{"success":true,"database":"eegdash","data":{"_id":"6953f4239276ef1ee07a32a8","dataset_id":"ds002718","associated_paper_doi":null,"authors":["Daniel G. Wakeman","Richard N Henson"],"bids_version":"v1.2.0","contact_info":["Dung Truong","Arnaud Delorme","Annalisa Salazar"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds002718.v1.1.0","datatypes":["eeg"],"demographics":{"subjects_count":18,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds002718","osf_url":null,"github_url":null,"paper_url":null},"funding":["This work was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd."],"ingestion_fingerprint":"db00ee5d825169e3d52a8f95a19e0378fc072fa4eca4ff9ac544c4e6b0d91288","license":"CC0","n_contributing_labs":null,"name":"Face processing EEG dataset for EEGLAB","readme":"**Introduction:**\nThis dataset consists of the MEEG (sMRI+MEG+EEG) portion of the multi-subject, multi-modal face processing dataset (ds000117). This dataset was originally acquired and shared by Daniel Wakeman and Richard Henson (https://pubmed.ncbi.nlm.nih.gov/25977808/). The MEG and EEG data were simultaneously recorded; the sMRI scans were preserved to support M/EEG source localization. Following event log augmentation, reorganization, and HED (v8.0.0) annotation, the EEG data have been repackaged in EEGLAB format.\n**Overview of the experiment:**\nEighteen participants completed two recording sessions spaced three months apart – one session recorded fMRI  and the other simultaneously recorded MEG and EEG data. During each session, participants performed the same simple perceptual task, responding to presented photographs of famous, unfamiliar, and scrambled faces by pressing one of two keyboard keys to indicate a subjective yes or no decision as to the relative spatial symmetry of the viewed face. Famous faces were feature-matched to unfamiliar faces; half the faces were female. The two sessions (MEEG, fMRI) had different organizations of event timing and presentation because of technological requirements of the respective imaging modalities. Each individual face was presented twice during the session. For half of the presented faces, the second presentation followed immediately after the first. For the other half, the second presentation was delayed by 5-15 face presentations.\n**Preprocessing:**\nMulti-subject, multi-modal (sMRI+EEG) neuroimaging dataset\non face processing. Original data described at https://www.nature.com/articles/sdata20151\nThis is repackaged version of the EEG data in EEGLAB format. The data has gone through\nminimal preprocessing including (see wh_extracteeg_BIDS.m):\n- Ignoring fMRI and MEG data (sMRI preserved for EEG source localization)\n- Extracting EEG channels out of the MEG/EEG fif data\n- Adding fiducials\n- Renaming EOG and EKG channels\n- Extracting events from event channel\n- Removing spurious events 5, 6, 7, 13, 14, 15, 17, 18 and 19\n- Removing spurious event 24 for subject 3 run 4\n- Renaming events taking into account button assigned to each subject\n- Correcting event latencies (events have a shift of 34 ms)\n- Resampling data to 250 Hz (this is a step that is done because\n  this dataset is used as tutorial for EEGLAB and need to be lightweight)\n- Merging run 1 to 6\n- Removing event fields urevent and duration\n- Filling up empty fields for events boundary and stim_file.\n- Saving as EEGLAB .set format\n**Original and related datasets**\nThis data is a mapping of the original openfmri dataset ds000117 on OpenfMRI, which is no longer\navailable (although a copy is available in the sourcedata folder of the ds003645 repository). The ds000117\ndataset on OpenNeuro contains only 16 subjects. The original OpenfMRI dataset is described at the bottom of this README file https://openneuro.org/datasets/ds000117/versions/1.0.4/file-display/README along with the correspondance with the 16 subjects in ds000117. Note that sub-001 data on OpenfMRI was corrupted\nso it is not included here.\nThe openneuro dataset ds003645 is similar to this one but also contains MEG data and HED events. Also, it does not have the different runs merged.\n**Import warning**\nMake sure to import the channel locations from the BIDS electrodes.tsv files. The EEGLAB .set files also contain channel locations, although they differ for subjects 8 and 14 because the .set version is wrong and rotated by 90 degrees. When using the EEGLAB EEG BIDS plugin, the default behavior is to import channel locations from BIDS.\n**Data curators:**\nRamon Martinez, Dung Truong, Scott Makeig, Arnaud Delorme (UCSD, La Jolla, CA, USA)","recording_modality":["eeg"],"senior_author":"Richard N Henson","sessions":[],"size_bytes":4623904945,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["FaceRecognition"],"timestamps":{"digested_at":"2026-04-22T12:25:28.167810+00:00","dataset_created_at":"2020-04-21T20:15:53.277Z","dataset_modified_at":"2025-11-08T05:07:40.000Z"},"total_files":18,"storage":{"backend":"s3","base":"s3://openneuro.org/ds002718","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","task-FaceRecognition_events.json"]},"nemar_citation_count":11,"computed_title":"Face processing EEG dataset for EEGLAB","nchans_counts":[{"val":74,"count":18}],"sfreq_counts":[{"val":250.0,"count":18}],"stats_computed_at":"2026-04-22T23:16:00.221658+00:00","tags":{"modality":"Visual","pathology":"Healthy","type":"Perception"},"total_duration_s":53439.0,"author_year":"Wakeman2020","canonical_name":null,"name_source":"canonical"}}