Abstract #2360

Assessment of cerebral white matter hemodynamics across the adult lifespan

Meher R. Juttukonda^1,2, Randa Almaktoum¹, Kimberly A. Stephens¹, Kathryn Yochim¹, Essa Yacoub³, Randy L. Buckner⁴, and David H. Salat^1,2

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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