Literature DB >> 19453832

Comparison of diffusion tensor-based tractography and quantified brain atrophy for analyzing demyelination and axonal loss in MS.

Frauke Fink1, Jan Klein, Michael Lanz, Tibor Mitrovics, Markus Lentschig, Horst K Hahn, Helmut Hildebrandt.   

Abstract

We combined diffusion tensor imaging (DTI) measures of the corpus callosum (CC) and the superior longitudinal fascicle (SLF) with calculation of brain atrophy in 53 patients with relapsing-remitting multiple sclerosis (MS) and 15 healthy controls, to analyze their interrelation and their correlation with disease duration and clinical impairment. The lateral ventricle volume in MS patients was increased; the fractional anisotropy in the CC was decreased as was the fiber volume. Perpendicular (in the literature also referred to as radial) diffusivity (ped), which reflects the diffusion perpendicular to the long axis of the axons within the fiber bundle, was increased in the SLF and the posterior CC, but contrary to our predictions, parallel (also called axial) diffusivity (pad) that refers to the amount of diffusion in the direction of the axon was increased, too. Brain atrophy and DTI-derived parameters were highly intercorrelated and both correlated with disease duration. Discriminant analysis showed that DTI-derived atrophy measures are superior to brain atrophy measures in classifying patients and controls. In light of our results, animal studies focusing on demyelination and axonal loss are reinterpreted.
Copyright © 2009 by the American Society of Neuroimaging.

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Year:  2010        PMID: 19453832     DOI: 10.1111/j.1552-6569.2009.00377.x

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  17 in total

1.  Diffusion tensor imaging reveals white matter abnormalities in Attention-Deficit/Hyperactivity Disorder.

Authors:  Leanne Tamm; Naama Barnea-Goraly; Allan L Reiss
Journal:  Psychiatry Res       Date:  2012-06-14       Impact factor: 3.222

2.  Longitudinal changes in diffusion tensor-based quantitative MRI in multiple sclerosis.

Authors:  D M Harrison; B S Caffo; N Shiee; J A D Farrell; P-L Bazin; S K Farrell; J N Ratchford; P A Calabresi; D S Reich
Journal:  Neurology       Date:  2011-01-11       Impact factor: 9.910

3.  Human brain atlas-based multimodal MRI analysis of volumetry, diffusimetry, relaxometry and lesion distribution in multiple sclerosis patients and healthy adult controls: implications for understanding the pathogenesis of multiple sclerosis and consolidation of quantitative MRI results in MS.

Authors:  Khader M Hasan; Indika S Walimuni; Humaira Abid; Sushmita Datta; Jerry S Wolinsky; Ponnada A Narayana
Journal:  J Neurol Sci       Date:  2011-10-05       Impact factor: 3.181

Review 4.  Thalamus pathology in multiple sclerosis: from biology to clinical application.

Authors:  Markus Kipp; Nina Wagenknecht; Cordian Beyer; Sebastian Samer; Jens Wuerfel; Omid Nikoubashman
Journal:  Cell Mol Life Sci       Date:  2014-11-23       Impact factor: 9.261

5.  Tract-specific quantitative MRI better correlates with disability than conventional MRI in multiple sclerosis.

Authors:  Daniel M Harrison; Navid Shiee; Pierre-Louis Bazin; Scott D Newsome; John N Ratchford; Dzung Pham; Peter A Calabresi; Daniel S Reich
Journal:  J Neurol       Date:  2012-08-12       Impact factor: 4.849

6.  Plasma inflammatory biomarkers link to diffusion tensor imaging metrics in virally suppressed HIV-infected individuals.

Authors:  Kevin Chang; Thomas A Premeaux; Yann Cobigo; Benedetta Milanini; Joanna Hellmuth; Leah H Rubin; Shireen Javandel; Isabel Allen; Lishomwa C Ndhlovu; Robert Paul; Victor Valcour
Journal:  AIDS       Date:  2020-02-01       Impact factor: 4.632

Review 7.  Axonal degeneration in multiple sclerosis: can we predict and prevent permanent disability?

Authors:  Jae Young Lee; Kasra Taghian; Steven Petratos
Journal:  Acta Neuropathol Commun       Date:  2014-08-27       Impact factor: 7.801

8.  Longitudinal MR spectroscopy of neurodegeneration in multiple sclerosis with diffusion of the intra-axonal constituent N-acetylaspartate.

Authors:  Emily Turner Wood; Ece Ercan; Pascal Sati; Irene C M Cortese; Itamar Ronen; Daniel S Reich
Journal:  Neuroimage Clin       Date:  2017-06-22       Impact factor: 4.881

9.  The Impact of MS-Related Cognitive Fatigue on Future Brain Parenchymal Loss and Relapse: A 17-Month Follow-up Study.

Authors:  Carina Sander; Paul Eling; Katrin Hanken; Jan Klein; Andreas Kastrup; Helmut Hildebrandt
Journal:  Front Neurol       Date:  2016-09-21       Impact factor: 4.003

10.  DTI Measurements in Multiple Sclerosis: Evaluation of Brain Damage and Clinical Implications.

Authors:  Emilia Sbardella; Francesca Tona; Nikolaos Petsas; Patrizia Pantano
Journal:  Mult Scler Int       Date:  2013-03-31
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