on002718
Face processing EEG dataset for EEGLAB
ANAT EEG Zarr
This dataset is the EEG and structural MRI portion of a multi-subject, multi-modal face processing study (originally ds000117), repackaged in EEGLAB format with augmented event logs and HED annotation. Eighteen participants viewed famous, unfamiliar, and scrambled faces while making symmetry judgments. The original study had two sessions (fMRI and simultaneous MEG/EEG); only the MEEG session's EEG data and the structural MRI are included here, while MEG and fMRI data are excluded. Minimal preprocessing, including EEG channel extraction, event correction, and resampling to 250 Hz, yields a lightweight version suitable for tutorials and EEG source localization.
- Participants
- 18
- Channels
- 70 (other)
- Citations
- 84
- Size
- 4.31 GB
- Version
- v1.0.0
- Updated
- May 25, 2026