Key words: OEF; BOLD; qBOLD; brain metabolism; brain hemodynamics; fMRIWhile the dynamic properties of blood oxygenation level dependent (BOLD) contrast in MRI during functional activation have received much consideration, very little attention has been paid to the nature of the BOLD contrast during the resting or baseline level of neuronal activity in the brain. Because "resting brain" is responsible for approximately 20% of total human body oxygen consumption (1,2), understanding brain functioning in the baseline state is important for understanding brain performance in health and disease. One of the important parameters defining oxygen consumption is oxygen extraction fraction (OEF) -the percent of the oxygen removed from the blood by tissue during its passage through the capillary network. Previously, Raichle et al. (2,3) used this parameter to characterize the baseline state of the normal human brain. Such a characterization is germane because OEF maps of normal human subjects, resting quietly with their eyes closed, demonstrate remarkable uniformity (2,4) despite substantial regional variations of cerebral blood flow and the cerebral metabolic rate of oxygen consumption (2,3). This uniformity of the OEF in the absence of specific goal-directed activities supports the hypothesis that an established equilibrium exists between the local metabolic requirements necessary to sustain a long term modal level of neural activity and the level of blood flow in a particular region.Thus far most quantitative imaging studies mapping tissue OEF were conducted using oxygen-15 based positron emission tomography (PET) imaging techniques (5). The advent of BOLD MR imaging initiated by Ogawa et al. (6) opened new opportunities to noninvasively study brain hemodynamics. BOLD approach capitalizes on the fact that deoxygenated blood has different magnetic susceptibility as compared to oxygenated blood (7), which in turn has magnetic susceptibility similar to the tissue (6). Due to this effect, the deoxyhemoglobin containing part of the blood vessel network in the brain creates mesoscopic field inhomogeneities in the surrounding tissue leading to more rapid MRI signal decay than from standard T2 decay alone. Because these field inhomogeneities are tissue specific, measuring the MRI signal decay rate may provide information on the tissue structure and functioning. Previously this lab has developed a theoretical model of BOLD contrast that analytically connects the BOLD signal to hemodynamic parameters such as the deoxyhemoglobincontaining blood volume (DBV), deoxyhemoglobin concentration, and OEF (8). A subsequent publication (9) quantitatively validated important features of the model in phantom studies and developed a theoretical background and experimental method (based on the Gradient Echo Sampling of Spin Echo (GESSE) sequence) that allows the separation of mesoscopic field inhomogeneity effects from both macroscopic and microscopic inhomogeneities. Such separation allows one to take full advantage of the mesoscopic, tissue...