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Voxel‐Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis
Despite robust postmortem evidence and potential clinical importance of gray matter (GM) pathology in multiple sclerosis (MS), assessing GM damage by conventional magnetic resonance imaging (MRI) remains challenging. This prospective cross‐sectional study aimed at characterizing the topography of GM...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856642/ https://www.ncbi.nlm.nih.gov/pubmed/33155763 http://dx.doi.org/10.1002/hbm.25274 |
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author | Lommers, Emilie Guillemin, Camille Reuter, Gilles Fouarge, Eve Delrue, Gaël Collette, Fabienne Degueldre, Christian Balteau, Evelyne Maquet, Pierre Phillips, Christophe |
author_facet | Lommers, Emilie Guillemin, Camille Reuter, Gilles Fouarge, Eve Delrue, Gaël Collette, Fabienne Degueldre, Christian Balteau, Evelyne Maquet, Pierre Phillips, Christophe |
author_sort | Lommers, Emilie |
collection | PubMed |
description | Despite robust postmortem evidence and potential clinical importance of gray matter (GM) pathology in multiple sclerosis (MS), assessing GM damage by conventional magnetic resonance imaging (MRI) remains challenging. This prospective cross‐sectional study aimed at characterizing the topography of GM microstructural and volumetric alteration in MS using, in addition to brain atrophy measures, three quantitative MRI (qMRI) parameters—magnetization transfer (MT) saturation, longitudinal (R1), and effective transverse (R2*) relaxation rates, derived from data acquired during a single scanning session. Our study involved 35 MS patients (14 relapsing–remitting MS; 21 primary or secondary progressive MS) and 36 age‐matched healthy controls (HC). The qMRI maps were computed and segmented in different tissue classes. Voxel‐based quantification (VBQ) and voxel‐based morphometry (VBM) statistical analyses were carried out using multiple linear regression models. In MS patients compared with HC, three configurations of GM microstructural/volumetric alterations were identified. (a) Co‐localization of GM atrophy with significant reduction of MT, R1, and/or R2*, usually observed in primary cortices. (b) Microstructural modifications without significant GM loss: hippocampus and paralimbic cortices, showing reduced MT and/or R1 values without significant atrophy. (c) Atrophy without significant change in microstructure, identified in deep GM nuclei. In conclusion, this quantitative multiparametric voxel‐based approach reveals three different spatially‐segregated combinations of GM microstructural/volumetric alterations in MS that might be associated with different neuropathology. |
format | Online Article Text |
id | pubmed-7856642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78566422021-02-05 Voxel‐Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis Lommers, Emilie Guillemin, Camille Reuter, Gilles Fouarge, Eve Delrue, Gaël Collette, Fabienne Degueldre, Christian Balteau, Evelyne Maquet, Pierre Phillips, Christophe Hum Brain Mapp Research Articles Despite robust postmortem evidence and potential clinical importance of gray matter (GM) pathology in multiple sclerosis (MS), assessing GM damage by conventional magnetic resonance imaging (MRI) remains challenging. This prospective cross‐sectional study aimed at characterizing the topography of GM microstructural and volumetric alteration in MS using, in addition to brain atrophy measures, three quantitative MRI (qMRI) parameters—magnetization transfer (MT) saturation, longitudinal (R1), and effective transverse (R2*) relaxation rates, derived from data acquired during a single scanning session. Our study involved 35 MS patients (14 relapsing–remitting MS; 21 primary or secondary progressive MS) and 36 age‐matched healthy controls (HC). The qMRI maps were computed and segmented in different tissue classes. Voxel‐based quantification (VBQ) and voxel‐based morphometry (VBM) statistical analyses were carried out using multiple linear regression models. In MS patients compared with HC, three configurations of GM microstructural/volumetric alterations were identified. (a) Co‐localization of GM atrophy with significant reduction of MT, R1, and/or R2*, usually observed in primary cortices. (b) Microstructural modifications without significant GM loss: hippocampus and paralimbic cortices, showing reduced MT and/or R1 values without significant atrophy. (c) Atrophy without significant change in microstructure, identified in deep GM nuclei. In conclusion, this quantitative multiparametric voxel‐based approach reveals three different spatially‐segregated combinations of GM microstructural/volumetric alterations in MS that might be associated with different neuropathology. John Wiley & Sons, Inc. 2020-11-06 /pmc/articles/PMC7856642/ /pubmed/33155763 http://dx.doi.org/10.1002/hbm.25274 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Lommers, Emilie Guillemin, Camille Reuter, Gilles Fouarge, Eve Delrue, Gaël Collette, Fabienne Degueldre, Christian Balteau, Evelyne Maquet, Pierre Phillips, Christophe Voxel‐Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis |
title |
Voxel‐Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis |
title_full |
Voxel‐Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis |
title_fullStr |
Voxel‐Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis |
title_full_unstemmed |
Voxel‐Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis |
title_short |
Voxel‐Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis |
title_sort | voxel‐based quantitative mri reveals spatial patterns of grey matter alteration in multiple sclerosis |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856642/ https://www.ncbi.nlm.nih.gov/pubmed/33155763 http://dx.doi.org/10.1002/hbm.25274 |
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