ArticleCommunications biology2024
Longitudinal monitoring of the mouse brain reveals heterogenous network trajectories during aging.
Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Excitatory and inhibitory networks diverge following early blindness.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Early Multimodal Motor Training After Stroke Promotes Motor Recovery and Whole-Brain Structural Remodeling.Journal of the American Heart Association · 2026Article
- Correspondence of large-scale functional brain network decline across aging mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- CEST MRI reveals nicotine-induced alterations in glutamate-associated molecular connectivity in the mouse brain.Frontiers in neuroscience · 2026Article
- Longitudinal tractography of the mouse corpus callosum reveals topographical order and differences due to sex and aging.Brain structure & function · 2025Article
- Layer-specific changes in sensory cortex across the lifespan in mice and humans.Nature neuroscience · 2025Article
- Aging-dependent loss of functional connectivity in a mouse model of Alzheimer's disease and reversal by mGluR5 modulator.Molecular psychiatry · 2025Article
- A metabolomic profile of biological aging in 250,341 individuals from the UK Biobank.Nature communications · 2024Article
- Longitudinal monitoring of the mouse brain reveals heterogenous network trajectories during aging.Communications biology · 2024Article
- Sex in aging matters: exercise and chronic stress differentially impact females and males across the lifespan.Frontiers in aging neuroscience · 2024Article
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Authors and funding
8 authors.
Funding
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 mice showed a pattern akin to human aging, with de-differentiation of the connectome, mainly due to increases in connectivity of the prefrontal/DMN cortical networks to other modules. Our male cohorts revealed heterogenous aging patterns with only one group confirming the de- differentiation, while the majority showed an increase in connectivity of the somatomotor cortex to the Nucleus accumbens. In summary, in line with human work, our analysis in mice supports the concept of de-differentiation in the aging mammalian brain and reveals additional trajectories in aging mice networks.
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