Jiaying Zhang1, Catherine F Slattery2, Ross W Paterson2, Alexander JM Foulkes2, Laura Mancini2, David L Thomas2, Marc Modat1, Nicolas Toussaint2, David M Cash2, John S Thornton2, Daniel C Alexander1, Sebastien Ourselin1, Nick C Fox2, Jonathan M Schott2, and Hui Zhang1
1Department of Computer Science and Centre for medical image computing, University College London, London, United Kingdom, 2Department of Neurodegenerative disease, Institute of Neurology, University College London, London, United Kingdom
Alzheimer's
disease (AD) is now increasingly considered as a disorder of brain networks.
Therefore, it is important to quantify the integrity of white matter (WM) connections
in AD populations. Previous DTI studies have shown WM breakdown in patients with
young onset AD (YOAD), but DTI parameters are not specific to any tissue
property. Here we investigated WM changes using NODDI and DTI in YOAD patients
using TBSS and explored whether unique patterns of WM changes exist in YOAD
subtypes. We
found NODDI was more sensitive than DTI and demonstrated different profiles of WM
damage in YOAD syndromic subgroups.
