Data Sciences and Brain Health across the Life Course session in 2020 SICSA Conference Oct 01, 2020 01:15 PM - 03:15 PM — Virtual Meeting (online)
Ophthalmic Medical Image Analysis MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
Predictive Intelligence in Medicine MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
PET is Wonderful Annual Meeting 2020 Oct 27, 2020 02:00 PM - 05:40 PM — Virtual Meeting (online)

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Quantifying the effects of normal ageing on white matter structure using unsupervised tract shape modelling

Author(s): M. E. Bastin, S. M. Maniega, K. J. Ferguson, L. J. Brown, J. M. Wardlaw, A. M. J. MacLullich, J. D. Clayden

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 genii: 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. (C) 2010 Elsevier Inc. All rights reserved.

Full version: Available here

Click the link to go to an external website with the full version of the paper


ISBN: 1053-8119
Publication Year: 2010
Periodical: Neuroimage
Periodical Number: 1
Volume: 51
Pages: 1-10
Author Address: Bastin, ME Univ Edinburgh, Western Gen Hosp, Crewe Rd, Edinburgh EH4 2XU, Midlothian, Scotland Univ Edinburgh, SFC Brain Imaging Res Ctr, SINAPSE Collaborat, Edinburgh EH8 9YL, Midlothian, Scotland Univ Edinburgh, Div Clin Neurosci, Edinburgh EH8 9YL, Midlothian, Scotland UCL, Inst Child Hlth, London WC1E 6BT, England Univ Edinburgh, MRC Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh EH8 9YL, Midlothian, Scotland