection | PubMed |
description | In the present study, we proposed an original and robust methodology which combines the spatial normalization of skeletal muscle images, the statistical parametric mapping (SPM) analysis and the use of a specific parcellation in order to accurately localize and quantify the extent of skeletal muscle damage within the four heads of the quadriceps femoris. T(2) maps of thigh muscles were characterized before, two (D2) and four (D4) days after 40 maximal isometric electrically-evoked contractions in 25 healthy young males. On the basis of SPM analysis of coregistrated T(2) maps, the alterations were similarly detected at D2 and D4 in the superficial and distal regions of the vastus medialis (VM) whereas the proportion of altered muscle was higher in deep muscle regions of the vastus lateralis at D4 (deep: 35 ± 25%, superficial: 23 ± 15%) as compared to D2 (deep: 18 ± 13%, superficial: 17 ± 13%). The present methodology used for the first time on skeletal muscle would be of utmost interest to detect subtle intramuscular alterations not only for the diagnosis of muscular diseases but also for assessing the efficacy of potential therapeutic interventions and clinical treatment strategies. |
format | Online Article Text |
id | pubmed-4686971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46869712015-12-31 Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation Fouré, Alexandre Le Troter, Arnaud Guye, Maxime Mattei, Jean-Pierre Bendahan, David Gondin, Julien Sci Rep Article In the present study, we proposed an original and robust methodology which combines the spatial normalization of skeletal muscle images, the statistical parametric mapping (SPM) analysis and the use of a specific parcellation in order to accurately localize and quantify the extent of skeletal muscle damage within the four heads of the quadriceps femoris. T(2) maps of thigh muscles were characterized before, two (D2) and four (D4) days after 40 maximal isometric electrically-evoked contractions in 25 healthy young males. On the basis of SPM analysis of coregistrated T(2) maps, the alterations were similarly detected at D2 and D4 in the superficial and distal regions of the vastus medialis (VM) whereas the proportion of altered muscle was higher in deep muscle regions of the vastus lateralis at D4 (deep: 35 ± 25%, superficial: 23 ± 15%) as compared to D2 (deep: 18 ± 13%, superficial: 17 ± 13%). The present methodology used for the first time on skeletal muscle would be of utmost interest to detect subtle intramuscular alterations not only for the diagnosis of muscular diseases but also for assessing the efficacy of potential therapeutic interventions and clinical treatment strategies. Nature Publishing Group 2015-12-22 /pmc/articles/PMC4686971/ /pubmed/26689827 http://dx.doi.org/10.1038/srep18580 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Fouré, Alexandre Le Troter, Arnaud Guye, Maxime Mattei, Jean-Pierre Bendahan, David Gondin, Julien Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation |
title | Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation |
title_full | Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation |
title_fullStr | Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation |
title_full_unstemmed | Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation |
title_short | Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation |
title_sort | localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4686971/ https://www.ncbi.nlm.nih.gov/pubmed/26689827 http://dx.doi.org/10.1038/srep18580 |
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