Keywords: fMRI Analysis, fMRI, Physiological Denoising, Subject Identifiability
Motivation: Denoising systemic low-frequency oscillations (sLFOs) using global signal regression (GSR) can possibly impact the neural component of the BOLD fMRI signal.
Goal(s): Our goal was to use the spatial relationship between the sLFO component of the BOLD signal and brain vasculature to perform a less aggressive form of GSR.
Approach: We collected structural and functional images at 3T in ten subjects. We then used to temporal and spatial characteristics of the sLFOs to denoise the BOLD signal.
Results: The spatial correlation between the sLFOs and venograms confirmed their underlying vascular origin. The performance of our novel denoising technique still needs to be evaluated.
Impact: We propose a novel sLFO denoising method that uses the temporal and spatial patterns of physiological noise to preserve a larger fraction of the neural activity.
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