Feasibility of Functional MRI at Ultralow Magnetic Field via Changes in 
Cerebral Blood Volume

Buckenmaier, K; Pedersen, A; SanGiorgio, P; Scheffler, K; Clarke, J; Inglis, B

doi:10.1016/j.neuroimage.2018.10.071

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Feasibility of Functional MRI at Ultralow Magnetic Field via Changes in Cerebral Blood Volume

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Scheffler, K
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://www.sciencedirect.com/science/article/pii/S1053811918320524
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Zitation

Buckenmaier, K., Pedersen, A., SanGiorgio, P., Scheffler, K., Clarke, J., & Inglis, B. (2019). Feasibility of Functional MRI at Ultralow Magnetic Field via Changes in Cerebral Blood Volume. NeuroImage, 186, 185-191. doi:10.1016/j.neuroimage.2018.10.071.

Zitierlink: https://hdl.handle.net/21.11116/0000-0002-0215-4

Zusammenfassung

We 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.