Literature DB >> 20677272

Individual voxel-based analysis of brain magnetization transfer maps shows great variability of gray matter injury in the first stage of multiple sclerosis.

Lorena Jure1, Wafaa Zaaraoui, Celia Rousseau, Françoise Reuter, Audrey Rico, Irina Malikova, Sylviane Confort-Gouny, Patrick J Cozzone, Jean Pelletier, Jean-Philippe Ranjeva, Bertrand Audoin.   

Abstract

In multiple sclerosis (MS), it seems likely that the variability of the long-term disability might be partly due to the variability of the early gray matter (GM) injury. In the present study, we assessed the variability of GM injury in early MS, using a method designed to determine individual pathological GM patterns. Eighteen patients presenting with a clinically isolated syndrome and 24 healthy matched control subjects were included in this study. Patients were explored using a 1.5 Tesla MR scanner (Magnetom Vision Plus; Siemens). Brain MR protocol included magnetization transfer ratio imaging (MTR). Statistical mapping analyses were performed to compare each subject's GM MTR maps with those of the whole group of control subjects (SPM5). The statistical threshold was taken to be the maximum P value showing no significant cluster when any control individual was compared with the whole control population. GM abnormalities were observed in 83% of the patients, ranging in size from 0.3 to 125 cm(3). Among the patients with GM abnormalities, 87% had abnormalities located in the temporal cortex, 80% in the frontal cortex, 80% in the limbic cortex, 73% in the posterior fossa, 53% in the deep GM, 47% in the parietal cortex, and 47% in the occipital cortex. Individual statistical mapping of MTR data, which gives a quantitative assessment of individual GM lesions, demonstrates great variability of grey matter injury in the first stage of multiple sclerosis. 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20677272     DOI: 10.1002/jmri.22265

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  8 in total

1.  Surface-based analysis reveals regions of reduced cortical magnetization transfer ratio in patients with multiple sclerosis: a proposed method for imaging subpial demyelination.

Authors:  Mishkin Derakhshan; Zografos Caramanos; Sridar Narayanan; Douglas L Arnold; D Louis Collins
Journal:  Hum Brain Mapp       Date:  2013-12-04       Impact factor: 5.038

2.  Abnormal functional connectivity and cortical integrity influence dominant hand motor disability in multiple sclerosis: a multimodal analysis.

Authors:  Jidan Zhong; Julia C Nantes; Scott A Holmes; Serge Gallant; Sridar Narayanan; Lisa Koski
Journal:  Hum Brain Mapp       Date:  2016-07-06       Impact factor: 5.038

3.  Evolution of cortical and thalamus atrophy and disability progression in early relapsing-remitting MS during 5 years.

Authors:  R Zivadinov; N Bergsland; O Dolezal; S Hussein; Z Seidl; M G Dwyer; M Vaneckova; J Krasensky; J A Potts; T Kalincik; E Havrdová; D Horáková
Journal:  AJNR Am J Neuroradiol       Date:  2013-04-11       Impact factor: 3.825

4.  Prevalence of grey matter pathology in early multiple sclerosis assessed by magnetization transfer ratio imaging.

Authors:  Lydie Crespy; Wafaa Zaaraoui; Mathias Lemaire; Audrey Rico; Anthony Faivre; Françoise Reuter; Irina Malikova; Sylviane Confort-Gouny; Patrick J Cozzone; Jean Pelletier; Jean-Philippe Ranjeva; Bertrand Audoin
Journal:  PLoS One       Date:  2011-09-15       Impact factor: 3.240

5.  Localization and quantification of intramuscular damage using statistical parametric mapping and skeletal muscle parcellation.

Authors:  Alexandre Fouré; Arnaud Le Troter; Maxime Guye; Jean-Pierre Mattei; David Bendahan; Julien Gondin
Journal:  Sci Rep       Date:  2015-12-22       Impact factor: 4.379

6.  MRI correlates of disability progression in patients with CIS over 48 months.

Authors:  Tomas Uher; Dana Horakova; Niels Bergsland; Michaela Tyblova; Deepa P Ramasamy; Zdenek Seidl; Manuela Vaneckova; Jan Krasensky; Eva Havrdova; Robert Zivadinov
Journal:  Neuroimage Clin       Date:  2014-09-28       Impact factor: 4.881

7.  Multi-parametric representation of voxel-based quantitative magnetic resonance imaging.

Authors:  Maria Engström; Jan B M Warntjes; Anders Tisell; Anne-Marie Landtblom; Peter Lundberg
Journal:  PLoS One       Date:  2014-11-13       Impact factor: 3.240

8.  Statistical parametric mapping of three-dimensional local activity distribution of skeletal muscle using magnetic resonance imaging (MRI).

Authors:  Satoshi Yamaguchi; Makoto Watanabe; Yoshinori Hattori
Journal:  Sci Rep       Date:  2021-02-26       Impact factor: 4.379

  8 in total

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