Abstract #1526

Comparing the efficacy of Wire Loop (WL) methods for EEG motion artefact (MA) correction.

Daniel C. Marsh¹, Alex J. Daniel¹, João Jorge², Johan N. van der Meer³, Agatha Lenartowicz⁴, Susan T. Francis¹, and Karen J. Mullinger^1,5

¹Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, ²CSEM – Swiss Center for Electronics and Microtechnology, Bern, Switzerland, ³School of Information Systems, Faculty of Science and Engineering, Queensland University of Technology (QUT), Brisbane, Australia, ⁴Department of Psychiatry & Biobehavioral Sciences, UCLA, Los Angeles, CA, United States, ⁵Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom

Synopsis

Keywords: Multimodal, Multimodal, EEG, Motion Artefact, EEG-fMRI

Motivation: Movement of EEG caps inside an MR scanner causes motion artefacts (MAs). MA correction using fitting algorithms must remove MAs whilst retaining the underlying neuronal EEG signal.

Goal(s): To assess the performance of two MA correction algorithms for artefact removal and neuronal signal retention.

Approach: Apply two MA correction methods to MA corrupted EEG data with known neuronal signals. Compare EEG data after MA correction to the “gold standard” neuronal data to assess MA correction and neuronal signal retention.

Results: MA correction results are comparable for the two algorithms for MA removal and neuronal signal retention (correlation, RMS and SNR).

Impact: The two motion artefact correction algorithms tested (using wire loops for motion characterisation) can both be used for correction of EEG data inside an MR scanner with similar performance.

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