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Abstract #4009

Intersubject Variability in Cerebral Blood Flow is Great than Structural Variability

Yufen Chen1, Hengyi Rao1, John A. Detre1

1Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, United States

Cerebral blood flow (CBF) is tightly coupled to brain metabolism and is known to be modulated by age and gender. But little is known about intersubject variability in CBF, which may be reflective of individual phenotypic differences. Here, we retrospectively analyzed arterial spin labeling (ASL) data from 136 subjects to test the hypothesis that metabolic variance exceeds structural variance. F-tests showed gray matter (GM) CBF had higher variance than GM volume. Linear model of age and gender showed reduced R2 fit to GM CBF compared to GM volume, suggesting the presence of additional sources of variability.