{"dataset":{"id":"48","dataset_id":"nm000103","name":"Healthy Brain Network EEG - Not for Commercial Use","description":"NEMAR Dataset nm000103: HBN-EEG NC - Healthy Brain Network EEG data","owner_user_id":2,"status":"active","github_repo":"nemarDatasets/nm000103","concept_doi":"10.82901/nemar.nm000103","latest_version_doi":"10.82901/nemar.nm000103.v2.0.0","created_at":"2026-01-19 03:25:23","updated_at":"2026-07-10 21:42:34","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Healthy Brain Network EEG - Not for Commercial Use\",\n  \"description\": \"The Healthy Brain Network EEG dataset comprises high-resolution electroencephalogram recordings and behavioral responses from child and adolescent participants collected during structured EEG tasks. The dataset includes hierarchical event descriptors for systematic meta-analysis, behavioral questionnaire-derived factors (P-factor, attention, internalizing/externalizing behaviors), and quality control metrics. This BIDS-formatted resource advances understanding of neurodevelopmental and mental health phenotypes through integrated neurophysiological and behavioral assessment. Additional funding sources are acknowledged at https://childmind.org/science/global-open-science/healthy-brain-network/#donors\",\n  \"methods_description\": \"EEG data were collected during various cognitive and behavioral tasks from HBN participants. Behavioral responses including reaction times and accuracy were recorded concurrently with EEG acquisition. Events are annotated using Hierarchical Event Descriptors (HED version 8.3.0) to enable systematic meta-analysis. Quality control procedures verified data integrity, task completeness, and preprocessing readiness.\",\n  \"license\": \"CC-BY-NC-SA 4.0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Seyed Yahya Shirazi\": {\n      \"orcid\": \"0000-0001-5557-259X\",\n      \"affiliations\": [\n        {\n          \"name\": \"Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego\",\n          \"identifier\": \"https://ror.org/0168r3w48\",\n          \"scheme\": \"ROR\"\n        }\n      ]\n    },\n    \"Alexandre Franco\": {\n      \"orcid\": \"0000-0002-1552-1090\",\n      \"affiliations\": [\n        {\n          \"name\": \"Child Mind Institute\"\n        },\n        {\n          \"name\": \"Center for Brain Imaging and Neuromodulation, Nathan Kline Institute\"\n        },\n        {\n          \"name\": \"Department of Psychiatry, NYU Grossman School of Medicine\"\n        }\n      ]\n    },\n    \"Maurício Scopel Hoffmann\": {\n      \"orcid\": \"0000-0003-4232-3169\",\n      \"affiliations\": [\n        {\n          \"name\": \"Department of Neuropsychiatry, Universidade Federal de Santa Maria\"\n        },\n        {\n          \"name\": \"Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul\"\n        },\n        {\n          \"name\": \"Care Policy and Evaluation Centre, London School of Economics and Political Science\"\n        }\n      ]\n    },\n    \"Nathalia B. Esper\": {\n      \"orcid\": \"0000-0003-3218-9226\",\n      \"affiliations\": [\n        {\n          \"name\": \"Child Mind Institute\"\n        }\n      ]\n    },\n    \"Dung Truong\": {\n      \"orcid\": \"0000-0003-4540-3551\",\n      \"affiliations\": [\n        {\n          \"name\": \"Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego\",\n          \"identifier\": \"https://ror.org/0168r3w48\",\n          \"scheme\": \"ROR\"\n        }\n      ]\n    },\n    \"Arnaud Delorme\": {\n      \"orcid\": \"0000-0002-0799-3557\",\n      \"affiliations\": [\n        {\n          \"name\": \"Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego\",\n          \"identifier\": \"https://ror.org/0168r3w48\",\n          \"scheme\": \"ROR\"\n        }\n      ]\n    },\n    \"Michael Milham\": {\n      \"orcid\": \"0000-0003-3532-1210\",\n      \"affiliations\": [\n        {\n          \"name\": \"Child Mind Institute\"\n        },\n        {\n          \"name\": \"Center for Brain Imaging and Neuromodulation, Nathan Kline Institute\"\n        }\n      ]\n    },\n    \"Scott Makeig\": {\n      \"orcid\": \"0000-0002-9048-8438\",\n      \"affiliations\": [\n        {\n          \"name\": \"Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego\",\n          \"identifier\": \"https://ror.org/0168r3w48\",\n          \"scheme\": \"ROR\"\n        }\n      ]\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"child and adolescent mental health\"\n    },\n    {\n      \"term\": \"neurodevelopment\"\n    },\n    {\n      \"term\": \"behavioral assessment\"\n    },\n    {\n      \"term\": \"hierarchical event descriptors\"\n    },\n    {\n      \"term\": \"internalizing and externalizing behaviors\"\n    },\n    {\n      \"term\": \"HED\"\n    },\n    {\n      \"term\": \"Healthy Brain Network\"\n    }\n  ],\n  \"related_identifiers\": [\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/nm000103\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=nm000103\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.5281/zenodo.17306881\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsIdenticalTo\"\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  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"source_hash\": \"ff03a22a5148723b5891a5281901803d634a3f8803ad35fe550b9ad30897757d\"\n}","last_activity_at":"2026-02-12 09:49:28","source":null,"source_id":null,"subject_count":447,"modalities":"eeg","age_min":5.0059,"age_max":21.8166,"file_size":268698800306,"total_files":21142,"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. Esper, Dung Truong, Arnaud Delorme, Michael Milham, Scott Makeig","license":"CC-BY-NC-SA 4.0","readme":"## Overview\nThis is **NOT for Commercial-Use Release** of HBN-EEG, the EEG and (soon-released) Eye-Tracking Section of the Child Mind Network Healthy Brain Network (HBN) Project, curated into the Brain Imaging Data Structure (BIDS) format. This dataset is part of a larger initiative to advance the understanding of child and adolescent mental health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et al., Sci Data 2017).\n## Data Description\nThis dataset comprises electroencephalogram (EEG) data and behavioral responses collected during EEG experiments from participants involved in the HBN project.\n### Contents\n* **EEG Data:** High-resolution EEG recordings capture a wide range of neural activity during various tasks.\n* **Behavioral Responses:** Participant responses during EEG tasks, including reaction times and accuracy. This data was originally recorded within the behavior directory of the HBN data. This data is now included with the EEG data within the_events. tsv` files.\n\n### Special Features\n* **Hierarchical Event Descriptors (HED):** Events, including the original EEG events and the included behavioral events, have clear explanations, including proper HED annotation suitable for systematic meta and mega analysis of the data.\n* **P-Factor, Attention, Internalization and Externalization:** Derived from behavioral questionnaires, these factors provide valuable insights into the internalizing and externalizing behaviors of participants, adding a rich layer of psychological interpretation to the EEG and behavioral data.\n* **Data quality and availability:** We performed minimal quality control to ensure that the data was not corrupted, each task had its necessary events, and was ready for preprocessing. The results of this quality control are available in the `participants.tsv` file.\n\n## Copyright and License\nThis dataset is licensed under the non-commercial version of the Creative Common Attributions version 4.0 license (CC BY NC SA 4.0) based on the participant's consent. Subjects (or their legal gurdians) did NOT provide consent for their data to be used for any commercial pourposes.\n\n## Acknowledgments\nWe would like to express our gratitude to all participants and their families, whose contributions have made this project possible. 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