Abstract #1686

Enlarged Perivascular Spaces in Older Adults: Segmentation by Deep Learning; Correlations with Neuropathology and Cognitive Decline

Carles Javierre Petit¹, Ashish A. Tamhane², Arnold M. Evia¹, Nazanin Makkinejad¹, Gady Agam³, David A. Bennett², Julie A. Schneider², and Konstantinos Arfanakis^1,2

¹Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, ²Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, United States, ³Computer Science, Illinois Institute of Technology, Chicago, IL, United States

Enlarged perivascular spaces (EPVS) are common in aging and have been linked to increased risk of stroke, lower cognitive function, and vascular dementia. However, the neuropathologic correlates of EPVS, as well as the contributions of EPVS to cognition, are not well understood. In this work, we first developed a deep-learning algorithm for automatic segmentation and full quantification of whole brain and regional EPVS, and then studied the neuropathologic correlates of EPVS as well as the contributions of EPVS on cognition in a large community-based cohort of older adults.

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