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Abstract #3945

Ballistocardiogram artefact correction taking into account background physiological signal preservation in simultaneous EEG-fMRI

Rodolfo Abreu 1 , Marco Leite 1,2 , Alberto Leal 3 , and Patrcia Figueiredo 1

1 Institute for Systems and Robotics and Department of Bioengineering, Instituto Superior Tcnico, Universidade de Lisboa, Lisbon, Portugal, 2 Department of Clinical and Experimental Epilepsy and The Wellcome Trust Centre for Neuroimaging, University College London Institute of Neurology, Queen Square, London WC1N 3BG, United Kingdom, 3 Centro de Investigao e Interveno Social and Department of Neurophysiology, Centro Hospitalar Psiquitrico de Lisboa, Lisbon, Portugal

Ballistocardiogram artefact (BCG) seriously compromises EEG data quality when simultaneously-acquired with fMRI. Here, we propose a novel ICA-based approach (PROJIC) for BCG artefact correction as well as a novel evaluation pipeline that assesses both artefact and background signal removal. The proposed evaluation pipeline for BCG artefact correction allowed different weightings of the importance of removing the artefact against preserving the signal background, showing that different methods may be preferred in different situations. The proposed ICA-based approaches outperformed both previous ICA-based methods as well as the Optimal Basis Sets (OBS) approach, in all conditions.

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