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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 Arfanakis1,2
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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