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Abstract #3382

Pipeline for processing EEG data acquired during block-design simultaneous EEG-fMRI-ASL study

Balu Krishnan1, Wanyong Shin2, Ajay Nemani2, Anna Crawford2, and Mark Lowe2
1Epilepsy Center, Cleveland Clinic Foundation, CLEVELAND, OH, United States, 2Mellen Center, Cleveland Clinic Foundation, CLEVELAND, OH, United States

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.

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