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Abstract #4903

Analyzing CBF Connectivity Differences Affected by Hypertension in Arterial Spin Labelled Data Using Graph Theory

William D Reeves1, Ishfaque Ahmed1, Wenwu Sun1, Michelle Brown2, Celestine Williams2, Catherine L Davis2, Jennifer E McDowell3, Nathan Yanasak4, Shaoyong Su2, and Qun Zhao1
1Department of Physics, University of Georgia, Athens, GA, United States, 2Georgia Prevention Institute, Augusta University, Augusta, GA, United States, 3Department of Psychology, University of Georgia, Athens, GA, United States, 4Department of Radiology and Imaging, Augusta University, Augusta, GA, United States


In a cross-sectional study of hypertension and its effects on brain connectivity, graph theory can be used to show cerebral blood flow connectivity differences between normotensive (n=32) and hypertensive (n=37) subjects. We obtain adjacency matrices from processed arterial spin labelling scans which can be used to determine several quantifications based on graph theory analysis. We find that normotensive subjects exhibit higher small-worldness and global efficiency (σ = 3.30 and Eglob = 0.73) compared to hypertensive subjects (σ = 1.82 and Eglob = 0.46). This trend continues for nearly all thresholding values and implies a measurable perfusion difference between the groups.

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