Literature DB >> 20600964

Diffusion tensor imaging reveals regional differences in the cervical spinal cord in amyotrophic lateral sclerosis.

Govind Nair1, John D Carew, Sharon Usher, Debbie Lu, Xiaoping P Hu, Michael Benatar.   

Abstract

Therapeutic development in amyotrophic lateral sclerosis (ALS) is hampered by the lack of suitable biomarkers that might be sensitive to spatial and temporal patterns of neurodegeneration. Diffusion tensor imaging is a useful non-invasive tool that permits detection of microstructural tissue changes due, for example, to neurodegeneration. Even though the spinal cord bears the brunt of the disease process, diffusion tensor imaging has mainly been used to study white matter changes in the brain. The aim of this study was to examine the diffusion tensor imaging parameters of the cervical spinal cord (C1 through C6 segments) and brainstem (corticospinal tracts in the pyramids and pons) among ALS patients, to compare these to findings in age-matched healthy controls, and to correlate these differences with clinical measures of disease severity. Fractional anisotropy in the white matter of the cervical cord was 12% lower (p<0.01) in ALS patients (n=14) compared to age-matched healthy control subjects (n=15), and showed significant positive correlation with the average finger and foot tapping speed (r=0.61, p<0.05) in ALS patients. Radial diffusivity in the cervical cord was 15% higher (p<0.05) in ALS patients compared to healthy control subjects. Radial diffusivity in the white matter of the cervical cord was significantly correlated with clinical measures of disease severity such as forced vital capacity (FVC % predicted, r=-0.69, p<0.01), average finger and foot tapping speed from all four limbs (r=-0.59, p<0.05), and ALSFRS-R (r=-0.55, p<0.05) in ALS patients. There were no significant differences in mean diffusivity or axial diffusivity in the cervical spinal cord, or in any diffusion tensor imaging parameters measured in the brainstem. Analysis of diffusion tensor imaging parameters from individual cervical segments as well as profile plots along the length of the cervical cord showed larger differences in fractional anisotropy and radial diffusivity at more distal cervical segments, providing evidence that supports the "dying-back" hypothesis of neurodegeneration in ALS. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20600964     DOI: 10.1016/j.neuroimage.2010.06.060

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  30 in total

1.  Advances in the application of MRI to amyotrophic lateral sclerosis.

Authors:  Martin R Turner; Michel Modo
Journal:  Expert Opin Med Diagn       Date:  2010-11

2.  Neuroimaging of motor neuron diseases.

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Journal:  Ther Adv Neurol Disord       Date:  2012-03       Impact factor: 6.570

3.  Rapid, high-resolution quantitative magnetization transfer MRI of the human spinal cord.

Authors:  Alex K Smith; Richard D Dortch; Lindsey M Dethrage; Seth A Smith
Journal:  Neuroimage       Date:  2014-03-13       Impact factor: 6.556

4.  Analysis of high-voltage electrical spinal cord injury using diffusion tensor imaging.

Authors:  Suk Hoon Ohn; Deog Young Kim; Ji Cheol Shin; Seung Min Kim; Woo-Kyoung Yoo; Seung-Koo Lee; Chang-Hyun Park; Kwang-Ik Jung; Ki Un Jang; Cheong Hoon Seo; Sung Hye Koh; Bora Jung
Journal:  J Neurol       Date:  2013-09-04       Impact factor: 4.849

5.  Correlation of force control with regional spinal DTI in patients with cervical spondylosis without signs of spinal cord injury on conventional MRI.

Authors:  Påvel G Lindberg; Katherine Sanchez; Fidan Ozcan; François Rannou; Serge Poiraudeau; Antoine Feydy; Marc A Maier
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Review 6.  Stronger is not always better: could a bodybuilding dietary supplement lead to ALS?

Authors:  Marin Manuel; C J Heckman
Journal:  Exp Neurol       Date:  2010-12-15       Impact factor: 5.330

Review 7.  Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI.

Authors:  Allan R Martin; Izabela Aleksanderek; Julien Cohen-Adad; Zenovia Tarmohamed; Lindsay Tetreault; Nathaniel Smith; David W Cadotte; Adrian Crawley; Howard Ginsberg; David J Mikulis; Michael G Fehlings
Journal:  Neuroimage Clin       Date:  2015-12-04       Impact factor: 4.881

8.  Structural brain network imaging shows expanding disconnection of the motor system in amyotrophic lateral sclerosis.

Authors:  Esther Verstraete; Jan H Veldink; Leonard H van den Berg; Martijn P van den Heuvel
Journal:  Hum Brain Mapp       Date:  2013-03-01       Impact factor: 5.038

9.  Neurite orientation dispersion and density imaging can detect presymptomatic axonal degeneration in the spinal cord of ALS mice.

Authors:  R G Gatto; S M Mustafi; M Y Amin; T H Mareci; Yu-Chien Wu; R L Magin
Journal:  Funct Neurol       Date:  2018 Jul/Sept

10.  Diagnostic accuracy using diffusion tensor imaging in the diagnosis of ALS: a meta-analysis.

Authors:  Bradley R Foerster; Ben A Dwamena; Myria Petrou; Ruth C Carlos; Brian C Callaghan; Martin G Pomper
Journal:  Acad Radiol       Date:  2012-06-28       Impact factor: 3.173

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