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Abstract #2364

Neuropathologic and Cognitive Correlates of Automatically Segmented Enlarged Perivascular Spaces in Community-based Older Adults

Carles Javierre-Petit1, Ashish A. Tamhane2, Arnold M. Evia2, Marinos Kontzialis2, Nazanin Makkinejad1, Gady Agam1, David A. Bennett2, Julie A. Schneider2, and Konstantinos Arfanakis1,2
1Illinois Institute of Technology, Chicago, IL, United States, 2Rush University Medical Center, Chicago, IL, United States

Perivascular spaces form a network that enables clearance of waste products from the brain. Abnormal enlargement of perivascular spaces is common in older adults and has been linked to cognitive impairment and dementia. However, the neuropathologic and cognitive correlates of enlarged perivascular spaces (EPVS) are not well understood yet. In this work, we first developed an algorithm to automatically segment and quantify EPVS in brain MR images, and then investigated the neuropathologic correlates of total and regional EPVS, as well as the contributions of EPVS on cognitive decline in a large community-based cohort of 817 older adults.

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