title: Validation of ICA as a tool to remove eye movement artifacts from EEG/ERP.
abstract: Eye movement artifacts in electroencephalogram (EEG) recordings can greatly distort grand mean event-related potential (ERP) waveforms. Different techniques have been suggested to remove these artifacts prior to ERP analysis. Independent component analysis (ICA) is suggested as an alternative method to "filter" eye movement artifacts out of the EEG, preserving the brain activity of interest and preserving all trials. However, the identification of artifact components is not always straightforward. Here, we compared eye movement artifact removal by ICA compiled on 10 s of EEG, on eye movement epochs, or on the complete EEG recording to the removal of eye movement artifacts by rejecting trials or by the Gratton and Coles method. ICA performed as well as the Gratton and Coles method. By selecting only eye movement epochs for ICA compilation, we were able to facilitate the identification of components representing eye movement artifacts.
authors.affiliation: Department of Woman & Child, KU Leuven, Leuven, Belgium. maarten.mennes@nyumc.org
authors.forename: Maarten
authors.initials: M
authors.lastname: Mennes
authors.forename: Heidi
authors.initials: H
authors.lastname: Wouters
authors.forename: Bart
authors.initials: B
authors.lastname: Vanrumste
authors.forename: Lieven
authors.initials: L
authors.lastname: Lagae
authors.forename: Peter
authors.initials: P
authors.lastname: Stiers
mesh_terms: D000328:Adult; D016477:Artifacts; D003463:Cues; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000706:statistics & numerical data*; D005071:Evoked Potentials / Q000502:physiology*; D005133:Eye Movements / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D010775:Photic Stimulation; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult