Keywords: Quantitative Imaging, Quantitative ImagingQuantitative MRI can observe biologically distinct microstructural processes that shows great potential in aging research. In this work, we studied the trajectories of R1map changes in aging brain and found R1map regions with significant changes in different age groups (young, middle-aged, and elderly groups). Graph theoretical analysis of covariance networks revealed global clustering coefficient of youth group is higher than that of middle-aged and elderly groups. Association analysis of spatial gene expression patterns with changes in R1map at the brain region level reveal that the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway is mainly enriched in various neurodegenerative diseases.
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