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Microstructural white matter changes in normal aging: a diffusion tensor imaging study with higher-order polynomial regression models.
- Source :
-
NeuroImage [Neuroimage] 2010 Jan 01; Vol. 49 (1), pp. 32-43. Date of Electronic Publication: 2009 Aug 21. - Publication Year :
- 2010
-
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.
Details
- Language :
- English
- ISSN :
- 1095-9572
- Volume :
- 49
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- NeuroImage
- Publication Type :
- Academic Journal
- Accession number :
- 19699804
- Full Text :
- https://doi.org/10.1016/j.neuroimage.2009.08.031