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Distribution of Cortical Diffusion Tensor Imaging Changes in Multiple Sclerosis

PURPOSE: Diffuse cortical damage in relapsing–remitting multiple sclerosis (RRMS) is clinically relevant but cannot be directly assessed with conventional MRI. In this study, it was aimed to use diffusion tensor imaging (DTI) techniques with optimized intrinsic eddy current compensation to quantify...

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Autores principales: Stock, Benjamin, Shrestha, Manoj, Seiler, Alexander, Foerch, Christian, Hattingen, Elke, Steinmetz, Helmuth, Deichmann, Ralf, Wagner, Marlies, Gracien, René-Maxime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083109/
https://www.ncbi.nlm.nih.gov/pubmed/32231581
http://dx.doi.org/10.3389/fphys.2020.00116
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author Stock, Benjamin
Shrestha, Manoj
Seiler, Alexander
Foerch, Christian
Hattingen, Elke
Steinmetz, Helmuth
Deichmann, Ralf
Wagner, Marlies
Gracien, René-Maxime
author_facet Stock, Benjamin
Shrestha, Manoj
Seiler, Alexander
Foerch, Christian
Hattingen, Elke
Steinmetz, Helmuth
Deichmann, Ralf
Wagner, Marlies
Gracien, René-Maxime
author_sort Stock, Benjamin
collection PubMed
description PURPOSE: Diffuse cortical damage in relapsing–remitting multiple sclerosis (RRMS) is clinically relevant but cannot be directly assessed with conventional MRI. In this study, it was aimed to use diffusion tensor imaging (DTI) techniques with optimized intrinsic eddy current compensation to quantify and characterize cortical mean diffusivity (MD) and fractional anisotropy (FA) changes in RRMS and to analyze the distribution of these changes across the cortex. MATERIALS AND METHODS: Three-Tesla MRI acquisition, mapping of the MD providing information about the integrity of microstructural barriers and of the FA reflecting axonal density and surface-based analysis with Freesurfer were performed for 24 RRMS patients and 25 control subjects. RESULTS: Across the whole cortex, MD was increased in patients (p < 0.001), while surface-based analysis revealed focal cortical FA decreases. MD and FA changes were distributed inhomogeneously across the cortex, the MD increase being more widespread than the FA decrease. Cortical MD correlated with the Expanded Disability Status Scale (EDSS, r = 0.38, p = 0.03). CONCLUSION: Damage of microstructural barriers occurs inhomogeneously across the cortex in RRMS and might be spatially more widespread than axonal degeneration. The results and, in particular, the correlation with the clinical status indicate that DTI might be a promising technique for the monitoring of cortical damage under treatment in larger clinical studies.
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spelling pubmed-70831092020-03-30 Distribution of Cortical Diffusion Tensor Imaging Changes in Multiple Sclerosis Stock, Benjamin Shrestha, Manoj Seiler, Alexander Foerch, Christian Hattingen, Elke Steinmetz, Helmuth Deichmann, Ralf Wagner, Marlies Gracien, René-Maxime Front Physiol Physiology PURPOSE: Diffuse cortical damage in relapsing–remitting multiple sclerosis (RRMS) is clinically relevant but cannot be directly assessed with conventional MRI. In this study, it was aimed to use diffusion tensor imaging (DTI) techniques with optimized intrinsic eddy current compensation to quantify and characterize cortical mean diffusivity (MD) and fractional anisotropy (FA) changes in RRMS and to analyze the distribution of these changes across the cortex. MATERIALS AND METHODS: Three-Tesla MRI acquisition, mapping of the MD providing information about the integrity of microstructural barriers and of the FA reflecting axonal density and surface-based analysis with Freesurfer were performed for 24 RRMS patients and 25 control subjects. RESULTS: Across the whole cortex, MD was increased in patients (p < 0.001), while surface-based analysis revealed focal cortical FA decreases. MD and FA changes were distributed inhomogeneously across the cortex, the MD increase being more widespread than the FA decrease. Cortical MD correlated with the Expanded Disability Status Scale (EDSS, r = 0.38, p = 0.03). CONCLUSION: Damage of microstructural barriers occurs inhomogeneously across the cortex in RRMS and might be spatially more widespread than axonal degeneration. The results and, in particular, the correlation with the clinical status indicate that DTI might be a promising technique for the monitoring of cortical damage under treatment in larger clinical studies. Frontiers Media S.A. 2020-03-13 /pmc/articles/PMC7083109/ /pubmed/32231581 http://dx.doi.org/10.3389/fphys.2020.00116 Text en Copyright © 2020 Stock, Shrestha, Seiler, Foerch, Hattingen, Steinmetz, Deichmann, Wagner and Gracien. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Stock, Benjamin
Shrestha, Manoj
Seiler, Alexander
Foerch, Christian
Hattingen, Elke
Steinmetz, Helmuth
Deichmann, Ralf
Wagner, Marlies
Gracien, René-Maxime
Distribution of Cortical Diffusion Tensor Imaging Changes in Multiple Sclerosis
title Distribution of Cortical Diffusion Tensor Imaging Changes in Multiple Sclerosis
title_full Distribution of Cortical Diffusion Tensor Imaging Changes in Multiple Sclerosis
title_fullStr Distribution of Cortical Diffusion Tensor Imaging Changes in Multiple Sclerosis
title_full_unstemmed Distribution of Cortical Diffusion Tensor Imaging Changes in Multiple Sclerosis
title_short Distribution of Cortical Diffusion Tensor Imaging Changes in Multiple Sclerosis
title_sort distribution of cortical diffusion tensor imaging changes in multiple sclerosis
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083109/
https://www.ncbi.nlm.nih.gov/pubmed/32231581
http://dx.doi.org/10.3389/fphys.2020.00116
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