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Title: Validation of ICA as a tool to remove eye movement artifacts from EEG/ERP
Authors: Mennes, Maarten ×
Wouters, Heidi
Vanrumste, Bart
Lagae, Lieven
Stiers, Peter #
Issue Date: Apr-2010
Publisher: Blackwell Publishing Inc.
Series Title: Psychophysiology vol:47 issue:6 pages:1142-1150
Abstract: 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.
URI: 
ISSN: 0048-5772
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Brain & Metabolism Section (-)
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Laboratory for Experimental Psychology
Technologiecluster ESAT Elektrotechnische Engineering
Electrical Engineering (ESAT) TC, Technology Campus Geel
Electrical Engineering (ESAT) TC, Technology Campus Diepenbeek
× corresponding author
# (joint) last author

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