DocumentCode
2533311
Title
Dynamic CSF Fraction and MAGIC VASO fMRI
Author
Scouten, A.M.J. ; Constable, R. Todd
Author_Institution
Yale Univ., New Haven
fYear
2007
fDate
10-11 March 2007
Firstpage
62
Lastpage
62
Abstract
This work extends the Multiple Acquisitions with Global Inversion Cycling Vascular Space Occupancy (MAGIC VASO) method to human whole-brain 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). A three-compartment model is proposed to include both the resting and changing fractional CSF contribution (xc,rest and Deltatimesc, respectively) to DeltaVASO/VASO. Computer simulations show that a small change in CSF fraction on the order of 5% is enough to eliminate the VASO signal change arising from a 20% change in CBV. 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. Statistically significant signal changes are detected in the visual and motor cortices using both acquisition techniques. The absence of VASO activation for auditory stimulation and the proximity of the auditory cortex to the higher CSF concentration of the insula and superior temporal gyrus support the possibility of a Deltatimesc contribution to the VASO signal. Without specific knowledge of the CSF components (xc,rest and Deltatimesc), inference of DeltaCBV/CBV from DeltaVASO/VASO is severely limited.
Keywords
biomedical MRI; blood; brain; MAGIC VASO fMRI; auditory cortex; blood oxygenation level-dependent images; brain; cerebrospinal fluid; cortex; dynamic CSF fraction; global inversion cycling; multiple acquisitions; vascular space occupancy; visual cortex; Blood; Computer simulation; Fluid dynamics; Humans; Signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, 2007. NEBC '07. IEEE 33rd Annual Northeast
Conference_Location
Long Island, NY
Print_ISBN
978-1-4244-1032-3
Type
conf
DOI
10.1109/NEBC.2007.4413280
Filename
4413280
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