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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...

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Autores principales: Fouré, Alexandre, Le Troter, Arnaud, Guye, Maxime, Mattei, Jean-Pierre, Bendahan, David, Gondin, Julien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
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.
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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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