{"dataset":{"id":"61144","dataset_id":"on006033","name":"Synchronous EEG and fMRI dataset on inner speech","description":"This dataset comprises simultaneous EEG and fMRI recordings from 3 participants performing an inner speech task across 2 sessions each. Participants covertly produced 8 words presented in randomized order, each repeated 40 times, while EEG (64-channel, 5000 Hz) and fMRI (TR=2s) data were acquired concurrently. The dataset is intended to support research into the neural correlates of inner speech using multimodal neuroimaging.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on006033","concept_doi":"10.82901/nemar.on006033","latest_version_doi":"10.82901/nemar.on006033.v1.0.0","created_at":"2026-06-28 09:31:00","updated_at":"2026-08-19 00:59:44","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Synchronous EEG and fMRI dataset on inner speech\",\n  \"description\": \"This dataset comprises simultaneous EEG and fMRI recordings from 3 participants performing an inner speech task across 2 sessions each. Participants covertly produced 8 words presented in randomized order, each repeated 40 times, while EEG (64-channel, 5000 Hz) and fMRI (TR=2s) data were acquired concurrently. The dataset is intended to support research into the neural correlates of inner speech using multimodal neuroimaging.\",\n  \"methods_description\": \"Simultaneous EEG-fMRI recordings were collected using a 3T MRI scanner and a 64-channel BrainProducts EEG system sampled at 5000 Hz. Each trial consisted of a fixation period (2s), stimulus display (2s), and rest (12s), with 8 words presented in random order and repeated 40 times each. EEG data underwent preprocessing including pulse artifact removal using BrainVision Analyzer software; no further transformations were applied to maintain BIDS-raw compliance.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Foteini Simistira Liwicki\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"fMRI\"\n    },\n    {\n      \"term\": \"inner speech\"\n    },\n    {\n      \"term\": \"multimodal neuroimaging\"\n    },\n    {\n      \"term\": \"Speech, Alaryngeal\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D013071\"\n    },\n    {\n      \"term\": \"Brain Mapping\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D001931\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on006033\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on006033\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds006033.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Lulea University of Technology, Sweden\",\n      \"award_number\": \"LTU-154-2023\",\n      \"award_title\": \"Kompetensutveckling till professor\"\n    },\n    {\n      \"funder_name\": \"Lulea University of Technology, Sweden\",\n      \"award_number\": \"LTU-4908-2022\",\n      \"award_title\": \"Labbfonden Medel för infrastruktur vid Luleå tekniska universitet, 2023\"\n    },\n    {\n      \"funder_name\": \"Kempe Foundation, Sweden\",\n      \"award_number\": \"JCSMK23-0102\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"Structural MRI Dataset\",\n  \"modalities\": [\n    \"anat\",\n    \"func\",\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"15.9 GB (25 files)\"\n  ],\n  \"formats\": [\n    \".eeg\",\n    \".json\",\n    \".md\",\n    \".nii\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"86e4437738f06e03c3464a9599b85a8807c23c211f9e94be855b26a4e6589b28\"\n}","last_activity_at":"2026-06-28 09:31:00","source":"openneuro","source_id":"ds006033","subject_count":3,"modalities":"anat,eeg,func","age_min":25,"age_max":35,"file_size":16449274784,"total_files":67,"tasks":"innerspeech","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Foteini Simistira Liwicki","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006033-blue)](https://doi.org/10.82901/nemar.on006033)\n\n# Inner Speech EEG-fMRI Dataset\n\n## Description\nThis dataset contains simultaneous EEG-fMRI recordings for inner speech experiments. Data were collected using a 3T MRI scanner and 64-channel BrainProducts EEG system. The EEG data have undergone preprocessing, including pulse artifact removal, using the BrainVision Analyzer software. No further data transformations have been applied to ensure the dataset remains BIDS-compliant as \"raw\".\n\n## Subjects\n- Number of subjects: 3\n- Sessions per subject: 2\n- Tasks: Inner speech\n\n## Experimental Protocol\n- Each trial includes a fixation period (2s), stimulus display (2s), and rest (12s).\n- 8 words were presented in random order, each repeated 40 times.\n- EEG sampled at 5000 Hz, fMRI acquired with TR=2s.\n\n## Data Organization\n- Functional MRI data: `sub-xx/ses-xx/func/`\n- EEG data: `sub-xx/ses-xx/eeg/`\n- Event markers: `events.tsv`\n- BIDS-compatible metadata included in JSON sidecars.\n\n## Contact\nFor inquiries, contact: Foteini Simistira Liwicki (Foteini.liwicki@ltu.se)\n","bids_version":"1.7.0","sessions_count":2,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"failed","zarr_converted_at":null,"zarr_store_count":null,"zarr_index_etag":null,"zarr_source_commit":null,"archive_status":"ready","archive_size":13344031973,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":5,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":"2026-08-26 20:43:42","num_dataset_citations":1,"num_datapaper_citations":0,"n_channels":64,"electrode_system":null,"has_hed":0,"hed_version":"8.3.0","is_exemplar":0,"bytes_present":15876672323,"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":null,"recording_duration_min":null,"recording_duration_max":null,"recording_count":null,"recordings_unavailable":null,"recordings_measured":null,"channel_count_min":null,"channel_count_max":null,"sampling_frequency":5000,"power_line_frequency":50,"eeg_reference":"FCz","placement_scheme":"10-20","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 00:59:36\",\"metadata_updated_at\":\"2026-08-19 00:59:43\",\"archive_checked_at\":\"2026-06-28 09:48:32\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-28 09:40:23\",\"citations_updated_at\":\"2026-09-08 03:00:53\",\"channel_montage_checked_at\":\"2026-06-28 23:52:47\",\"hed_checked_at\":\"2026-06-30 05:27:13\",\"data_checked_at\":\"2026-08-25 03:00:25\",\"availability_report_at\":\"2026-07-23 01:28:02\",\"recording_stats_at\":null,\"signal_defaults_at\":\"2026-09-02 12:42:45\"}","participants":3,"num_citations":1,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"15.32 GB","zarr_data_failures":null,"zarr_index_url":null,"attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}