Literature DB >> 12140672

Intra-voxel and inter-voxel coherence in patients with multiple sclerosis assessed using diffusion tensor MRI.

M Cercignani1, M Bozzali, G Iannucci, G Comi, M Filippi.   

Abstract

Previous diffusion tensor magnetic resonance imaging (DT-MRI) studies reported mean diffusivity () and fractional anisotropy (FA) changes in lesions and normal-appearing white matter (NAWM) of patients with <span class="Disease">multiple sclerosis (MS), but neglected the additional information which can be obtained by the analysis of the inter-voxel coherence (C). The present study is based on a large sample of patients with MS and it is aimed at assessing the potential role of C in the quantification of MS-related tissue damage of T2-visible lesions and NAWM. We obtained dual-echo, T1-weighted and DT-MRI scans from 78 patients with relapsing-remitting (RR), secondary progressive (SP), or primary progressive (PP) MS and from 26 healthy volunteers. We calculated, FA and C of T2-hyperintense lesions, T1-isointense lesions, T1-hypointense lesions and several areas of the NAWM. and FA of the majority of NAWM regions studied from MS patients were different from the corresponding quantities of the white matter from controls. NAWM C from patients was lower than white matter C from controls only for the parietal pericallosal areas. SPMS patients had higher corpus callosum and lower corpus callosum FA and C than patients with either RRMS or PPMS. Average lesion was higher, and average FA and C lower than the corresponding quantities measured in the NAWM. Average T1-hypointense lesion was higher and average FA lower than the corresponding quantities of T1-isointense lesions, whereas average C of these two lesion populations were not different. SPMS had higher average lesion than both PPMS and RRMS patients. NAWM and C of the corpus callosum were moderately correlated with disability. This study confirms the role of DT-MRI metrics to identify MS lesions with different amounts of tissue damage and to detect diffuse changes in the NAWM. It also shows that measuring C enables us to obtain additional information about tissue damage, which is complementary to that given by the analysis of and FA.

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Year:  2002        PMID: 12140672     DOI: 10.1007/s00415-002-0752-y

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  12 in total

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2.  Voxel-based analysis of quantitative T1 maps demonstrates that multiple sclerosis acts throughout the normal-appearing white matter.

Authors:  H Vrenken; S A R B Rombouts; P J W Pouwels; F Barkhof
Journal:  AJNR Am J Neuroradiol       Date:  2006-04       Impact factor: 3.825

Review 3.  The role of advanced magnetic resonance imaging techniques in primary progressive MS.

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Journal:  J Neurol       Date:  2011-08-04       Impact factor: 4.849

4.  Comparing isotropic and anisotropic smoothing for voxel-based DTI analyses: A simulation study.

Authors:  Wim Van Hecke; Alexander Leemans; Steve De Backer; Ben Jeurissen; Paul M Parizel; Jan Sijbers
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5.  Interference Effect of Prior Explicit Information on Motor Sequence Learning in Relapsing-Remitting Multiple Sclerosis Patients.

Authors:  Nahid Zahiri; Iraj Abollahi; Seyed Massood Nabavi; Fatemeh Ehsani; Amir Masoud Arab; Ina Shaw; Ardalan Shariat; Brandon S Shaw; Maryam Dastoorpoor; Mahmoud Danaee; Bahram Sangelaji
Journal:  Malays J Med Sci       Date:  2017-02-24

6.  Thalamocortical sensorimotor circuit in multiple sclerosis: an integrated structural and electrophysiological assessment.

Authors:  Maria Luisa Dell'Acqua; Doriana Landi; Giancarlo Zito; Filippo Zappasodi; Domenico Lupoi; Paolo M Rossini; Maria M Filippi; Franca Tecchio
Journal:  Hum Brain Mapp       Date:  2010-10       Impact factor: 5.038

7.  Early anisotropy changes in the corpus callosum of patients with optic neuritis.

Authors:  M Bester; C Heesen; S Schippling; R Martin; X-Q Ding; B Holst; J Fiehler
Journal:  Neuroradiology       Date:  2008-05-06       Impact factor: 2.804

8.  Diffusion Tensor Imaging in NAWM and NADGM in MS and CIS: Association with Candidate Biomarkers in Sera.

Authors:  Renuka Natarajan; Sanna Hagman; Xingchen Wu; Ullamari Hakulinen; Minna Raunio; Mika Helminen; Maija Rossi; Prasun Dastidar; Irina Elovaara
Journal:  Mult Scler Int       Date:  2013-12-17

9.  Perfusion and Diffusion Abnormalities of Multiple Sclerosis Lesions and Relevance of Classified Lesions to Disease Status.

Authors:  Lian Li; Michael Chopp; Siamak P Nejad-Davarani; Kourosh Jafari-Khouzani; Suresh C Patel; John Budaj; Mei Lu; Stanton B Elias; Mirela Cerghet; Quan Jiang
Journal:  J Neurol Neurophysiol       Date:  2014-04

10.  Evaluation of the Degradation of the Selected Projectile, Commissural and Association White Matter Tracts Within Normal Appearing White Matter in Patients with Multiple Sclerosis Using Diffusion Tensor MR Imaging - a Preliminary Study.

Authors:  Anna Banaszek; Joanna Bladowska; Anna Pokryszko-Dragan; Ryszard Podemski; Marek J Sąsiadek
Journal:  Pol J Radiol       Date:  2015-10-05
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