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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