{"dataset":{"id":"52924","dataset_id":"on003505","name":"VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes","description":"VEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks (face vs. scrambled faces, coherent vs. incoherent motion). The dataset includes preprocessed EEG single trials, individual brain parcellations at five spatial resolutions, structural connectomes derived from diffusion data, and EEG source imaging solutions based on individual anatomy. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on003505","concept_doi":"10.82901/nemar.on003505","latest_version_doi":"10.82901/nemar.on003505.v1.0.0","created_at":"2026-06-21 23:31:18","updated_at":"2026-07-22 00:58:37","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes\",\n  \"description\": \"VEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks (face vs. scrambled faces, coherent vs. incoherent motion). The dataset includes preprocessed EEG single trials, individual brain parcellations at five spatial resolutions, structural connectomes derived from diffusion data, and EEG source imaging solutions based on individual anatomy. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.\",\n  \"methods_description\": \"High-density EEG was recorded during two visual discrimination tasks (faces and motion coherence). Structural MRI and diffusion-weighted images were acquired in a separate session. EEG preprocessing included single-trial extraction for each condition. Structural MRIs were processed with Freesurfer 7.1.1 to generate brain parcellations at five spatial resolutions (83-1015 regions) and structural connectomes based on fiber count, fiber density, fractional anisotropy, and mean diffusivity. EEG inverse solutions were computed using individual anatomy and boundary element models.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"David Pascucci\": {\n      \"orcid\": \"0000-0002-1139-2586\"\n    },\n    \"Sebastien Tourbier\": {},\n    \"Joan Rue-Queralt\": {},\n    \"Margherita Carboni\": {},\n    \"Patric Hagmann\": {},\n    \"Gijs Plomp\": {\n      \"orcid\": \"0000-0002-9883-3371\"\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"visual evoked potentials\"\n    },\n    {\n      \"term\": \"source imaging\"\n    },\n    {\n      \"term\": \"brain parcellation\"\n    },\n    {\n      \"term\": \"structural connectome\"\n    },\n    {\n      \"term\": \"diffusion weighted imaging\"\n    },\n    {\n      \"term\": \"multimodal neuroimaging\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1038/s41597-021-01116-1\",\n      \"identifier_type\": \"DOI\",\n      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23:31:18","source":"openneuro","source_id":"ds003505","subject_count":20,"modalities":"anat,dwi,eeg","age_min":20,"age_max":32,"file_size":62461252383,"total_files":10174,"tasks":"faces,motion","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"David Pascucci, Sebastien Tourbier, Joan Rue-Queralt, Margherita Carboni, Patric Hagmann, Gijs Plomp","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003505-blue)](https://doi.org/10.82901/nemar.on003505)\n\n# VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes\n\n## Overview\n\nThe multimodal dataset VEPCON follows the BIDS standard and provides raw data of high-density EEG, structural MRI and diffusion weighted images (DWI) recorded in 20 participants.\n\nVisual evoked potentials were recorded while participants discriminated briefly presented faces from scrambled faces (`task-faces`), or coherently moving stimuli from incoherent ones (`task-motion`). Note that raw EEG data for `sub-05` (for both `task-faces` and `task-motion`) and for `sub-15` (for `task-motion`) were discarded because of excessive motion. MRI and DWI were recorded in a separate session from the same participants. \n\nVEPCON also contains data derivatives that follow as close as possible the BIDS derivatives specifications. It includes in particular: pre-processed EEG of single trials in each condition, behavioral measures, structural MRIs, Freesurfer `7.1.1` outputs of defaced MRIs, individual brain parcellations at 5 spatial resolutions (83 to 1015 regions), and corresponding structural connectomes based on fiber count, fiber density, average fractional anisotropy and mean diffusivity maps. In addition, Freesurfer's outputs include a `bem/` folder that contains all files generated by MNE to describe the Boundary Element Model (BEM) based on Freesurfer's surfaces estimated from the original undefaced structural MRIs. Finally, VEPCON also provides EEG inverse solutions for source imaging based on individual anatomy, and Python and Matlab code for deriving time-series of activity in each brain region, at each parcellation level.\n\nWe believe this dataset can contribute to multimodal methods development, studying structure-function relations, as well as unimodal optimization of source imaging and graph analysis, among many other possibilities.\n\nAll code supporting the dataset can be found in the `code/` folder.","bids_version":"1.6.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-06 21:38:56","zarr_store_count":37,"zarr_index_etag":"f28713d61c72f0537d5104f9ee3dd8fc","zarr_source_commit":"31dfe226c749579b7ac80fba3eb6144b6c30f092","archive_status":"ready","archive_size":46356304937,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":11,"num_datapaper_citations":13,"n_channels":128,"electrode_system":"biosemi","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":60858751965,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":38043,"recording_duration_min":852,"recording_duration_max":1582,"recording_count":37,"recordings_unavailable":0,"recordings_measured":37,"channel_count_min":129,"channel_count_max":129,"sampling_frequency":2048,"power_line_frequency":50,"eeg_reference":"CMS/DRL","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-07-22 00:58:18\",\"metadata_updated_at\":\"2026-07-22 00:58:36\",\"archive_checked_at\":\"2026-06-22 00:51:09\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-22 00:11:18\",\"citations_updated_at\":\"2026-09-08 03:00:48\",\"channel_montage_checked_at\":\"2026-06-28 23:11:21\",\"hed_checked_at\":\"2026-06-30 04:43:03\",\"data_checked_at\":null,\"availability_report_at\":\"2026-07-23 01:14:00\",\"signal_defaults_at\":\"2026-09-02 11:59:27\",\"recording_stats_at\":\"2026-09-07 03:01:03\"}","participants":20,"num_citations":24,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"58.17 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on003505/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}