Longitudinal monitoring of the mouse brain reveals heterogenous network trajectories during aging.

ABSTRACT: The human aging brain is characterized by changes in network efficiency that are currently best captured through longitudinal resting-state functional MRI (rs-fMRI). These studies however are challenging due to the long human lifespan. Here we show that the mouse animal model with a much shorter lifespan allows us to follow the functional network organization over most of the animal's adult lifetime. We used a longitudinal study of the functional connectivity of different brain regions with rs-fMRI under anesthesia. Our analysis uncovers network modules similar to those reported in younger mice and in humans (i.e., prefrontal/default mode network (DMN), somatomotor and somatosensory networks). Statistical analysis reveals different patterns of network reorganization during aging. Female mi

SUBMITTER: Ozalay O 

PROVIDER: S-EPMC10879497 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature