Abstract
Brain maintenance may help explain why some individuals remain cognitively resilient despite aging, but its biological basis is not well understood. Here, we show that brain maintenance can be quantified from the relationship between brain structure and function. Using structural MRI and resting-state functional MRI from 1280 older adults, we built a model based on young adults to estimate the functional capacity supported by preserved brain structure, and defined brain maintenance as the difference between predicted and observed function. Brain maintenance was most evident in prefrontal, cingulate, and precuneus regions and was enriched in higher-order functional networks. Higher brain maintenance was associated with slower cognitive decline, lower amyloid-β burden, and domain-specific variation in memory, attention, and processing speed. These findings provide a biologically grounded marker of resilience in healthy and pathological aging.
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We thank all participants, their relatives, and our community partners for their support and participation in this study. This work was supported by Brain Science and Brain-like Intelligence Technology - National Science and Technology Major Project (2022ZD0211600, ZZJ), the State Key Program of the National Natural Science Foundation of China (82130118, ZZJ), the Beijing Natural Science Foundation (5262011, LX), Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning (CNLYB2402, LX), and the Tang Scholar Program (LX).
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Li, Y., Zhang, X., Li, X. et al. Brain maintenance biomarkers from structural and functional interactions in aging and neurodegeneration. Nat Commun (2026). https://doi.org/10.1038/s41467-026-73071-7
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DOI: https://doi.org/10.1038/s41467-026-73071-7


