Literature DB >> 21821263

Diffusion tensor imaging and cognitive speed in children with multiple sclerosis.

A Bethune1, V Tipu, J G Sled, S Narayanan, D L Arnold, D Mabbott, C Rockel, R Ghassemi, C Till, B Banwell.   

Abstract

OBJECTIVES: To compare white matter (WM) integrity in children with MS and healthy children using diffusion tensor imaging (DTI), and correlate DTI findings with disease activity, lesion burden, and cognitive processing speed.
METHODS: Fractional anisotropy (FA) and mean diffusivity (MD) in normal-appearing white matter (NAWM) were measured in four corpus callosum (CC), eight hemispheric regions, and the normal-appearing thalamus of 33 children and adolescents with MS and 30 age-matched healthy controls. Images were acquired on a GE LX 1.5T scanner. DTI parameters used were 25 directions, b = 1000 s/mm(2), and 5mm slice thickness. MS patients had T2 lesion volumes and Expanded Disability Status Scale (EDSS) scores were measured; all participants underwent two speeded cognitive tasks (Visual Matching and Symbol Digit Modalities Test (SDMT)).
RESULTS: MS participants displayed lower FA values in the genu (p<0.005), splenium (p<0.001) and in NAWM of bilateral parietal, temporal, and occipital lobes (p<0.001) versus controls. FA and MD in the thalamus did not differ between groups. Higher lesion volumes correlated with reduced FA in CC and hemispheric NAWM. DTI metrics did not correlate with EDSS. FA values in CC regions correlated with Visual Matching (p<0.001) and SDMT (p<0.005) in MS participants only.
INTERPRETATION: DTI analyses indicate widespread NAWM disruption in children with MS-with the degree of abnormality correlating with impaired cognitive processing speed. These findings support an early onset tissue pathology in MS and illustrate its functional consequence.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21821263     DOI: 10.1016/j.jns.2011.07.019

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


  14 in total

1.  The computer-based Symbol Digit Modalities Test: establishing age-expected performance in healthy controls and evaluation of pediatric MS patients.

Authors:  Sandra Bigi; R A Marrie; C Till; E A Yeh; N Akbar; A Feinstein; B L Banwell
Journal:  Neurol Sci       Date:  2017-01-11       Impact factor: 3.307

Review 2.  Multiple sclerosis in children: an update on clinical diagnosis, therapeutic strategies, and research.

Authors:  Amy Waldman; Angelo Ghezzi; Amit Bar-Or; Yann Mikaeloff; Marc Tardieu; Brenda Banwell
Journal:  Lancet Neurol       Date:  2014-09       Impact factor: 44.182

3.  White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset.

Authors:  Sindhuja Tirumalai Govindarajan; Yilin Liu; Maria Andrea Parra Corral; Lev Bangiyev; Lauren Krupp; Leigh Charvet; Tim Q Duong
Journal:  Brain Imaging Behav       Date:  2021-06       Impact factor: 3.978

4.  Tract-based spatial statistics analysis of diffusion-tensor imaging data in pediatric- and adult-onset multiple sclerosis.

Authors:  Rachel Aliotta; Jennifer L Cox; Katelyn Donohue; Bianca Weinstock-Guttman; E Ann Yeh; Paul Polak; Michael G Dwyer; Robert Zivadinov
Journal:  Hum Brain Mapp       Date:  2012-08-30       Impact factor: 5.038

5.  White matter integrity is associated with cognitive processing in patients treated for a posterior fossa brain tumor.

Authors:  Shawna L Palmer; John O Glass; Yimei Li; Robert Ogg; Ibrahim Qaddoumi; Gregory T Armstrong; Karen Wright; Cynthia Wetmore; Alberto Broniscer; Amar Gajjar; Wilburn E Reddick
Journal:  Neuro Oncol       Date:  2012-08-16       Impact factor: 12.300

Review 6.  Quantitative Meta-analyses of Cognitive Abilities in Children With Pediatric-onset Multiple Sclerosis.

Authors:  Elena S Lysenko; Mariia D Bogdanova; Marie Arsalidou
Journal:  Neuropsychol Rev       Date:  2022-07-08       Impact factor: 7.444

7.  Longitudinal processing speed impairments in males with autism and the effects of white matter microstructure.

Authors:  Brittany G Travers; Erin D Bigler; Do P M Tromp; Nagesh Adluru; Alyson L Froehlich; Chad Ennis; Nicholas Lange; Jared A Nielsen; Molly B D Prigge; Andrew L Alexander; Janet E Lainhart
Journal:  Neuropsychologia       Date:  2013-11-21       Impact factor: 3.139

Review 8.  Pediatric Multiple Sclerosis and Cognition: A Review of Clinical, Neuropsychologic, and Neuroradiologic Features.

Authors:  Ozgul Ekmekci
Journal:  Behav Neurol       Date:  2017-12-25       Impact factor: 3.342

9.  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

10.  Alterations in Functional and Structural Connectivity in Pediatric-Onset Multiple Sclerosis.

Authors:  Nadine Akbar; Antonio Giorgio; Christine Till; John G Sled; Sam M Doesburg; Nicola De Stefano; Brenda Banwell
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

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