Combining EEG with eye tracking: Effects of filter settings on ERP amplitude for trials containing task relevant saccades
Kulke L, Kulke V (2020)
Publication Language: English
Publication Status: Published
Publication Type: Other publication type
Future Publication Type: Other publication type
Publication year: 2020
DOI: 10.1101/2020.04.22.054882
Abstract
Co-registration of electroencephalography (EEG) and eye movements is becoming increasingly popular, as technology advances. This new method has several advantages, including the possibility of testing non-verbal populations and infants. However, eye movements can create artefacts in EEG data. Previous methods to remove eye-movement artefacts, have used high-pass filters before data processing. However, the role of filter settings for eye-artefact exclusion has not directly been investigated. The current study examined the effect of filter settings on EEG recorded in a dataset containing task-relevant eye movements. Part 1 models the effects of filters on eye-movement artifacts and part 2 demonstrates this effect on an EEG dataset containing task-relevant eye-movements. It shows that high-pass filters can lead to significant distortions and create artificial responses that are unrelated to the target. In conclusion, high-pass filter settings of 0.1 or lower can be recommended for EEG studies involving task-relevant eye movements.
Authors with CRIS profile
Involved external institutions
Germany (DE)How to cite
APA:
Kulke, L., & Kulke, V. (2020). Combining EEG with eye tracking: Effects of filter settings on ERP amplitude for trials containing task relevant saccades.
MLA:
Kulke, Louisa, and Vincent Kulke. Combining EEG with eye tracking: Effects of filter settings on ERP amplitude for trials containing task relevant saccades. 2020.
BibTeX: Download