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Abstract #3256

RaPPiD: A Region-Specific MRI Metric for Assessing Glymphatic Function and Its Relation to Sleep Quality and Cardiovascular Health

Yaqiong Chai1, Harmony Selena Cen2, Andrew Shinho Kim3, Gilsoon Park2, Emily Goun Lee4, Kirsten Lynch5, Kyung Wook Kang6, and Hosung Kim2
1University of Southern California, South Pasadena, CA, United States, 2Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States, 3Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, United States, 4Undergraduate Neuroscience Interdepartmental Program, University of California - Los Angeles, Los Angeles, CA, United States, 5University of Southern California, Los Angeles, CA, United States, 6Chonnam National University Medical School, Chonnam National University, Gwangju, Korea, Republic of

Synopsis

Keywords: Data Processing, Diffusion Analysis and Visualization, Glymphatic function

Motivation: The glymphatic system plays a vital role in clearing waste from the brain, yet current imaging techniques lack regional specificity, overlooking crucial cortical areas and subcortical white matter (sWM).

Goal(s): Develop a metric, RaPPiD to measure glymphatic function within defined brain regions, linking it to sleep quality.

Approach: Using T2 MRI and multi-shell diffusion-weighted imaging, we isolated water diffusivity in periarterial spaces , calculating RaPPiD as a ratio of perpendicular to parallel PAS diffusivity in nine functional sWM ROIs.

Results: RaPPiD successfully identified region-specific associations, with lower RaPPiD in FPN and limbic regions correlating with higher PSQI scores.

Impact: This study's development of RaPPiD enables precise, region-specific assessment of glymphatic function, advancing understanding of brain waste clearance. Clinicians may use RaPPiD to identify glymphatic impairments linked to sleep and cardiovascular health, guiding potential interventions and research in neurodegenerative disease.

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