Correspondence of large-scale functional brain network decline across aging mice and humans
Human cognitive aging is characterized by a progressive breakdown in the organization of large-scale functional brain networks. Specifically, the brain loses its modular architecture—a metric known as “system segregation”—leading to functional dedifferentiation where distinct brain networks blur together. [Confidence: High]. Until now, an absence of precise imaging in unanesthetized animal models has limited our ability to cross-reference human neurological aging with the genetic and cellular tools available in mice.
Using high-density resting-state functional MRI on awake mice, researchers mapped the functional connectome across the adult murine lifespan. The data reveal that mice exhibit a conserved trajectory of brain network dedifferentiation analogous to human aging. However, the study identifies critical evolutionary divergences: mouse brains are highly segregated with limited long-range connections, whereas human brains rely heavily on metabolically expensive, long-range networks to integrate complex cognitive tasks. [Confidence: High]. Consequently, mice exhibit a slower baseline rate of network decline compared to humans.
By establishing a translatable imaging biomarker for large-scale brain network aging, this research provides a functional meso-scale bridge. It allows for the non-invasive tracking of network integrity over a mouse’s lifespan, establishing a crucial framework for evaluating the efficacy of emerging neuroprotective and life-extending therapeutics prior to human trials.
Institution: Center for Vital Longevity at The University of Texas at Dallas, Technion-Israel Institute of Technology, and Columbia University. Country: United States, Israel. Journal: Proceedings of the National Academy of Sciences (PNAS).
Impact Evaluation: The impact score of this journal is 11.1, evaluated against a typical high-end range of 0–60+ for top general science, therefore this is a High impact journal.
Open Access Paper: https://www.pnas.org/doi/10.1073/pnas.2527522123
Mechanistic Deep Dive The study evaluates meso-scale topological features (system segregation) rather than probing intracellular longevity pathways like mTOR, AMPK, or cGAS-STING. [Confidence: High]. However, maintaining system segregation emerges as a critical organ-specific aging priority for the central nervous system. The structural degradation of functional networks likely mirrors the downstream effects of mitochondrial dysfunction, synapse loss, and reduced neuronal selectivity observed at the cellular level. [Confidence: Medium]. For longevity therapeutics aimed at preserving cognitive function, demonstrating the preservation of brain network modularity via fMRI represents a highly translational efficacy endpoint.
Novelty This paper resolves the confounding variable of anesthesia in preclinical fMRI models by utilizing an awake-imaging protocol, yielding network data functionally comparable to human resting-state scans. [Confidence: High]. It quantifies the structural compromises made in human brain evolution: our reliance on long-range associative connectivity drives rapid integration but comes with an accelerated trajectory of functional dedifferentiation over time compared to rodents