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Abstract #2360

Assessment of cerebral white matter hemodynamics across the adult lifespan

Meher R. Juttukonda1,2, Randa Almaktoum1, Kimberly A. Stephens1, Kathryn Yochim1, Essa Yacoub3, Randy L. Buckner4, and David H. Salat1,2
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 4Psychology, Harvard University, Cambridge, MA, United States

Arterial spin labeling (ASL) approaches for measuring perfusion are challenging in white matter due in part to longer blood arrival times. We implemented a cross-correlation-based processing approach on multi-delay ASL data acquired in Human Connectome Project-Aging (HCP-A) to quantify white matter arterial transit time (ATT) and used these ATT values to analytically compute white matter CBF. Using this approach, we found that white matter CBF decreases (ρ=0.39) and white matter ATT elongates (ρ=0.42) with increasing age (p<0.001). We also found that CBF and ATT values are spatially heterogeneous, with periventricular white matter exhibiting the lowest CBF and longest ATT.

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