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Integrated transcriptomic and neuroimaging brain model decodes biological mechanisms in aging and Alzheimer's disease
2021
eLife
Both healthy aging and Alzheimer's disease (AD) are characterized by concurrent alterations in several biological factors. However, generative brain models of aging and AD are limited in incorporating the measures of these biological factors at different spatial resolutions. Here, we propose a personalized bottom-up spatiotemporal brain model that accounts for the direct interplay between hundreds of RNA transcripts and multiple macroscopic neuroimaging modalities (PET, MRI). In normal elderly
doi:10.7554/elife.62589
fatcat:xsjoim5fdjevdf4qfcdhhbxpgy