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Abstract #3774

Exploring Brain Entropy Across the Adult Lifespan by Using a Novel Rapid Quantitative Magnetization Transfer MRI

Sohae Chung1,2, Sebastian Flassbeck1,2, Elisa Marchetto1,2, Andrew Mao1,2, Alaleh Alivar1,2, Yvonne W. Lui1,2, and Jakob Assländer1,2
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States

Synopsis

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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