EEG data acquired during simultaneous EEG-fMRI studies are prone to environmental and physiological artifacts. In this study, we detail an EEG artifact reduction pipeline for a block design task paradigm during a BOLD/ASL sequence. Briefly, the pipeline consists of removal of MR and cardioballistic artifact, ICA based correction for removing eyeblink and residual scanner artifacts, and source modeling of EEG data to remove additional artifacts. Pipeline was tested on 7 subjects (6 multiple sclerosis patients and 1 normal-control). The EEG data processed using the pipeline shows high fidelity and is comparable to similar data acquired outside the scanner.