Perfusion information extracted from resting state functional magnetic resonance imaging

• Published in: Journal of cerebral blood flow and metabolism Vol. 37; no. 2; pp. 564 - 576
• Main Authors: Tong, Yunjie, Lindsey, Kimberly P, Hocke, Lia M, Vitaliano, Gordana, Mintzopoulos, Dionyssios, Frederick, Blaise deB
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.02.2017
• Subjects: Adult; Brain - blood supply; Brain Mapping - methods; Cerebrovascular Circulation; Humans; Magnetic Resonance Imaging - methods; Middle Aged; Original; Oxygen - blood; Perfusion - methods; cerebral blood flow; perfusion weighted magnetic resonance imaging; Blood oxygenation level dependent contrast; functional magnetic resonance imaging; cerebral blood flow measurement
• ISSN: 0271-678X; 1559-7016
• DOI: 10.1177/0271678X16631755

It is widely known that blood oxygenation level dependent (BOLD) contrast in functional magnetic resonance imaging (fMRI) is an indirect measure for neuronal activations through neurovascular coupling. The BOLD signal is also influenced by many non-neuronal physiological fluctuations. In previous resting state (RS) fMRI studies, we have identified a moving systemic low frequency oscillation (sLFO) in BOLD signal and were able to track its passage through the brain. We hypothesized that this seemingly intrinsic signal moves with the blood, and therefore, its dynamic patterns represent cerebral blood flow. In this study, we tested this hypothesis by performing Dynamic Susceptibility Contrast (DSC) MRI scans (i.e. bolus tracking) following the RS scans on eight healthy subjects. The dynamic patterns of sLFO derived from RS data were compared with the bolus flow visually and quantitatively. We found that the flow of sLFO derived from RS fMRI does to a large extent represent the blood flow measured with DSC. The small differences, we hypothesize, are largely due to the difference between the methods in their sensitivity to different vessel types. We conclude that the flow of sLFO in RS visualized by our time delay method represents the blood flow in the capillaries and veins in the brain.