We used latent state-trait theory to examine trait specificity of regional cerebral blood flow (CBF) acquired using arterial spin labeled (ASL) perfusion MRI in four different resting-state conditions (eyes-open, eyes-closed, fixation, and a low-level attention task (psychomotor vigilance task, PVT)). Most brain regions accepted the latent state-trait model. Fixation exhibited the lowest latent trait specificity, while PVT, eyes-open, and eyes-closed showed progressively higher trait specificity. We confirmed that ASL CBF shows trait-like properties, which are optimally fit using eyes-open or eyes-closed conditions.
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