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

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    Authors
    Colgan, N
    Siow, B
    O'Callaghan, J M
    Harrison, I F
    Wells, J A
    Holmes, H E
    Ismail, O
    Richardson, S
    Alexander, D C
    Collins, E C
    Fisher, E M
    Johnson, R
    Schwarz, A J
    Ahmed, Z
    O'Neill, M J
    Murray, T K
    Zhang, H
    Lythgoe, M F
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    Issue Date
    2015-10-23
    Keywords
    ALZHEIMER'S DISEASE
    NEUROLOGY
    
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    Citation
    Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease. 2015, 125:739-744 Neuroimage
    Publisher
    NeuroImage
    Journal
    NeuroImage
    URI
    http://hdl.handle.net/10147/583447
    DOI
    10.1016/j.neuroimage.2015.10.043
    PubMed ID
    26505297
    Abstract
    Increased 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.
    Item Type
    Article
    Language
    en
    ISSN
    1095-9572
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.neuroimage.2015.10.043
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    Galway University Hospitals

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