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Abstract #4564

Detection of Cortical Perivascular Spaces using Heavily T2-weighted MRI at 7T

Gael Saib1, Zeynep H Demir1, Paul A Taylor2, S Lalith Talagala3, and Alan P Koretsky1
1Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke/NIH, Bethesda, MD, United States, 2Scientific and Statistical Computing Core, National Institute of Mental Health/NIH, Bethesda, MD, United States, 3NIH MRI Research Facility, National Institute of Neurological Disorders and Stroke/NIH, Bethesda, MD, United States

Synopsis

Keywords: Neurofluids, Neurofluids, Perivascular spaces, Ultra-High Field MRI, Cortex

Motivation: Cortical PVS have received limited attention because of detection challenges due to their small size. However, they may hold valuable insights into neurological disorders.

Goal(s): This work aims to classify and quantify cortical PVS detected in healthy participants.

Approach: Using optimized 7T heavily T2-weigthed MRI, we classified PVS morphologies based on their location related to intraparenchymal arteries in connection with the cortex and quantified their density throughout the whole brain.

Results: Four characteristic classes of PVS associated with the cortex were consistently identified. Cortical PVS density was highest in the insula and 3 times lower compared to white matter in the whole brain.

Impact: This study lays the groundwork for assessing the diagnostic utility of detecting cortical PVS changes as well as understanding the mechanisms for structural changes in cortex due to neurological disorders.

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Keywords