title: BOLD signal compartmentalization based on the apparent diffusion coefficient.
abstract: Functional MRI (fMRI) can detect blood oxygenation level dependent (BOLD) hemodynamic responses secondary to neuronal activity. The most commonly used method for detecting fMRI signals is the gradient-echo echo-planar imaging (EPI) technique because of its sensitivity and speed. However, it is generally believed that a significant portion of these signals arises from large veins, with additional contribution from the capillaries and parenchyma. Early experiments using diffusion-weighted gradient-echo EPI have suggested that intra-voxel incoherent motion (IVIM) weighting inherent in the sequence can selectively attenuate contributions from different vessels based on the differences in the mobility of the blood within them. In the present study, we used similar approach to characterize the apparent diffusion coefficient (ADC) distribution within the activated areas of BOLD contrast. It is shown that the voxel values of the ADCs obtained from this technique can infer various vascular contributions to the BOLD signal.
authors.affiliation: Brain Imaging and Analysis Center Duke University, Durham, NC 27710, USA. allen.song@duke.edu
authors.forename: Allen W
authors.initials: AW
authors.lastname: Song
authors.forename: Harlan
authors.initials: H
authors.lastname: Fichtenholtz
authors.forename: Marty
authors.initials: M
authors.lastname: Woldorff
mesh_terms: D000465:Algorithms; D001921:Brain / Q000098:blood supply*; D038524:Diffusion Magnetic Resonance Imaging; D006439:Hemodynamics; D006801:Humans; D009044:Motor Cortex / Q000502:physiology*; D010100:Oxygen / Q000097:blood; D012044:Regression Analysis
chemical_list: D010100:Oxygen