Literature DB >> 27000254

Diffusion tensor imaging of the corticospinal tract and walking performance in multiple sclerosis.

Elizabeth A Hubbard1, Nathan C Wetter2, Bradley P Sutton2, Lara A Pilutti3, Robert W Motl3.   

Abstract

Research has identified a significant relationship between DTI (Diffusion Tensor Imaging) indices in the Corticospinal Tract (CST) and disability status in persons with multiple sclerosis (MS). To date, there is little known about the association between DTI indices of the CST with walking and gait outcomes in MS. This study examined the associations among DTI indices [fractional anisotropy (FA), radial diffusivity (RD), and axial diffusivity (AD)] of the CST with walking and gait outcomes in persons with MS. We enrolled 69 persons with MS who underwent 3T brain magnetic resonance imaging (MRI) and examined white matter structural integrity in the CST in the brain with DTI. Participants completed three walking performance assessments: 6-minute walk (6MW), timed 25-foot walk (T25FW), and gait testing. We examined associations using Spearman (r(s)) and partial Spearman correlation (pr(s)) analyses, using the entire sample and stratifying by disability status after controlling for age and sex. After controlling for age, sex, and disease duration, RD was significantly correlated (p<0.05) with step time (pr(s)=0.30). AD was significantly correlated (p<0.05) with step length (pr(s)=-0.32). MD was significantly associated (p<0.05) with 6MW (pr(s)=-0.35), T25FW (pr(s)=-0.34), gait velocity (pr(s)=-0.31), step time (pr(s)=0.29), and step length (pr(s)=-0.36). FA was not significantly correlated with any of the walking parameters (p>0.05). We provide novel evidence of possible motor pathway damage involved in walking performance in MS. There may be subtle differences in associations between MD, AD, and RD with walking outcomes, and these could be assessed in future longitudinal examinations and clinical trials of motor rehabilitation.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diffusion tensor imaging; Gait impairment; Mean diffusivity; Multiple sclerosis; Walking

Mesh:

Year:  2016        PMID: 27000254     DOI: 10.1016/j.jns.2016.02.044

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


  13 in total

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3.  Anatomical accuracy of standard-practice tractography algorithms in the motor system - A histological validation in the squirrel monkey brain.

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4.  Correlation between spinal cord diffusion tensor imaging and postural response latencies in persons with multiple sclerosis: A pilot study.

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

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Review 6.  Brain imaging of locomotion in neurological conditions.

Authors:  Gilles Allali; Helena M Blumen; Hervé Devanne; Elvira Pirondini; Arnaud Delval; Dimitri Van De Ville
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7.  Axonal loss in major sensorimotor tracts is associated with impaired motor performance in minimally disabled multiple sclerosis patients.

Authors:  Myrte Strik; L Eduardo Cofré Lizama; Camille J Shanahan; Anneke van der Walt; Frederique M C Boonstra; Rebecca Glarin; Trevor J Kilpatrick; Jeroen J G Geurts; Jon O Cleary; Menno M Schoonheim; Mary P Galea; Scott C Kolbe
Journal:  Brain Commun       Date:  2021-03-16

8.  High-Resolution Diffusion Tensor Spinal Cord MRI Measures as Biomarkers of Disability Progression in a Rodent Model of Progressive Multiple Sclerosis.

Authors:  Francesca Gilli; Xi Chen; Andrew R Pachner; Barjor Gimi
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9.  Quantitative measures of walking and strength provide insight into brain corticospinal tract pathology in multiple sclerosis.

Authors:  Nora E Fritz; Jennifer Keller; Peter A Calabresi; Kathleen M Zackowski
Journal:  Neuroimage Clin       Date:  2017-02-20       Impact factor: 4.881

Review 10.  How changes in brain activity and connectivity are associated with motor performance in people with MS.

Authors:  Daniel S Peterson; Brett W Fling
Journal:  Neuroimage Clin       Date:  2017-09-28       Impact factor: 4.881

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