|
Title
|
|
|
|
Microstructural white matter changes in normal aging : a diffusion tensor imaging study with higher-order polynomial regression models
| |
|
Author
|
|
|
|
| |
|
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. |
| |
|
Language
|
|
|
|
English
| |
|
Source (journal)
|
|
|
|
Neuroimage. - New York
| |
|
Publication
|
|
|
|
New York
:
2010
| |
|
ISSN
|
|
|
|
1053-8119
| |
|
DOI
|
|
|
|
10.1016/J.NEUROIMAGE.2009.08.031
| |
|
Volume/pages
|
|
|
|
49
:1
(2010)
, p. 32-43
| |
|
ISI
|
|
|
|
000272031700004
| |
|
Full text (Publisher's DOI)
|
|
|
|
| |
|
Full text (publisher's version - intranet only)
|
|
|
|
| |
|