Dr. Robert I. Reid Profile

Dr. Robert I. Reid

at Mayo Clinic and Foundation

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Proceedings Article | 21 December 2018 Paper

Ranking diffusion tensor measures of brain aging and Alzheimer’s disease

Artemis Zavaliangos-Petropulu, Talia Nir, Sophia Thomopoulos, Neda Jahanshad, Robert Reid, Matthew Bernstein, Bret Borowski, Clifford Jack, Michael Weiner, Paul Thompson

Proceedings Volume 10975, 109750O (2018) https://doi.org/10.1117/12.2506694

KEYWORDS: Cognitive modeling, Data modeling, Scanners, Diffusion, Computer generated holography, Neuroimaging, Alzheimer's disease, Anisotropy, Diffusion tensor imaging, Brain

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Diffusion-weighted MRI (dMRI) offers a range of measures that are sensitive to brain aging and neurodegeneration. Here we analyzed data from 318 participants (mean age: 75.4±7.9 years; 143 men/175 women) from the third phase of the Alzheimer’s Disease Neuroimaging Initiative (ADNI3), who were each scanned with one of six different diffusion MRI protocols using scanners from three different manufacturers. We computed 4 standard diffusion tensor imaging (DTI) anisotropy and diffusivity indices, and one advanced anisotropy index based on the tensor distribution function (TDF), in 24 white matter regions of interest. Modeling protocol effects, we ranked the diffusion indices for their strength of correlation with 3 standard clinical measures of cognitive impairment: the ADAS-Cog, MMSE, and sum-of-boxes Clinical Dementia Rating. Across all dMRI indices and cognitive measures, the cingulum-hippocampal region and the uncinate showed some of the strongest associations with cognitive impairment; largest effect sizes were detected with axial diffusivity (Ax^DDTI). While fractional anisotropy (FA) derived from the DTI model was the weakest in detecting associations with cognitive measures, FA derived from the TDF detected widespread, robust associations. Protocol differences affected dMRI indices; however by modeling protocol effects, we were able to pool dMRI data from multiple acquisition protocols and detect consistent associations with cognitive impairment and age. dMRI indices computed from the upgraded scanning protocols in ADNI3 were sensitive to cognitive impairment in brain aging, offering a benchmark to compare to future multi-shell or multi-compartment diffusion indices.

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