Abstract #1002

Sleep and Cardiovascular Risk Variables Predict Perivascular Space Morphological Alterations in the Aging Brain

Hedong Zhang¹, Carlos Robles^1,2, Andrew Shinho Kim^1,3, Xingfeng Shao¹, Kyung Wook Kang^1,4, Jiyoung Kim^1,5, Yoon Sang Oh^1,6, Abigail Trang^1,7, Emily Lee^1,8, Hyunjin Jo^1,9, Yeonsil Moon¹⁰, Hosung Kim¹, and Yaqiong Chai¹

¹Neurology, Laboratory of NeuroImaging, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ²Scripps College, Claremont, CA, United States, ³Health Promotion and Disease Prevention Studies, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ⁴Neurology, Chonnam National University Medical School and Hospital, Gwangju, Korea, Republic of, ⁵Pusan National University School of Medicine, Busan, Korea, Republic of, ⁶Neurology, College of Medicine, Catholic University of Korea, Seoul, Korea, Republic of, ⁷Department of Biological Sciences,University of Southern California, Los Angeles, CA, United States, ⁸University of California, Los Angeles, Los Angeles, CA, United States, ⁹Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of, ¹⁰Neurology, Konkuk University, Seoul, Korea, Republic of

Synopsis

Keywords: Diagnosis/Prediction, Aging

Motivation: Enlarged perivascular space (PVS) has been brought into attention in aging populations. However, which cardiovascular risk factors contribute to enlarged PVS are not well understood.

Goal(s): This study aims to quantify PVS morphology and investigate which cardiovascular risk factors contribute the PVS deformity in aging populations.

Approach: We employed random forest to predict PVS morphological changes using 9 cardiovascular risk factors and computed the importance index for all predictive factors.

Results: Our findings highlighted the significant role of sleep quality, being the best predictor to PVS count, linearity, and diameter. Cardiovascular risk factors such as triglycerides best predicted PVS tortuosity.

Impact: Our study is the first to investigate which cardiovascular risk factors are predictive of atypical PVS morphology. Our discovery provides valuable insights into the mechanism underlying PVS deformity and their subsequent impact on glymphatic system and cerebral vascular diseases.

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