Abstract
One of the biggest challenges in functional Magnetic Resonance Imaging (fMRI) research has been parsing brain activation (BOLD signal) from artifact noise. The use of ME 7 Tesla acquisition strategy allows high temporal and spatial resolution. Currently there are several mathematical approaches to combining and denoising ME data to obtain BOLD signal but the optimal method for high-resolution data is unknown.
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