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
In this work, we first developed an algorithm to automatically segment and quantify EPVS in brain MRI, 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.
Figure 1. Study overview. From left to right, 817 ex-vivo participants were preprocessed and their corresponding EPVS masks were generated using a deep learning segmentation model. EPVS were quantified in the whole brain and multiple ROIs to investigate the associations of EPVS with neuropathologies, cognition, demographics and risk factors. This study found EPVS to be associated with gross and microscopic infarcts, cerebral amyloid angiopathy, cognitive decline in visuospatial ability, and with diabetes.
Figure 5. Neuropathologic, demographic, and risk factor associations of quantified EPVS in each of the brain ROIs evaluated in this study. Abbreviations and format shown at the bottom of the figure.