Abstract #3775

Detecting visual evoked responses in simultaneous EEG-fMRI using Reference Layer Artefact Subtraction (RLAS)

Glyn S. Spencer¹, Muhammad E. H. Chowdhury^1,2, Karen J. Mullinger^1,3, and Richard Bowtell¹

¹Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, ²Electrical Engineering, Qatar University, Doha, Qatar, ³Birmingham University Imaging Centre, School of Psychology, University of Birmingham, Birmingham, United Kingdom

Simultaneous EEG-fMRI is limited by large artefacts in EEG recordings resulting from time-varying field gradients, cardiac-related motion and head movement within the magnetic field. Reference layer artefact subtraction (RLAS) reduces artefacts at source by subtraction of artefact voltages recorded from a reference layer on which the EEG leads and electrodes are replicated. Since RLAS does not require prior knowledge of the timing of artefact occurrences, it is an ideal method for correcting pulse and movement artefacts. Here, we apply RLAS in EEG-fMRI experiments for the first time, particularly focusing upon recovery of single-trial, low-frequency, visual-evoked responses from artefact-corrupted data.

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