Feasibility of Functional MRI at Ultralow Magnetic Field via Changes in Cerebral Blood Volume
Autor: | John Clarke, Anders Pedersen, K. Buckenmaier, Klaus Scheffler, Paul SanGiorgio, Ben Inglis |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Cognitive Neuroscience
SQUID 050105 experimental psychology law.invention 03 medical and health sciences 0302 clinical medicine Nuclear magnetic resonance Ultra-low field Signal strength law medicine Image Processing Computer-Assisted Cerebral Blood Volume Humans 0501 psychology and cognitive sciences Physics medicine.diagnostic_test Human head Functional Neuroimaging 05 social sciences fMRI Cerebral blood volume Brain Magnetoencephalography Human brain Models Theoretical Magnetic Resonance Imaging Magnetic field medicine.anatomical_structure Magnetic Fields Neurology Blood oxygenation Feasibility Studies 030217 neurology & neurosurgery |
Zdroj: | NeuroImage 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, vol. 186, pp. 185-191 . https://doi.org/10.1016/j.neuroimage.2018.10.071 |
DOI: | 10.1101/366955 |
Popis: | 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. |
Databáze: | OpenAIRE |
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