Keywords: Aging, Aging, qMT, Brain entropy
Motivation: Identifying biomarkers of brain aging is important for understanding the mechanisms of aging-related changes that are potentially indicative of underlying neurological conditions.
Goal(s): We aimed to identify in vivo biomarkers sensitive to aging-associated brain changes in healthy subjects using a novel qMT MRI.
Approach: Rapid hybrid-state qMT imaging combined with an unconstrained 2-pool model was performed with 1-mm isotropic resolution and whole-brain coverage. The entropy of qMT parameters was calculated within ROIs, and a correlation analysis was performed between entropy and age.
Results: Significant correlations between the entropy of qMT parameters and age were found across the brain.
Impact: Our demonstration of qMT brain entropy as a sensitive indicator of normal aging-associated changes throughout the brain provides a potential quantitative biomarker that can be utilized to detect underlying neurological conditions linked to aging, enabling timely intervention.
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