New Study Reveals Shared Brain Aging Patterns in Mice and Humans

Maret 25, 2026 - 18:15
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New Study Reveals Shared Brain Aging Patterns in Mice and Humans

A new study from the Columbia University Zuckerman Institute and the University of Texas at Dallas reveals that brain aging patterns in mice closely resemble those in humans, offering valuable insights into cognitive decline and age-related diseases.

Published in Proceedings of the National Academy of Sciences, the research used functional magnetic resonance imaging to scan the brains of 82 mice across their lifespan. This advanced imaging technique tracks blood flow changes to study brain activity and connectivity. Researchers observed that, like humans, aging mice show reduced specialization in brain networks—known as “modules”—which are responsible for specific functions such as memory and perception.

This decline in modular organization is linked to reduced cognitive performance, including memory loss. Importantly, the findings suggest that fundamental mechanisms of brain aging are shared across species, making mice a powerful model for studying neurological decline.

However, key differences were also noted. Human brains showed greater connectivity between modules compared to mice, which may support more complex cognitive abilities. At the same time, this higher integration may make humans more vulnerable to faster cognitive decline with aging.

The study highlights the advantage of using mice to explore long-term factors influencing brain health, such as genetics, diet, and environmental exposures—without the decades required for human studies. Researchers also emphasized that examining brain function at both cellular and network levels could improve the development of effective therapies.

Overall, the findings open new avenues for understanding aging-related brain disorders and identifying strategies to slow or potentially reverse cognitive decline, bringing scientists closer to targeted interventions for conditions like dementia.

REFERENCE: The Zuckerman Institute at Columbia University; DOI: 10.1073/pnas.2527522123

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