Literature DB >> 15528116

Relating neocortical pathology to disability progression in multiple sclerosis using MRI.

J T Chen1, S Narayanan, D L Collins, S M Smith, P M Matthews, D L Arnold.   

Abstract

Cortical grey matter (cGM) develops a substantial burden of pathology in multiple sclerosis (MS). Previous cross-sectional studies have suggested a relationship between measures of cortical atrophy and disability. Our objective was to develop a method for automatically measuring the apparent cGM thickness as well as the integrity of the interface between cGM and subcortical white matter (GM/WM) both globally and regionally on T(1)-weighted MRI, and use this method in a longitudinal investigation of how these measures differed between patients with stable MS and patients with progressing disability. Measurements were made over the whole brain and for anatomically specified cortical regions, both cross-sectionally at baseline and longitudinally on two MRI scans performed on average 1 year apart. We found a higher average rate of apparent loss of cGM thickness across the whole brain in the group that progressed over the interscan interval compared to the group that remained stable (progressing = -3.13 +/- 2.88%/year, stable = 0.06 +/- 2.31%/year, P = 0.002). This difference was detected with regional measures in parietal and precentral cortex. In contrast, change in the GM/WM interface integrity did not show detectable regional differences, although the group of MS patients whose disability progressed showed a significant decrease in GM/WM interface integrity compared to the stable group (P = 0.003). Regional measures of apparent loss of cGM thickness enhance sensitivity to cortical pathological changes. A measure of integrity offers a new index of disease-associated cortical changes at the GM/WM interface. The results suggest that progression of disability in MS is associated with the progression of MRI-detectable cortical pathology.

Entities:  

Mesh:

Year:  2004        PMID: 15528116     DOI: 10.1016/j.neuroimage.2004.07.046

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  37 in total

1.  In vivo detection of cortical plaques by MR imaging in patients with multiple sclerosis.

Authors:  F Bagnato; J A Butman; S Gupta; M Calabrese; L Pezawas; J M Ohayon; F Tovar-Moll; M Riva; M M Cao; S L Talagala; H F McFarland
Journal:  AJNR Am J Neuroradiol       Date:  2006 Nov-Dec       Impact factor: 3.825

2.  Reconstruction of the human cerebral cortex robust to white matter lesions: method and validation.

Authors:  Navid Shiee; Pierre-Louis Bazin; Jennifer L Cuzzocreo; Chuyang Ye; Bhaskar Kishore; Aaron Carass; Peter A Calabresi; Daniel S Reich; Jerry L Prince; Dzung L Pham
Journal:  Hum Brain Mapp       Date:  2013-12-31       Impact factor: 5.038

Review 3.  MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy.

Authors:  Massimo Filippi; M A Rocca
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-31       Impact factor: 3.825

4.  Profiles of precentral and postcentral cortical mean thicknesses in individual subjects over acute and subacute time-scales.

Authors:  Xin Wang; Mischka Gerken; Michael Dennis; Richard Mooney; John Kane; Sadik Khuder; Hong Xie; William Bauer; A Vania Apkarian; John Wall
Journal:  Cereb Cortex       Date:  2009-10-13       Impact factor: 5.357

5.  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

6.  A phase 2 randomized trial of ELND005, scyllo-inositol, in mild to moderate Alzheimer disease.

Authors:  S Salloway; R Sperling; R Keren; A P Porsteinsson; C H van Dyck; P N Tariot; S Gilman; D Arnold; S Abushakra; C Hernandez; G Crans; E Liang; G Quinn; M Bairu; A Pastrak; J M Cedarbaum
Journal:  Neurology       Date:  2011-09-14       Impact factor: 9.910

7.  CLADA: cortical longitudinal atrophy detection algorithm.

Authors:  Kunio Nakamura; Robert Fox; Elizabeth Fisher
Journal:  Neuroimage       Date:  2010-07-30       Impact factor: 6.556

8.  Combining tractography and cortical measures to test system-specific hypotheses in multiple sclerosis.

Authors:  Nikos Gorgoraptis; Claudia A M Wheeler-Kingshott; Thomas M Jenkins; Daniel R Altmann; David H Miller; Alan J Thompson; Olga Ciccarelli
Journal:  Mult Scler       Date:  2010-03-09       Impact factor: 6.312

9.  A voxel-based morphometry study of disease severity correlates in relapsing-- remitting multiple sclerosis.

Authors:  A Prinster; M Quarantelli; R Lanzillo; G Orefice; G Vacca; B Carotenuto; B Alfano; A Brunetti; V Brescia Morra; M Salvatore
Journal:  Mult Scler       Date:  2009-12-22       Impact factor: 6.312

Review 10.  Quantification and clinical relevance of brain atrophy in multiple sclerosis: a review.

Authors:  Blandine Grassiot; Béatrice Desgranges; Francis Eustache; Gilles Defer
Journal:  J Neurol       Date:  2009-04-08       Impact factor: 4.849

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.