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Perfusion information extracted from resting state functional magnetic resonance imaging
Author(s) -
Yunjie Tong,
Kimberly P. Lindsey,
Lia M. Hocke,
Gordana Vitaliano,
Dionyssios Mintzopoulos,
Blaise deB. Frederick
Publication year - 2016
Publication title -
journal of cerebral blood flow and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.167
H-Index - 193
eISSN - 1559-7016
pISSN - 0271-678X
DOI - 10.1177/0271678x16631755
Subject(s) - functional magnetic resonance imaging , blood flow , resting state fmri , magnetic resonance imaging , cerebral blood flow , perfusion , blood oxygen level dependent , blood oxygenation , neuroscience , nuclear magnetic resonance , hemodynamics , functional imaging , perfusion scanning , medicine , psychology , cardiology , physics , radiology
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.

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