A Spatiotemporal Signal Space Projection Method for Artifact Reduction in Simultaneous EEG-fMRI Acquisitions

Valur Olafsson¹, Omer Tal¹, Chi Wah Wong¹, Thomas Liu¹

When acquiring simultaneous EEG-fMRI data, there are artifacts in the EEG data due to the MRI environment. It is common to use template based subtractions to remove these artifacts. However, these methods tend to leave residual artifacts in the EEG data. Here we propose to use a fully automated spatiotemporal signal source projection (SSP) to remove the residual artifacts. We show that the method performs well to remove the residual artifacts due to the MRI environment and from sources outside the brain.