Face processing EEG dataset for EEGLAB

This dataset comprises EEG recordings from 18 participants performing a face processing task involving perceptual judgments of famous, unfamiliar, and scrambled faces. The data were simultaneously acquired with MEG and structural MRI. EEG data have been repackaged in EEGLAB format following HED annotation and preprocessing including channel extraction, fiducial addition, event correction, resampling to 250 Hz, and run merging. The dataset supports investigation of neural responses to face categorization and repetition effects across two sessions. Note: MEG and EEG were recorded simultaneously in one session; structural MRI scans were acquired in a separate session and are preserved to support source localization.