Keywords: Alzheimer's Disease, Quantitative ImagingMorphometric and quantitative MRI metrics have rarely been used simultaneously to characterize healthy aging and Alzheimer’s disease (AD) progression. Here, cortical vertex-wise and hippocampal voxel-wise metrics were extracted to infer atrophy progression (using cortical thickness, surface area or relative Jacobians), myelin and iron contents (T1 and T2* respectively). A data-driven approach was used to parcellate the cortex and the hippocampus. A multivariate statistical technique was used to link hippocampal and cortical metrics to demographics and cognitive scores of interest. Our results suggest that AD-related neural risk is associated with neurodegeneration and microstructural changes in the cortex and hippocampus, respectively.
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