• NeuroImage · Jan 2016

    Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease.

    • N Colgan, B Siow, J M O'Callaghan, I F Harrison, J A Wells, H E Holmes, O Ismail, S Richardson, D C Alexander, E C Collins, E M Fisher, R Johnson, A J Schwarz, Z Ahmed, M J O'Neill, T K Murray, H Zhang, and M F Lythgoe.
    • UCL Centre for Advanced Biomedical Imaging , Division of Medicine, University College London, UK; Department of Medical Physics and Bioengineering, Saolta University Health Care Group, University Hospital Galway, Newcastle Road, Galway, H91 YR71, Ireland. Electronic address: n.colgan@ucl.ac.uk.
    • Neuroimage. 2016 Jan 15; 125: 739-744.

    AbstractIncreased hyperphosphorylated tau and the formation of intracellular neurofibrillary tangles are associated with the loss of neurons and cognitive decline in Alzheimer's disease, and related neurodegenerative conditions. We applied two diffusion models, diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI), to in vivo diffusion magnetic resonance images (dMRI) of a mouse model of human tauopathy (rTg4510) at 8.5months of age. In grey matter regions with the highest degree of tau burden, microstructural indices provided by both NODDI and DTI discriminated the rTg4510 (TG) animals from wild type (WT) controls; however only the neurite density index (NDI) (the volume fraction that comprises axons or dendrites) from the NODDI model correlated with the histological measurements of the levels of hyperphosphorylated tau protein. Reductions in diffusion directionality were observed when implementing both models in the white matter region of the corpus callosum, with lower fractional anisotropy (DTI) and higher orientation dispersion (NODDI) observed in the TG animals. In comparison to DTI, histological measures of tau pathology were more closely correlated with NODDI parameters in this region. This in vivo dMRI study demonstrates that NODDI identifies potential tissue sources contributing to DTI indices and NODDI may provide greater specificity to pathology in Alzheimer's disease.Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

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