Integrated transcriptomic and neuroimaging brain model decodes biological mechanisms in aging and Alzheimer's disease.

ABSTRACT: 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 and AD participants, the model identifies top genes modulating tau and amyloid-β burdens, vascular flow, glucose metabolism, functional activity, and atrophy to drive cognitive decline. The results also revealed that AD and healthy aging share specific biological mechanisms, even though AD is a separ

SUBMITTER: Adewale Q 

PROVIDER: S-EPMC8131100 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature