Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated Syndrome

Background and purpose: Whether some gray matter (GM) regions are differentially vulnerable at the early stages of MS is still unknown. The objective of this study is to investigate whether deep and cortical GM are differentially vulnerable after a clinically isolated syndrome (CIS) suggestive of mu...

Full description

Bibliographic Details
Main Authors: Ismail Koubiyr, Mathilde Deloire, Pierrick Coupé, Cécile Dulau, Pierre Besson, Amandine Moroso, Vincent Planche, Thomas Tourdias, Bruno Brochet, Aurélie Ruet
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2018.00824/full
_version_ 1819208137932013568
author Ismail Koubiyr
Ismail Koubiyr
Mathilde Deloire
Pierrick Coupé
Cécile Dulau
Pierre Besson
Amandine Moroso
Amandine Moroso
Vincent Planche
Vincent Planche
Vincent Planche
Thomas Tourdias
Thomas Tourdias
Thomas Tourdias
Bruno Brochet
Bruno Brochet
Bruno Brochet
Aurélie Ruet
Aurélie Ruet
Aurélie Ruet
author_facet Ismail Koubiyr
Ismail Koubiyr
Mathilde Deloire
Pierrick Coupé
Cécile Dulau
Pierre Besson
Amandine Moroso
Amandine Moroso
Vincent Planche
Vincent Planche
Vincent Planche
Thomas Tourdias
Thomas Tourdias
Thomas Tourdias
Bruno Brochet
Bruno Brochet
Bruno Brochet
Aurélie Ruet
Aurélie Ruet
Aurélie Ruet
author_sort Ismail Koubiyr
collection DOAJ
description Background and purpose: Whether some gray matter (GM) regions are differentially vulnerable at the early stages of MS is still unknown. The objective of this study is to investigate whether deep and cortical GM are differentially vulnerable after a clinically isolated syndrome (CIS) suggestive of multiple sclerosis (MS).Methods: Fifty-six patients with CIS (PwCIS) and 38 healthy controls (HC) had conventional and diffusion tensor imaging (DTI) at baseline and 46 PwCIS and 20 HC were rescanned after 1 year. Deep GM (DGM) volumes, cortical thickness (CTh), and DTI metrics (FA: fractional anisotropy; MD: mean diffusivity) within these structures were calculated for each participant at each time-point and compared between PwCIS and HC. Linear regression models were used to investigate whether baseline DTI parameters could predict GM volume loss over time.Results: At baseline, GM volumes did not differ between PwCIS and HC, but hippocampal MD was higher in PwCIS than HC (p < 0.01). Over 1 year, GM alterations became more widespread with putamen and hippocampus volumes decreasing in PwCIS (p < 0.01), and cortical thinning in different parts of the cortex along with a significant increase of MD. Hippocampus MD at baseline could predict its volume loss (R2 = 0.159; p < 0.05) and cortical thinning was associated to microstructural damage (Spearman's rho ranging from −0.424 to −0.603 with p < 0.003).Conclusion: Along with MS being a diffuse inflammatory disease, GM showed a differential vulnerability at the early stage spreading from hippocampus to the cortex. Hippocampus volume loss could be predicted by its MD at baseline.
first_indexed 2024-12-23T05:34:37Z
format Article
id doaj.art-b842cae0957c428e947be288ae2c7610
institution Directory Open Access Journal
issn 1664-2295
language English
last_indexed 2024-12-23T05:34:37Z
publishDate 2018-10-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Neurology
spelling doaj.art-b842cae0957c428e947be288ae2c76102022-12-21T17:58:23ZengFrontiers Media S.A.Frontiers in Neurology1664-22952018-10-01910.3389/fneur.2018.00824415429Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated SyndromeIsmail Koubiyr0Ismail Koubiyr1Mathilde Deloire2Pierrick Coupé3Cécile Dulau4Pierre Besson5Amandine Moroso6Amandine Moroso7Vincent Planche8Vincent Planche9Vincent Planche10Thomas Tourdias11Thomas Tourdias12Thomas Tourdias13Bruno Brochet14Bruno Brochet15Bruno Brochet16Aurélie Ruet17Aurélie Ruet18Aurélie Ruet19Univ. Bordeaux, Bordeaux, FranceInserm U1215 - Neurocentre Magendie, Bordeaux, FranceCHU de Bordeaux, Bordeaux, FranceLaboratoire Bordelais de Recherche en Informatique, UMR CNRS 5800, PICTURA, Talence, FranceCHU de Bordeaux, Bordeaux, FranceAixMarseille Univ, CNRS, CRMBM UMR 7339, Marseille, FranceUniv. Bordeaux, Bordeaux, FranceCHU de Bordeaux, Bordeaux, FranceUniv. Bordeaux, Bordeaux, FranceInserm U1215 - Neurocentre Magendie, Bordeaux, FranceCHU de Bordeaux, Bordeaux, FranceUniv. Bordeaux, Bordeaux, FranceInserm U1215 - Neurocentre Magendie, Bordeaux, FranceCHU de Bordeaux, Bordeaux, FranceUniv. Bordeaux, Bordeaux, FranceInserm U1215 - Neurocentre Magendie, Bordeaux, FranceCHU de Bordeaux, Bordeaux, FranceUniv. Bordeaux, Bordeaux, FranceInserm U1215 - Neurocentre Magendie, Bordeaux, FranceCHU de Bordeaux, Bordeaux, FranceBackground and purpose: Whether some gray matter (GM) regions are differentially vulnerable at the early stages of MS is still unknown. The objective of this study is to investigate whether deep and cortical GM are differentially vulnerable after a clinically isolated syndrome (CIS) suggestive of multiple sclerosis (MS).Methods: Fifty-six patients with CIS (PwCIS) and 38 healthy controls (HC) had conventional and diffusion tensor imaging (DTI) at baseline and 46 PwCIS and 20 HC were rescanned after 1 year. Deep GM (DGM) volumes, cortical thickness (CTh), and DTI metrics (FA: fractional anisotropy; MD: mean diffusivity) within these structures were calculated for each participant at each time-point and compared between PwCIS and HC. Linear regression models were used to investigate whether baseline DTI parameters could predict GM volume loss over time.Results: At baseline, GM volumes did not differ between PwCIS and HC, but hippocampal MD was higher in PwCIS than HC (p < 0.01). Over 1 year, GM alterations became more widespread with putamen and hippocampus volumes decreasing in PwCIS (p < 0.01), and cortical thinning in different parts of the cortex along with a significant increase of MD. Hippocampus MD at baseline could predict its volume loss (R2 = 0.159; p < 0.05) and cortical thinning was associated to microstructural damage (Spearman's rho ranging from −0.424 to −0.603 with p < 0.003).Conclusion: Along with MS being a diffuse inflammatory disease, GM showed a differential vulnerability at the early stage spreading from hippocampus to the cortex. Hippocampus volume loss could be predicted by its MD at baseline.https://www.frontiersin.org/article/10.3389/fneur.2018.00824/fullmultiple sclerosisMRIdiffusion tensor imaginggray matteratrophyclinically isolated syndrome
spellingShingle Ismail Koubiyr
Ismail Koubiyr
Mathilde Deloire
Pierrick Coupé
Cécile Dulau
Pierre Besson
Amandine Moroso
Amandine Moroso
Vincent Planche
Vincent Planche
Vincent Planche
Thomas Tourdias
Thomas Tourdias
Thomas Tourdias
Bruno Brochet
Bruno Brochet
Bruno Brochet
Aurélie Ruet
Aurélie Ruet
Aurélie Ruet
Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated Syndrome
Frontiers in Neurology
multiple sclerosis
MRI
diffusion tensor imaging
gray matter
atrophy
clinically isolated syndrome
title Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated Syndrome
title_full Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated Syndrome
title_fullStr Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated Syndrome
title_full_unstemmed Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated Syndrome
title_short Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated Syndrome
title_sort differential gray matter vulnerability in the 1 year following a clinically isolated syndrome
topic multiple sclerosis
MRI
diffusion tensor imaging
gray matter
atrophy
clinically isolated syndrome
url https://www.frontiersin.org/article/10.3389/fneur.2018.00824/full
work_keys_str_mv AT ismailkoubiyr differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT ismailkoubiyr differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT mathildedeloire differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT pierrickcoupe differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT ceciledulau differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT pierrebesson differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT amandinemoroso differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT amandinemoroso differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT vincentplanche differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT vincentplanche differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT vincentplanche differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT thomastourdias differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT thomastourdias differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT thomastourdias differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT brunobrochet differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT brunobrochet differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT brunobrochet differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT aurelieruet differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT aurelieruet differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome
AT aurelieruet differentialgraymattervulnerabilityinthe1yearfollowingaclinicallyisolatedsyndrome