Sungho Tak1, Danny J.J. Wang2, Lirong Yan2, J. Jean Chen
1Rotman Research Institute at Baycrest Centre, University of Toronto, Toronto, ON, Canada; 2Neurology, University of California, Los Angeles (UCLA), Los Angeles, CA, United States
In this study, we investigated the contribution of cerebral blood flow (CBF) fluctuations to the resting-state BOLD signals. A dual-echo pseudo-continuous spin labeling (pCASL) method was used to simultaneously measure the BOLD and CBF responses, and a multivariate general linear model was applied to statistically analyze the relationship. We accounted for the time lag between BOLD and CBF, and modeled systemic physiological noise separately. Results show that the low-frequency fluctuations of the CBF and BOLD signals are significantly correlated but spatially variable, with particularly strong CBF contributions across major resting-state networks, including the default mode and anti-correlated networks.