In the offline analysis, the EEG signal was first low-pass filtered at 30 Hz and automatically scanned for artifacts in EEGLab (Delorme and Makeig, 2004 (link)), an open-source EEG data analysis toolbox implemented in MATLAB. Using the default parameters of the SASICA toolbox (Chaumon et al., 2015 (link)), eye movement artifacts in the EEG signal were removed with an ICA-based procedure (Delorme et al., 2012 (link)).
EEG Data Collection and Analysis for Color-Matching Task
In the offline analysis, the EEG signal was first low-pass filtered at 30 Hz and automatically scanned for artifacts in EEGLab (Delorme and Makeig, 2004 (link)), an open-source EEG data analysis toolbox implemented in MATLAB. Using the default parameters of the SASICA toolbox (Chaumon et al., 2015 (link)), eye movement artifacts in the EEG signal were removed with an ICA-based procedure (Delorme et al., 2012 (link)).
Corresponding Organization :
Other organizations : Hangzhou Normal University, South China Normal University, University of Groningen
Variable analysis
- None explicitly mentioned
- EEG signal
- EEG electrodes (30 Ag/AgCl electrodes secured in an elastic cap according to the extended 10–20 system)
- EEG data collection (recorded with a BrainAmp amplifier system and the software for EEG recording was Brain Vision Recorder)
- EEG reference (Cz electrode served as an online reference, but the data were offline re-referenced to the average)
- EOG recording (Horizontal EOG recorded in a bipolar lead from two additional electrodes, Vertical EOG recorded in a bipolar lead from additional electrodes)
- Electrode impedance (kept below 5 kΩ)
- EEG and EOG sampling rate (continuously recorded and amplified at a sampling rate of 1000 Hz)
- EEG and EOG frequency band (band pass from AC 0.1 to 100 Hz)
- Offline EEG signal processing (low-pass filtered at 30 Hz, artifacts removed using ICA-based procedure)
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