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Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging

Multiple sclerosis is a neurodegenerative and inflammatory disease, a hallmark of which is demyelinating lesions in the white matter. We hypothesized that alterations in white matter microstructures can be non-invasively characterized by advanced diffusion magnetic resonance imaging. Seven diffusion...

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Autores principales: Mustafi, Sourajit M., Harezlak, Jaroslaw, Kodiweera, Chandana, Randolph, Jennifer S., Ford, James C., Wishart, Heather A., Wu, Yu-Chien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262996/
https://www.ncbi.nlm.nih.gov/pubmed/30531085
http://dx.doi.org/10.4103/1673-5374.243716
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author Mustafi, Sourajit M.
Harezlak, Jaroslaw
Kodiweera, Chandana
Randolph, Jennifer S.
Ford, James C.
Wishart, Heather A.
Wu, Yu-Chien
author_facet Mustafi, Sourajit M.
Harezlak, Jaroslaw
Kodiweera, Chandana
Randolph, Jennifer S.
Ford, James C.
Wishart, Heather A.
Wu, Yu-Chien
author_sort Mustafi, Sourajit M.
collection PubMed
description Multiple sclerosis is a neurodegenerative and inflammatory disease, a hallmark of which is demyelinating lesions in the white matter. We hypothesized that alterations in white matter microstructures can be non-invasively characterized by advanced diffusion magnetic resonance imaging. Seven diffusion metrics were extracted from hybrid diffusion imaging acquisitions via classic diffusion tensor imaging, neurite orientation dispersion and density imaging, and q-space imaging. We investigated the sensitivity of the diffusion metrics in 36 sets of regions of interest in the brain white matter of six female patients (age 52.8 ± 4.3 years) with multiple sclerosis. Each region of interest set included a conventional T2-defined lesion, a matched perilesion area, and normal-appearing white matter. Six patients with multiple sclerosis (n = 5) or clinically isolated syndrome (n = 1) at a mild to moderate disability level were recruited. The patients exhibited microstructural alterations from normal-appearing white matter transitioning to perilesion areas and lesions, consistent with decreased tissue restriction, decreased axonal density, and increased classic diffusion tensor imaging diffusivity. The findings suggest that diffusion compartment modeling and q-space analysis appeared to be sensitive for detecting subtle microstructural alterations between perilesion areas and normal-appearing white matter.
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spelling pubmed-62629962019-01-01 Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging Mustafi, Sourajit M. Harezlak, Jaroslaw Kodiweera, Chandana Randolph, Jennifer S. Ford, James C. Wishart, Heather A. Wu, Yu-Chien Neural Regen Res Research Article Multiple sclerosis is a neurodegenerative and inflammatory disease, a hallmark of which is demyelinating lesions in the white matter. We hypothesized that alterations in white matter microstructures can be non-invasively characterized by advanced diffusion magnetic resonance imaging. Seven diffusion metrics were extracted from hybrid diffusion imaging acquisitions via classic diffusion tensor imaging, neurite orientation dispersion and density imaging, and q-space imaging. We investigated the sensitivity of the diffusion metrics in 36 sets of regions of interest in the brain white matter of six female patients (age 52.8 ± 4.3 years) with multiple sclerosis. Each region of interest set included a conventional T2-defined lesion, a matched perilesion area, and normal-appearing white matter. Six patients with multiple sclerosis (n = 5) or clinically isolated syndrome (n = 1) at a mild to moderate disability level were recruited. The patients exhibited microstructural alterations from normal-appearing white matter transitioning to perilesion areas and lesions, consistent with decreased tissue restriction, decreased axonal density, and increased classic diffusion tensor imaging diffusivity. The findings suggest that diffusion compartment modeling and q-space analysis appeared to be sensitive for detecting subtle microstructural alterations between perilesion areas and normal-appearing white matter. Medknow Publications & Media Pvt Ltd 2019-01 /pmc/articles/PMC6262996/ /pubmed/30531085 http://dx.doi.org/10.4103/1673-5374.243716 Text en Copyright: © Neural Regeneration Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Research Article
Mustafi, Sourajit M.
Harezlak, Jaroslaw
Kodiweera, Chandana
Randolph, Jennifer S.
Ford, James C.
Wishart, Heather A.
Wu, Yu-Chien
Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging
title Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging
title_full Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging
title_fullStr Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging
title_full_unstemmed Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging
title_short Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging
title_sort detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262996/
https://www.ncbi.nlm.nih.gov/pubmed/30531085
http://dx.doi.org/10.4103/1673-5374.243716
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