Literature DB >> 19201003

Extent of cerebellum, subcortical and cortical atrophy in patients with MS: a case-control study.

Deepa Preeti Ramasamy1, Ralph H B Benedict, Jennifer L Cox, David Fritz, Nadir Abdelrahman, Sara Hussein, Alireza Minagar, Michael G Dwyer, Robert Zivadinov.   

Abstract

Cortical and subcortical atrophy occurs in multiple sclerosis (MS) and relates to clinical outcomes. FreeSurfer, a voxel-based automated software for brain reconstruction was used to investigate the extent of subcortical and cortical atrophy in 71 MS and 17 clinically isolated syndrome (CIS) patients, and 38 normal controls (NC), and to relate group differences to disease type and severity. Segmentation was performed on 3D SPGR T1-weighted MRI 1.5T images. Region-specific subcortical tissue volumes were calculated in mm(3) and cortical thickness in mm. Logistic regression and general linear model analyses, adjusted for age and intracranial volume, examined differences between NC, MS and CIS patients and disease subtypes. The MS group was characterized by significantly lower volumes of thalamus (left and right p<0.0001), left inferior lateral ventricle, third ventricle (p<0.0001), ventral diencephalon, pallidum and putamen bilaterally, as well as of right accumbens and brainstem with corresponding bilateral increase in volumes of lateral ventricles (p<0.01). Focal cortical atrophy areas in the thalamus, inferior parietal lobule of left hemisphere and in right precuneus were also significant in the MS sample. Versus CIS patients, RR or progressive MS patients showed significantly lower volumes of subcortical regions and cortical thinning. Hippocampal atrophy appeared only in advanced disease stages. Cerebellum WM volumes were significantly lower in MS and CIS patients vs. NC. Subcortical and cortical atrophy correlated with higher disability as measured by EDSS. This study confirmed selective deep gray matter atrophy (mostly thalamic), revealed cerebellum WM atrophy from the earliest clinical stages, and showed that cortical thinning advances with disease progression.

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Year:  2009        PMID: 19201003     DOI: 10.1016/j.jns.2008.12.034

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


  53 in total

1.  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

2.  The nature and extent of cerebellar atrophy in chronic temporal lobe epilepsy.

Authors:  Temitayo O Oyegbile; Katherine Bayless; Kevin Dabbs; Jana Jones; Paul Rutecki; Ronald Pierson; Michael Seidenberg; Bruce Hermann
Journal:  Epilepsia       Date:  2011-01-26       Impact factor: 5.864

3.  Atlas-based investigation of human brain tissue microstructural spatial heterogeneity and interplay between transverse relaxation time and radial diffusivity.

Authors:  Indika S Walimuni; Khader M Hasan
Journal:  Neuroimage       Date:  2011-05-30       Impact factor: 6.556

4.  MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry.

Authors:  Kerstin Bendfeldt; Bernd Taschler; Laura Gaetano; Philip Madoerin; Pascal Kuster; Nicole Mueller-Lenke; Michael Amann; Hugo Vrenken; Viktor Wottschel; Frederik Barkhof; Stefan Borgwardt; Stefan Klöppel; Eva-Maria Wicklein; Ludwig Kappos; Gilles Edan; Mark S Freedman; Xavier Montalbán; Hans-Peter Hartung; Christoph Pohl; Rupert Sandbrink; Till Sprenger; Ernst-Wilhelm Radue; Jens Wuerfel; Thomas E Nichols
Journal:  Brain Imaging Behav       Date:  2019-10       Impact factor: 3.978

5.  Early silent microstructural degeneration and atrophy of the thalamocortical network in multiple sclerosis.

Authors:  Michael Deppe; Julia Krämer; Jan-Gerd Tenberge; Jasmin Marinell; Wolfram Schwindt; Katja Deppe; Sergiu Groppa; Heinz Wiendl; Sven G Meuth
Journal:  Hum Brain Mapp       Date:  2016-02-27       Impact factor: 5.038

6.  Multi-modal quantitative MRI investigation of brain tissue neurodegeneration in multiple sclerosis.

Authors:  Khader M Hasan; Indika S Walimuni; Humaira Abid; Jerry S Wolinsky; Ponnada A Narayana
Journal:  J Magn Reson Imaging       Date:  2012-01-12       Impact factor: 4.813

7.  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

8.  Reproducibility of Deep Gray Matter Atrophy Rate Measurement in a Large Multicenter Dataset.

Authors:  A Meijerman; H Amiri; M D Steenwijk; M A Jonker; R A van Schijndel; K S Cover; H Vrenken
Journal:  AJNR Am J Neuroradiol       Date:  2017-11-30       Impact factor: 3.825

9.  Quantitative Susceptibility Mapping of the Thalamus: Relationships with Thalamic Volume, Total Gray Matter Volume, and T2 Lesion Burden.

Authors:  G C Chiang; J Hu; E Morris; Y Wang; S A Gauthier
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-25       Impact factor: 3.825

10.  A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions.

Authors:  Navid Shiee; Pierre-Louis Bazin; Arzu Ozturk; Daniel S Reich; Peter A Calabresi; Dzung L Pham
Journal:  Neuroimage       Date:  2009-09-17       Impact factor: 6.556

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