title: Applications and limitations of whole-brain MAGIC VASO functional imaging.
abstract: This work extends the multiple acquisitions with global inversion cycling vascular space occupancy (MAGIC VASO) method to human whole-brain functional magnetic resonance imaging (fMRI) at 3.0 Tesla and demonstrates the need to consider the dynamic contribution of cerebrospinal fluid (CSF) to the relative VASO signal change (DeltaVASO/VASO). Simulations were performed to determine the optimal slice number between global inversions, and correction factors were obtained to account for incomplete blood nulling in particular slices. The necessity of an accurate estimate of resting cerebral blood volume (CBV(rest)) is discussed in the context of DeltaCBV/CBV calculations. A three-compartment model is proposed to include both the resting and changing fractional CSF contribution (x(c,rest) and Deltax(c), respectively) to DeltaVASO/VASO. A MAGIC VASO sequence that provides whole-brain coverage is demonstrated using a paradigm comprised of visual, motor, and auditory stimulation. Activated regions are quantitatively compared in the corresponding blood oxygenation level-dependent (BOLD) images. Estimates of the minimum DeltaCBV/CBV resulting from motor and visual stimulation were comparable to previous findings at 17 +/- 8% (N = 8) and 19 +/- 9% (N = 6), respectively. The absence of VASO activation for auditory stimulation and evidence of activation-induced decreases in CSF volume fraction around the insula and superior temporal gyrus support the possibility of a Deltax(c) contribution to the VASO signal. Without specific knowledge of the CSF components (x(c,rest) and Deltax(c)), inference of DeltaCBV/CBV from DeltaVASO/VASO is severely limited.
authors.affiliation: Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA. amy.scouten@yale.edu
authors.forename: A
authors.initials: A
authors.lastname: Scouten
authors.forename: R T
authors.initials: RT
authors.lastname: Constable
mesh_terms: D001810:Blood Volume; D001931:Brain Mapping / Q000379:methods*; D002560:Cerebrovascular Circulation; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male