Selective effects of aging on brain white matter microstructure: A diffusion tensor imaging tractography study

We examined age-related changes in the cerebral white matter. Structural magnetic resonance images (MRIs) and diffusion tensor images (DTIs) were acquired from 69 healthy subjects aged 22–84years. Quantitative DTI tractography was performed for nine different white matter tracts to determine tract v...

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Bibliographic Details
Published in:NeuroImage (Orlando, Fla.) Fla.), 2010-10, Vol.52 (4), p.1190-1201
Main Authors: Michielse, Stijn, Coupland, Nick, Camicioli, Richard, Carter, Rawle, Seres, Peter, Sabino, Jennifer, Malykhin, Nikolai
Format: Article
Language:English
Subjects:
Adult
Age
Aged
Aged, 80 and over
Aging
Aging - pathology
Attention deficit hyperactivity disorder
Brain
Brain - pathology
Cerebrospinal fluid
Cingulum
Corpus callosum
Diffusion
Diffusion tensor imaging
Diffusion Tensor Imaging - methods
Female
Fornix
Gray matter
Humans
Male
Medical research
Microstructure
Middle Aged
MRI
Nerve Fibers, Myelinated - ultrastructure
Studies
Tractography
Uncinate fasciculus
White matter
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Summary:We examined age-related changes in the cerebral white matter. Structural magnetic resonance images (MRIs) and diffusion tensor images (DTIs) were acquired from 69 healthy subjects aged 22–84years. Quantitative DTI tractography was performed for nine different white matter tracts to determine tract volume, fractional anisotropy (FA), mean diffusivity (MD), axial, and radial diffusivities. We used automated and manual segmentation to determine volumes of gray matter (GM), white mater (WM), cerebrospinal fluid (CSF), and intracranial space. The results showed significant effects of aging on WM, GM, CSF volumes, and selective effects of aging on structural integrity of different white matter tracts. WM of the prefrontal region was the most vulnerable to aging, while temporal lobe connections, cingulum, and parieto-occipital commissural connections showed relative preservation with age. This study was cross-sectional, and therefore, additional longitudinal studies are needed to confirm our findings.
ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2010.05.019