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Path-based Differential Analysis in Near-centenarians and Centenarians Brain Network.

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    Summary
    This summary is machine-generated.

    Brain network paths in dementia-free centenarians reveal key differences, highlighting visual and cognitive control domain disconnections crucial for successful cognitive aging.

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    Area of Science:

    • Neuroscience
    • Cognitive Science
    • Graph Theory

    Background:

    • Investigating brain networks in dementia-free centenarians offers insights into preserved cognitive function.
    • Graph theory is used in aging studies, but path analysis is underexplored.

    Purpose of the Study:

    • To introduce a novel approach for estimating brain graphs using Gaussian graphical models.
    • To identify unique path disruptions in centenarians' brain networks compared to younger individuals.

    Main Methods:

    • Utilized Gaussian graphical models to estimate brain graphs for younger and centenarian groups.
    • Applied graph theory to pinpoint critical edges with altered path initiation or absence in centenarians.

    Main Results:

    • Identified two critical edges associated with disconnections in brain networks.
    • Disconnections were observed within and between functional domains, notably the visual and cognitive control domains.

    Conclusions:

    • The findings advance understanding of brain networks in centenarians and successful cognitive aging.
    • Elucidating pathway disruptions may inform targeted interventions for cognitive health in aging populations.