Title
Microstructural white matter changes in normal aging : a diffusion tensor imaging study with higher-order polynomial regression modelsMicrostructural white matter changes in normal aging : a diffusion tensor imaging study with higher-order polynomial regression models
Author
Faculty/Department
Faculty of Sciences. Physics
Research group
Vision lab
Publication type
article
Publication
New York,
Subject
Human medicine
Computer. Automation
Source (journal)
Neuroimage. - New York
Volume/pages
49(2010):1, p. 32-43
ISSN
1053-8119
ISI
000272031700004
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Diffusion tensor imaging (DTI) has already proven to be a valuable tool when investigating both global and regional microstructural white matter (WM) brain changes in the human aging process. Although subject to many criticisms, voxel-based analysis is currently one of the most common and preferred approaches in such DTI aging studies. In this context, voxel-based DTI analyses have assumed a 'linear' correlation when finding the significant brain regions that relate age with a particular diffusion measure of interest. Recent literature, however, has clearly demonstrated 'non-linear' relationships between age and diffusion metrics by using region-of-interest and tractography-based approaches. In this work, we incorporated polynomial regression models in the voxel-based DTI analysis framework to assess age-related changes in WM diffusion properties (fractional anisotropy and axial, transverse, and mean diffusivity) in a large cohort of 346 subjects (25 to 81 years old). Our novel approach clearly demonstrates that voxel-based DTI analyses can greatly benefit from incorporating higher-order regression models when investigating potential relationships between aging and diffusion properties. (c) 2009 Elsevier Inc. All rights reserved.
E-info
https://repository.uantwerpen.be/docman/iruaauth/47902f/f679896f87f.pdf
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