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Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis (ALS) is a late-onset fatal neurodegenerative disease that causes progressive degeneration of motor neurons in the brain and the spinal cord. Corticospinal tract degeneration is a defining feature of ALS. However, there have been very few longitudinal, controlled studie...

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Autores principales: Pisharady, Pramod Kumar, Eberly, Lynn E., Cheong, Ian, Manousakis, Georgios, Guliani, Gaurav, Clark, H. Brent, Bathe, Mark, Walk, David, Lenglet, Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351722/
https://www.ncbi.nlm.nih.gov/pubmed/32651439
http://dx.doi.org/10.1038/s42003-020-1093-z
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author Pisharady, Pramod Kumar
Eberly, Lynn E.
Cheong, Ian
Manousakis, Georgios
Guliani, Gaurav
Clark, H. Brent
Bathe, Mark
Walk, David
Lenglet, Christophe
author_facet Pisharady, Pramod Kumar
Eberly, Lynn E.
Cheong, Ian
Manousakis, Georgios
Guliani, Gaurav
Clark, H. Brent
Bathe, Mark
Walk, David
Lenglet, Christophe
author_sort Pisharady, Pramod Kumar
collection PubMed
description Amyotrophic lateral sclerosis (ALS) is a late-onset fatal neurodegenerative disease that causes progressive degeneration of motor neurons in the brain and the spinal cord. Corticospinal tract degeneration is a defining feature of ALS. However, there have been very few longitudinal, controlled studies assessing diffusion MRI (dMRI) metrics in different fiber tracts along the spinal cord in general or the corticospinal tract in particular. Here we demonstrate that a tract-specific analysis, with segmentation of ascending and descending tracts in the spinal cord white matter, substantially increases the sensitivity of dMRI to disease-related changes in ALS. Our work also identifies the tracts and spinal levels affected in ALS, supporting electrophysiologic and pathologic evidence of involvement of sensory pathways in ALS. We note changes in diffusion metrics and cord cross-sectional area, with enhanced sensitivity to disease effects through a multimodal analysis, and with strong correlations between these metrics and spinal components of ALSFRS-R.
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spelling pubmed-73517222020-07-13 Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis Pisharady, Pramod Kumar Eberly, Lynn E. Cheong, Ian Manousakis, Georgios Guliani, Gaurav Clark, H. Brent Bathe, Mark Walk, David Lenglet, Christophe Commun Biol Article Amyotrophic lateral sclerosis (ALS) is a late-onset fatal neurodegenerative disease that causes progressive degeneration of motor neurons in the brain and the spinal cord. Corticospinal tract degeneration is a defining feature of ALS. However, there have been very few longitudinal, controlled studies assessing diffusion MRI (dMRI) metrics in different fiber tracts along the spinal cord in general or the corticospinal tract in particular. Here we demonstrate that a tract-specific analysis, with segmentation of ascending and descending tracts in the spinal cord white matter, substantially increases the sensitivity of dMRI to disease-related changes in ALS. Our work also identifies the tracts and spinal levels affected in ALS, supporting electrophysiologic and pathologic evidence of involvement of sensory pathways in ALS. We note changes in diffusion metrics and cord cross-sectional area, with enhanced sensitivity to disease effects through a multimodal analysis, and with strong correlations between these metrics and spinal components of ALSFRS-R. Nature Publishing Group UK 2020-07-10 /pmc/articles/PMC7351722/ /pubmed/32651439 http://dx.doi.org/10.1038/s42003-020-1093-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Pisharady, Pramod Kumar
Eberly, Lynn E.
Cheong, Ian
Manousakis, Georgios
Guliani, Gaurav
Clark, H. Brent
Bathe, Mark
Walk, David
Lenglet, Christophe
Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis
title Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis
title_full Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis
title_fullStr Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis
title_full_unstemmed Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis
title_short Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis
title_sort tract-specific analysis improves sensitivity of spinal cord diffusion mri to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351722/
https://www.ncbi.nlm.nih.gov/pubmed/32651439
http://dx.doi.org/10.1038/s42003-020-1093-z
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