Microstructural white matter changes in normal aging

A diffusion tensor imaging study with higher-order polynomial regression models

Jung Lung Hsu, Wim Van Hecke, Chyi Huey Bai, Cheng Hui Lee, Yuh Feng Tsai, Hou Chang Chiu, Fu Shan Jaw, Chien Yeh Hsu, Jyu Gang Leu, Wei Hung Chen, Alexander Leemans

Research output: Contribution to journalArticle

70 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)32-43
Number of pages12
JournalNeuroImage
Volume49
Issue number1
DOIs
Publication statusPublished - Jan 1 2010
Externally publishedYes

Fingerprint

Diffusion Tensor Imaging
Statistical Models
Anisotropy
Brain
White Matter

Keywords

  • Aging
  • DTI
  • Higher-order polynomial regression
  • Voxel-based analysis

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Microstructural white matter changes in normal aging : A diffusion tensor imaging study with higher-order polynomial regression models. / Hsu, Jung Lung; Van Hecke, Wim; Bai, Chyi Huey; Lee, Cheng Hui; Tsai, Yuh Feng; Chiu, Hou Chang; Jaw, Fu Shan; Hsu, Chien Yeh; Leu, Jyu Gang; Chen, Wei Hung; Leemans, Alexander.

In: NeuroImage, Vol. 49, No. 1, 01.01.2010, p. 32-43.

Research output: Contribution to journalArticle

Hsu, JL, Van Hecke, W, Bai, CH, Lee, CH, Tsai, YF, Chiu, HC, Jaw, FS, Hsu, CY, Leu, JG, Chen, WH & Leemans, A 2010, 'Microstructural white matter changes in normal aging: A diffusion tensor imaging study with higher-order polynomial regression models', NeuroImage, vol. 49, no. 1, pp. 32-43. https://doi.org/10.1016/j.neuroimage.2009.08.031
Hsu, Jung Lung ; Van Hecke, Wim ; Bai, Chyi Huey ; Lee, Cheng Hui ; Tsai, Yuh Feng ; Chiu, Hou Chang ; Jaw, Fu Shan ; Hsu, Chien Yeh ; Leu, Jyu Gang ; Chen, Wei Hung ; Leemans, Alexander. / Microstructural white matter changes in normal aging : A diffusion tensor imaging study with higher-order polynomial regression models. In: NeuroImage. 2010 ; Vol. 49, No. 1. pp. 32-43.
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