Utilizing MATLAB (MathWorks, Natick, MA, United States) and the EEGLAB toolbox (Delorme and Makeig, 2004 ), we processed the continuous EEG data with in-house scripts. An offline digital band-pass filter (0.1–30 Hz) was applied. Epochs were extracted from −200 to 1,000 ms relative to the onset of the word stimulus and baseline corrected using the prestimulus interval (−200 to 0 ms). Independent component analysis (ICA) was used to correct eye movement, muscle artifacts, and heartbeat artifacts. All EEG epochs were processed for artifact detection by visual inspection and EEGLAB, and detection of obvious eye blinks and epochs with amplitude values exceeding ±100 mV at any electrode were rejected and later re-referenced to the average reference (Tafuro et al., 2019 (link); Overbye et al., 2021 (link)). To guarantee the quality of data, patients with >20% of bad epochs for each condition and/or five bad channels were removed from the analysis, and one MAP- participant with more than 20% of bad epochs was excluded.
Electrophysiological Signatures in Stroop Task Performance
Utilizing MATLAB (MathWorks, Natick, MA, United States) and the EEGLAB toolbox (Delorme and Makeig, 2004 ), we processed the continuous EEG data with in-house scripts. An offline digital band-pass filter (0.1–30 Hz) was applied. Epochs were extracted from −200 to 1,000 ms relative to the onset of the word stimulus and baseline corrected using the prestimulus interval (−200 to 0 ms). Independent component analysis (ICA) was used to correct eye movement, muscle artifacts, and heartbeat artifacts. All EEG epochs were processed for artifact detection by visual inspection and EEGLAB, and detection of obvious eye blinks and epochs with amplitude values exceeding ±100 mV at any electrode were rejected and later re-referenced to the average reference (Tafuro et al., 2019 (link); Overbye et al., 2021 (link)). To guarantee the quality of data, patients with >20% of bad epochs for each condition and/or five bad channels were removed from the analysis, and one MAP- participant with more than 20% of bad epochs was excluded.
Corresponding Organization : Southern University of Science and Technology
Other organizations : Peking University, Center for Excellence in Brain Science and Intelligence Technology
Variable analysis
- Condition (Congruent vs. Incongruent)
- EEG data
- 32 Ag/AgCl scalp electrodes (BrainCap, GmbH, Germany) according to the international 10–20 system
- Recording reference at Cz
- Ground positioned at approximately AFz
- Impedances kept below 10 kΩ
- Sampling frequency at 1,000 Hz
- Digital band-pass filter (0.1–30 Hz)
- Epochs extracted from −200 to 1,000 ms relative to the onset of the word stimulus
- Baseline correction using the prestimulus interval (−200 to 0 ms)
- Independent component analysis (ICA) used to correct eye movement, muscle artifacts, and heartbeat artifacts
- Artifact detection by visual inspection and EEGLAB, and detection of obvious eye blinks and epochs with amplitude values exceeding ±100 mV at any electrode
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