Quantifying the Effects of Normal Ageing on White Matter Structure using Unsupervised Tract Shape Modelling
NeuroImage
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Date
05/2010Author
Bastin, Mark
Munoz Maniega, Susana
Ferguson, Karen J
Brown, Laura J
Wardlaw, Joanna M
MacLullich, Alasdair M
Clayden, Jonathan D
Metadata
Abstract
Quantitative tractography may provide insights into regional heterogeneity of changes in
white matter structure in normal ageing. Here we examine how brain atrophy and white matter lesions
affect correlations between tract shape, tract integrity and age in a range of frontal and non-frontal
tracts in 90 non-demented subjects aged over 65 years using an enhanced version of probabilistic
neighbourhood tractography. This novel method for automatic single seed point placement employs
unsupervised learning and streamline selection to provide reliable and accurate tract segmentation,
whilst also indicating how the shape of an individual tract compares to that of a predefined reference
tract. There were significant negative correlations between tract shape similarity to reference tracts
derived from a young brain white matter atlas and age in genu and splenium of corpus callosum.
Controlling for intracranial and lateral ventricle volume, the latter of which increased significantly with
age, attenuated these correlations by 40 and 84 % respectively, indicating that this age-related change
in callosal tract topology is significantly mediated by global atrophy and ventricular enlargement. In
accordance with the 'frontal ageing' hypothesis, there was a significant positive correlation between
mean diffusivity (<D>) and age, and a significant negative correlation between fractional anisotropy
(FA) and age in corpus callosum genu; correlations not seen in splenium. Significant positive
correlations were also observed between <D> and age in bilateral cingulum cingulate gyri, uncinate
fasciculi and right corticospinal tract. This pattern of correlations was not, however, reproduced when
those subjects with significant white matter lesion load were analyzed separately from those without.
These data therefore suggest that brain atrophy and white matter lesions play a significant role in
driving regional patterns of age-related changes in white matter tract shape and integrity.