Title: Quantitative diffusion tensor imaging in amyotrophic lateral sclerosis: Revisited
Authors: Sage, Caroline A ×
Van Hecke, Wim
Peeters, Ronald
Sijbers, Jan
Robberecht, Wim
Parizel, Paul
Marchal, Guy
Leemans, Alexander
Sunaert, Stefan #
Issue Date: Nov-2009
Publisher: Wiley-Liss
Series Title: Human Brain Mapping vol:30 issue:11 pages:3657-3675
Abstract: Voxel-based analyses (VBA) are increasingly being used to detect white matter abnormalities with diffusion tensor imaging (DTI) in different types of pathologies. However, the validity, specificity, and sensitivity of statistical inferences of group differences to a large extent depend on the quality of the spatial normalization of the DTI images. Using high-dimensional nonrigid coregistration techniques that are able to align both the spatial and orientational diffusion information and incorporate appropriate templates that contain this complete DT information may improve this quality. Alternatively, a hybrid technique such as tract-based spatial statistics (TBSS) may improve the reliability of the statistical results by generating voxel-wise statistics without the need for perfect image alignment and spatial smoothing. In this study, we have used (1) a coregistration algorithm that was optimized for coregistration of DTI data and (2) a population-based DTI atlas to reanalyze our previously published VBA, which compared the fractional anisotropy and mean diffusivity maps of patients with amyotrophic lateral sclerosis (ALS) with those of healthy controls. Additionally, we performed a complementary TBSS analysis to improve our understanding and interpretation of the VBA results. We demonstrate that, as the overall variance of the diffusion properties is lowered after normalizing the DTI data with such recently developed techniques (VBA using our own optimized high-dimensional nonrigid coregistration and TBSS), more reliable voxel-wise statistical results can be obtained than had previously been possible, with our VBA and TBSS yielding very similar results. This study provides support for the view of ALS as a multisystem disease, in which the entire frontotemporal lobe is implicated. Hum Brain Mapp, 2009. (c) 2009 Wiley-Liss, Inc.
ISSN: 1065-9471
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Experimental Neurology
Laboratory for Neurobiology (Vesalius Research Center)
Translational MRI (+)
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science