Literature DB >> 19286193

Voxel-wise assessment of progression of regional brain atrophy in relapsing-remitting multiple sclerosis.

Marco Battaglini1, Antonio Giorgio, Maria L Stromillo, Maria L Bartolozzi, Leonello Guidi, Antonio Federico, Nicola De Stefano.   

Abstract

OBJECTIVE: To perform voxel-wise assessments of regional brain atrophy state and rate in subjects with relapsing-remitting (RR) multiple sclerosis (MS).
BACKGROUND: Recently, attention has focused on defining the tissue compartments and regions within which brain atrophy occurs. These regional measures of brain volume changes may help to better define the nature of the pathology underlying MS. In this context, specific regional measures of grey matter (GM) volume changes can be obtained by using the voxel-based morphometry (VBM) approach.
METHODS: Fifty-nine subjects with RR MS underwent conventional MRI at baseline and after a mean follow-up period of 3 years. Cross-sectionally, two VBM analyses (SPM-VBM, based on the Statistical Parametric Mapping software package, and FSL-VBM, based on the FMRIB Software Library tools) were performed to assess cortical GM volumes in RR MS patients compared to 25 age- and sex-matched normal controls (NC). Longitudinally, FSL-VBM and the regional extension of the SIENA method (SIENAr) were both used to assess regional brain atrophy rate in the RR MS patients and its relationship with increases in T(2)-weighted white matter (WM) lesion volume over the follow-up period.
RESULTS: Widespread decrease in cortical GM volume was found in the RR MS patients compared to NC. Both SPM-VBM and FSL-VBM showed similar involvement of cortical regions (frontal, temporal, parietal, occipital lobes and insula), with a close correlation between the numbers of significant voxels obtained with the two different procedures (r=0.73, p<0.001). After 3-year follow-up, both FSL-VBM and SIENAr showed a further significant reduction in GM volume in the lateral frontal and parietal cortices, bilaterally. Regional volume changes also appeared significantly pronounced in correspondence to the increase in T(2)-weighted WM lesion volume over the follow-up period.
CONCLUSIONS: By using different methodologies, we showed similar widespread tissue loss in the cerebral cortex of patients with RR MS. This brain tissue loss further progresses over time, particularly in the fronto-parietal cortex and seems to be partially dependent upon the increase of lesion load.

Entities:  

Mesh:

Year:  2009        PMID: 19286193     DOI: 10.1016/j.jns.2009.02.322

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  26 in total

1.  Longitudinal gray matter changes in multiple sclerosis--differential scanner and overall disease-related effects.

Authors:  Kerstin Bendfeldt; Louis Hofstetter; Pascal Kuster; Stefan Traud; Nicole Mueller-Lenke; Yvonne Naegelin; Ludwig Kappos; Achim Gass; Thomas E Nichols; Frederik Barkhof; Hugo Vrenken; Stefan D Roosendaal; Jeroen J G Geurts; Ernst-Wilhelm Radue; Stefan J Borgwardt
Journal:  Hum Brain Mapp       Date:  2011-04-29       Impact factor: 5.038

2.  Evidence of diffuse damage in frontal and occipital cortex in the brain of patients with post-traumatic stress disorder.

Authors:  Maricla Tavanti; Marco Battaglini; Federico Borgogni; Letizia Bossini; Sara Calossi; Daniela Marino; Gianpaolo Vatti; Fulvio Pieraccini; Antonio Federico; Paolo Castrogiovanni; Nicola De Stefano
Journal:  Neurol Sci       Date:  2011-06-28       Impact factor: 3.307

3.  Unraveling the relationship between regional gray matter atrophy and pathology in connected white matter tracts in long-standing multiple sclerosis.

Authors:  Martijn D Steenwijk; Marita Daams; Petra J W Pouwels; Lisanne J Balk; Prejaas K Tewarie; Jeroen J G Geurts; Frederik Barkhof; Hugo Vrenken
Journal:  Hum Brain Mapp       Date:  2015-01-27       Impact factor: 5.038

Review 4.  Brain MRI atrophy quantification in MS: From methods to clinical application.

Authors:  Maria A Rocca; Marco Battaglini; Ralph H B Benedict; Nicola De Stefano; Jeroen J G Geurts; Roland G Henry; Mark A Horsfield; Mark Jenkinson; Elisabetta Pagani; Massimo Filippi
Journal:  Neurology       Date:  2016-12-16       Impact factor: 9.910

5.  The relevance of multiple sclerosis cortical lesions on cortical thinning and their clinical impact as assessed by 7.0-T MRI.

Authors:  Constantina A Treaba; Elena Herranz; Valeria T Barletta; Ambica Mehndiratta; Russell Ouellette; Jacob A Sloane; Eric C Klawiter; Revere P Kinkel; Caterina Mainero
Journal:  J Neurol       Date:  2021-02-01       Impact factor: 4.849

6.  Can Functional Magnetic Resonance Imaging Improve Success Rates in CNS Drug Discovery?

Authors:  David Borsook; Richard Hargreaves; Lino Becerra
Journal:  Expert Opin Drug Discov       Date:  2011-06-01       Impact factor: 6.098

7.  The impact of lesion in-painting and registration methods on voxel-based morphometry in detecting regional cerebral gray matter atrophy in multiple sclerosis.

Authors:  A Ceccarelli; J S Jackson; S Tauhid; A Arora; J Gorky; E Dell'Oglio; A Bakshi; T Chitnis; S J Khoury; H L Weiner; C R G Guttmann; R Bakshi; M Neema
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-29       Impact factor: 3.825

8.  Progression of regional atrophy in the left hemisphere contributes to clinical and cognitive deterioration in multiple sclerosis: A 5-year study.

Authors:  Paolo Preziosa; Elisabetta Pagani; Sarlota Mesaros; Gianna C Riccitelli; Jelena Dackovic; Jelena Drulovic; Massimo Filippi; Maria A Rocca
Journal:  Hum Brain Mapp       Date:  2017-08-09       Impact factor: 5.038

9.  Disability-Specific Atlases of Gray Matter Loss in Relapsing-Remitting Multiple Sclerosis.

Authors:  Allan MacKenzie-Graham; Florian Kurth; Yuichiro Itoh; He-Jing Wang; Michael J Montag; Robert Elashoff; Rhonda R Voskuhl
Journal:  JAMA Neurol       Date:  2016-08-01       Impact factor: 18.302

10.  Brain atrophy and physical disability in primary progressive multiple sclerosis: A volumetric study.

Authors:  Orlando Galego; Ana Gouveia; Sónia Batista; Cristina Moura; Egídio Machado
Journal:  Neuroradiol J       Date:  2015-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.