scholarly journals Arterial cerebral blood volume-weighted functional MRI using pseudocontinuous arterial spin tagging (AVAST)

2014 ◽  
Vol 73 (3) ◽  
pp. 1053-1064 ◽  
Author(s):  
Hesamoddin Jahanian ◽  
Scott Peltier ◽  
Douglas C. Noll ◽  
Luis Hernandez Garcia
NeuroImage ◽  
2019 ◽  
Vol 186 ◽  
pp. 185-191 ◽  
Author(s):  
Kai Buckenmaier ◽  
Anders Pedersen ◽  
Paul SanGiorgio ◽  
Klaus Scheffler ◽  
John Clarke ◽  
...  

1997 ◽  
Vol 7 (3) ◽  
pp. 523-527 ◽  
Author(s):  
Michael H. Lev ◽  
Sarah F. Kulke ◽  
A. Gregory Sorensen ◽  
Jerry L. Boxerman ◽  
Thomas J. Brady ◽  
...  

Neurology ◽  
1998 ◽  
Vol 50 (6) ◽  
pp. 1821-1826 ◽  
Author(s):  
I. Tracey ◽  
L. M. Hamberg ◽  
A. R. Guimaraes ◽  
G. Hunter ◽  
I. Chang ◽  
...  

2018 ◽  
Author(s):  
Kai Buckenmaier ◽  
Anders Pedersen ◽  
Paul SanGiorgio ◽  
Klaus Scheffler ◽  
John Clarke ◽  
...  

AbstractWe investigate the feasibility of performing functional MRI (fMRI) at ultralow field (ULF) with a Superconducting QUantum Interference Device (SQUID), as used for detecting magnetoencephalography (MEG) signals from the human head. While there is negligible magnetic susceptibility variation to produce blood oxygenation level-dependent (BOLD) contrast at ULF, changes in cerebral blood volume (CBV) may be a sensitive mechanism for fMRI given the five-fold spread in spin-lattice relaxation time (T1) values across the constituents of the human brain. We undertook simulations of functional signal strength for a simplified brain model involving activation of a primary cortical region in a manner consistent with a blocked task experiment. Our simulations involve measured values of T1 at ULF and experimental parameters for the performance of an upgraded ULFMRI scanner. Under ideal experimental conditions we predict a functional signal-to-noise ratio of between 3.1 and 7.1 for an imaging time of 30 minutes, or between 1.5 and 3.5 for a blocked task experiment lasting 7.5 minutes. Our simulations suggest it may be feasible to perform fMRI using a ULFMRI system designed to perform MRI and MEG in situ.


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