Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease.
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Authors
Colgan, NSiow, 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
Issue Date
2015-10-23Keywords
ALZHEIMER'S DISEASENEUROLOGY
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Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease. 2015, 125:739-744 NeuroimagePublisher
NeuroImageJournal
NeuroImageDOI
10.1016/j.neuroimage.2015.10.043PubMed ID
26505297Abstract
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
ArticleLanguage
enISSN
1095-9572ae974a485f413a2113503eed53cd6c53
10.1016/j.neuroimage.2015.10.043