Abstract #4064

Association of MRI-derived Glymphatic Function with Cognition and Cerebral Small Vessel Disease

Boyu Zhang^1,2,3, Yajing Huo⁴, Zidong Yang^5,6, Shuai Xv^1,2, Yuchen Liu^1,2, Rencheng Zheng^1,2, Ying-Hua Chu⁷, Yan Han⁴, and He Wang^1,2,8

¹Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, ²Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China, ³Department of Materials Science, Fudan University, Shanghai, China, ⁴Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China, ⁵USC Viterbi School of Engineering, University of Southern California, Shanghai, China, ⁶Laboratory of FMRI Technology, USC Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Shanghai, China, ⁷MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, ⁸Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China

Synopsis

Keywords: Dementia, Dementia, cerebral small vessel disease, glymphatic system

Motivation: Both cerebral small vessel disease (CSVD) and disfunction of glymphatic system contribute to cognition decline, yet the interactions between them remains unclear.

Goal(s): Identify associations of glymphatic function with cognitive function and CSVD.

Approach: 111 CSVD subjects were involved and underwent 7T MRI scans. CSVD makers, neuropsychological test and clinical characteristics were collected. Linear regression and mediation model were used to access the associations.

Results: Age and CSVD markers were associated with glymphatic function in the multivariable model. The relationship between glymphatic function and cognition was mediated by CSVD burden.

Impact: MRI-derived glymphatic features might be utilized to predict early CSVD-induced cognitive decline.

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