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Investigation of white matter pathology in ALS and PLS using tract-based spatial statistics

✍ Scribed by Olga Ciccarelli; Timothy E. Behrens; Heidi Johansen-Berg; Kevin Talbot; Richard W. Orrell; Robin S. Howard; Rita G. Nunes; David H. Miller; Paul M. Matthews; Alan J. Thompson; Stephen M. Smith


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
204 KB
Volume
30
Category
Article
ISSN
1065-9471

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✦ Synopsis


Abstract

Objective:

We aimed to investigate differences in fractional anisotropy (FA) between primary lateral sclerosis (PLS) and amyotrophic lateral sclerosis (ALS) and the relationship between FA and disease progression using tract‐based spatial statistics (TBSS).

Methods:

Two scanners at two different sites were used. Differences in FA between ALS patients and controls scanned in London were investigated. From the results of this analysis, brain regions were selected to test for (i) differences in FA between controls, patients with ALS and patients with PLS scanned in Oxford and (ii) the relationship between FA and disease progression rate in the Oxford patient groups.

Results:

London ALS patients showed a lower FA than controls in several brain regions. Oxford patients with PLS showed a lower FA than ALS patients and than controls in the body of the corpus callosum and in the white matter adjacent to the right primary motor cortex (PMC), while ALS patients showed reduced FA compared with PLS patients in the white matter adjacent to the superior frontal gyrus. Significant correlations were found between disease progression rate and (i) FA in the white matter adjacent to the PMC in PLS, and (ii) FA along the cortico‐spinal tract and in the body of the corpus callosum in ALS.

Conclusions:

We described significant FA changes between PLS and ALS, suggesting that these two presentations of motor neuron disease show different features. The significant correlation between FA and disease progression rate in PLS suggests the tissue damage reflected in FA changes contributes to the disease progression rate. Hum Brain Mapp, 2009. © 2008 Wiley‐Liss, Inc.


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