{"dataset":{"id":"115","dataset_id":"on005507","name":"Healthy Brain Network (HBN) EEG - Release 3","description":"Imported from OpenNeuro ds005507","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on005507","concept_doi":"10.82901/nemar.on005507","latest_version_doi":"10.82901/nemar.on005507.v1.0.0","created_at":"2026-03-04 20:06:31","updated_at":"2026-07-10 22:51:53","zenodo_concept_id":"20370810","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Healthy Brain Network (HBN) EEG - Release 3\",\n  \"license\": \"CC-BY-SA 4.0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Seyed Yahya Shirazi\": {\n      \"orcid\": \"0000-0001-5557-259X\"\n    },\n    \"Alexandre Franco\": {\n      \"orcid\": \"0000-0002-1552-1090\"\n    },\n    \"Maurício Scopel Hoffmann\": {},\n    \"Nathalia B. Esper\": {\n      \"orcid\": \"0000-0003-3218-9226\"\n    },\n    \"Dung Truong\": {\n      \"orcid\": \"0000-0003-4540-3551\"\n    },\n    \"Arnaud Delorme\": {\n      \"orcid\": \"0000-0002-0799-3557\"\n    },\n    \"Michael Milham\": {},\n    \"Scott Makeig\": {\n      \"orcid\": \"0000-0002-9048-8438\"\n    }\n  },\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.18112/openneuro.ds005507.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsIdenticalTo\"\n    },\n    {\n      \"identifier\": \"10.1101/2024.10.03.615261\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/sdata.2017.181\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/sdata.2017.40\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on005507\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on005507\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"See https://childmind.org/science/global-open-science/healthy-brain-network/#donors\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"R01MH125934\",\n      \"award_title\": \"BIDS data preparation\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"sizes\": [\n    \"149.6 GB (1813 files)\"\n  ],\n  \"formats\": [\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\"\n  ],\n  \"description\": \"The Healthy Brain Network (HBN) EEG Release 3 dataset comprises high-resolution electroencephalogram recordings from 183 children and adolescents (ages 5-21 years) performing six distinct cognitive and perceptual tasks, including resting state, passive viewing tasks (surround suppression, movie watching), and active tasks (contrast change detection, sequence learning, symbol search). The dataset includes behavioral responses, hierarchical event descriptors for systematic meta-analysis, and psychopathology measures derived from the Child Behavior Checklist, providing a rich resource for understanding neural correlates of typical and atypical development.\",\n  \"methods_description\": \"EEG data were collected during six tasks: three passive tasks (resting state with eyes open/closed fixation, surround suppression with flashing peripheral disks, and movie watching) and three active tasks requiring participant responses (contrast change detection with feedback, sequence learning with age-appropriate designs, and computerized symbol search). Behavioral responses including reaction times and accuracy were recorded during task performance. Data quality control ensured absence of corruption, presence of necessary task events, and readiness for preprocessing.\",\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"child development\"\n    },\n    {\n      \"term\": \"adolescent neuroscience\"\n    },\n    {\n      \"term\": \"cognitive tasks\"\n    },\n    {\n      \"term\": \"resting state\"\n    },\n    {\n      \"term\": \"psychopathology\"\n    },\n    {\n      \"term\": \"hierarchical event descriptors\"\n    },\n    {\n      \"term\": \"BIDS\"\n    },\n    {\n      \"term\": \"task-based EEG\"\n    },\n    {\n      \"term\": \"HED\"\n    },\n    {\n      \"term\": \"behavioral responses\"\n    },\n    {\n      \"term\": \"neurodevelopment\"\n    },\n    {\n      \"term\": \"surround suppression\"\n    },\n    {\n      \"term\": \"contrast detection\"\n    },\n    {\n      \"term\": \"sequence learning\"\n    },\n    {\n      \"term\": \"symbol search\"\n    },\n    {\n      \"term\": \"CBCL\"\n    },\n    {\n      \"term\": \"passive tasks\"\n    },\n    {\n      \"term\": \"active tasks\"\n    },\n    {\n      \"term\": \"movie watching\"\n    },\n    {\n      \"term\": \"P-factor\"\n    }\n  ],\n  \"source_hash\": \"b1f88440d9f65a291d82743de49df86630a9c48101024e340f705357d8f1b721\"\n}","last_activity_at":"2026-03-04 20:06:31","source":"openneuro","source_id":"ds005507","subject_count":184,"modalities":"eeg","age_min":5.0414,"age_max":20.9982,"file_size":149639212716,"total_files":1813,"tasks":"DespicableMe,DiaryOfAWimpyKid,FunwithFractals,RestingState,ThePresent,contrastChangeDetection,seqLearning6target,seqLearning8target,surroundSupp,symbolSearch","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Seyed Yahya Shirazi, Alexandre Franco, Maurício Scopel Hoffmann, Nathalia B. 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