{"schema_version":"0.3.0","doc_type":"dataset","dataset_id":"on002336","name":"A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1","description":"This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.","source":"nemar","recording_modality":["ANAT","EEG","FUNC"],"bids_version":null,"license":"CC0","authors":[{"name":"Giulia Lioi","name_type":"Personal"},{"name":"Claire Cury","name_type":"Personal"},{"name":"Lorraine Perronnet","name_type":"Personal"},{"name":"Marsel Mano","name_type":"Personal"},{"name":"Elise Bannier","name_type":"Personal"},{"name":"Anatole Lecuyer","name_type":"Personal"},{"name":"Christian Barillot","name_type":"Personal","orcid":"0000-0002-1589-7696"}],"keywords":[{"term":"EEG"},{"term":"fMRI"},{"term":"motor imagery"},{"term":"neurofeedback"},{"term":"multimodal neuroimaging"},{"term":"brain-computer interface"},{"term":"simultaneous EEG-fMRI"},{"term":"real-time neurofeedback"}],"related_identifiers":[{"identifier":"10.3389/fnhum.2017.00193.","identifier_type":"DOI","relation_type":"References"},{"identifier":"10.1101/862375","identifier_type":"DOI","relation_type":"References"},{"identifier":"https://github.com/nemarDatasets/on002336","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"https://nemar.org/dataexplorer/detail?dataset_id=on002336","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"10.3389/fnhum.2017.00193","identifier_type":"DOI","relation_type":"IsReferencedBy"},{"identifier":"10.3389/fnins.2017.00140","identifier_type":"DOI","relation_type":"IsReferencedBy"},{"identifier":"10.18112/openneuro.ds002336.v2.0.2","identifier_type":"DOI","relation_type":"IsDerivedFrom"}],"contributors":[],"dates":[],"rights":[{"rights":"CC0","rights_uri":null,"rights_identifier":"CC0","rights_identifier_scheme":"SPDX"}],"language":null,"funding":[{"funder_name":"French National Research Agency","award_number":"ANR-10-LABX-07-01","award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null}],"tasks":["MIpost","MIpre","eeg","eegNF","eegfmri","eegfmriNF","fmri","fmriNF","motorloc"],"datatypes":["anat","eeg","func"],"sessions":[],"sessions_count":null,"demographics":{"subjects_count":10,"age_min":19,"age_max":39},"data_summary":{"total_files":667,"size_bytes":19300636682,"size_human":"18.0 GB"},"provenance":{"latest_snapshot":"v1.0.0","publish_date":"2026-06-21 04:10:01"},"external_links":{"dataset_doi":"10.82901/nemar.on002336","github_url":"https://github.com/nemarDatasets/on002336"},"extensions":{"nemar":{"versions":[{"version":"v1.0.0","doi":"10.82901/nemar.on002336.v1.0.0","created_at":"2026-06-21 04:10:01","manifest_url":"/on002336/v1.0.0/manifest.json"}],"bids_index":{"version":"v1.0.0","subjects":{"sub-xp101":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}},"sub-xp102":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}},"sub-xp103":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}},"sub-xp104":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}},"sub-xp105":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}},"sub-xp106":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}},"sub-xp107":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}},"sub-xp108":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}},"sub-xp109":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}},"sub-xp110":{"sessions":[],"modalities":{"anat":{"tasks":{}},"eeg":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}},"func":{"tasks":{"MIpost":{"runs":[]},"MIpre":{"runs":[]},"eegNF":{"runs":[]},"eegfmriNF":{"runs":[]},"fmriNF":{"runs":[]},"motorloc":{"runs":[]}}}}}}},"pipeline_stage":"enriched","data_complete":1,"bytes_present":19299515299}}}