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Abstract #3679

Tensor-Based Morphometry as a Sensitive Biomarker of Alzheimers Disease Neuropathology in a Tau Transgenic Mouse

Holly Elizabeth Holmes1, Nick M. Powell*1, 2, Jack A. Wells1, Niall Colgan1, James M. O'Callaghan1, Da Ma1, 2, Marc Modat2, Manuel Jorge Cardoso2, Simon Richardson1, Bernard M. Siow1, Michael J. O'Neill3, E Catherine Collins4, Elizabeth Fisher5, Sebastien Ourselin2, Mark F. Lythgoe1

1Centre for Advanced Biomedical Imaging, University College London, London, Greater London, United Kingdom; 2Centre for Medical Image Computing, University College London, London, Greater London, United Kingdom; 3Eli Lilly & Co. Ltd, Windlesham, Surrey, United Kingdom; 4Eli Lilly & Co. Ltd, Indianapolis, IN, United States; 5Institute of Neurology, University College London, London, Greater London, United Kingdom

Preclinical MRI has become a promising technique to examine mouse brain morphology. In this study, we employed an optimised sequence for high resolution 3D in vivo imaging. We used a novel automatic image analysis toolbox to examine a mouse model of Alzheimers disease (rTg4510). Tensor-based morphometry analysis revealed significant changes in local brain volume between this model and age-matched wild-types. Our findings correspond to expected changes, including hippocampal and forebrain atrophy, as well as ventricular dilation.

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Keywords

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