During a Magnetic Resonance (MR) sequence, simultaneously acquired ElectroEncephaloGraphy (EEG) data are compromised by severe pollution due to artifacts originating from the switching of
the magnetic field gradients. In this work, it is shown how these artifacts can be strongly reduced or even removed through application of an adaptive artifact restoration scheme. The method has proved to
be fully automatic and to retain high frequency EEG information, which is indispensable for many EEG applications.
