{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a33f3","dataset_id":"ds005509","associated_paper_doi":null,"authors":["Seyed Yahya Shirazi","Alexandre Franco","Maurício Scopel Hoffmann","Nathalia B. Esper","Dung Truong","Arnaud Delorme","Michael Milham","Scott Makeig"],"bids_version":"1.9.0","contact_info":["Seyed Yahya Shirazi"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005509.v1.0.1","datatypes":["eeg"],"demographics":{"subjects_count":330,"ages":[8,6,11,9,5,17,11,11,8,9,12,10,8,13,7,16,18,12,8,11,8,8,6,9,13,13,10,10,16,5,11,15,17,8,10,13,15,15,11,9,7,12,7,9,15,11,15,8,7,16,10,5,10,9,11,7,10,5,14,7,19,8,19,9,7,17,20,11,8,8,8,7,10,15,9,8,9,7,7,6,5,17,9,8,10,9,9,11,12,12,8,10,9,16,9,14,10,9,14,6,10,11,9,7,11,16,7,12,5,12,12,5,9,17,9,5,11,16,15,10,10,13,5,14,11,12,5,6,7,9,6,9,7,14,5,6,10,10,7,13,6,17,8,5,9,10,12,17,13,6,6,7,14,9,14,10,8,13,10,8,16,13,8,9,5,7,11,7,10,17,10,12,15,8,6,6,6,7,11,15,13,6,15,6,9,17,14,7,11,7,9,10,14,7,12,14,10,8,11,10,11,7,6,10,9,10,12,7,10,7,7,11,11,9,6,7,10,13,7,14,11,15,11,9,6,11,10,15,6,11,10,8,7,9,6,14,9,6,8,8,5,12,14,10,9,9,9,5,8,8,11,6,20,9,8,10,18,6,16,8,10,10,8,16,8,10,9,11,6,7,9,20,9,8,8,13,9,14,8,14,8,16,6,6,10,11,9,6,8,13,5,6,5,9,10,15,9,8,5,10,11,9,7,6,7,13,14,7,5,8,15,11,8,14,9,16,11,8,11,10,12,13,6,12,12,17,9,6,9,6],"age_min":5,"age_max":20,"age_mean":10.012121212121212,"species":null,"sex_distribution":{"m":221,"f":109},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds005509","osf_url":null,"github_url":null,"paper_url":null},"funding":["See https://childmind.org/science/global-open-science/healthy-brain-network/#donors","NIH/NIMH R01MH125934 for BIDS data preparation"],"ingestion_fingerprint":"6673e598c4dbec62b3e752c7851e6fecfba24239ea5d07114192cd0ed2c4d3e4","license":"CC-BY-SA 4.0","n_contributing_labs":null,"name":"Healthy Brain Network (HBN) EEG - Release 5","readme":"# The HBN-EEG Dataset\nThis is **Release 5** 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 >3000 participants (5-21 yo) involved in the HBN project. The data has been released in 11 separate Releases, each containing data from a different set of participants.\n### Tasks\nThe HBN-EEG dataset includes EEG recordings from participants performing six distinct tasks, which are categorized into passive and active tasks based on the presence of user input and interaction in the experiment.\n#### Passive Tasks\n1. **Resting State**: Participants rested with their heads on a chin rest, following instructions to open or close their eyes and fixate on a central cross.\n2. **Surround Suppression**: Participants viewed flashing peripheral disks with contrasting backgrounds, while event markers and conditions were recorded.\n3. **Movie Watching**: Participants watched four short movies with different themes, with event markers recording the start and stop times of presentations.\n#### Active Tasks\n4. **Contrast Change Detection**: Participants identified flickering disks with dominant contrast changes and received feedback based on their responses.\n5. **Sequence Learning**: Participants memorized and repeated sequences of flashed circles on the screen, designed for different age groups.\n6. **Symbol Search**: Participants performed a computerized symbol search task, identifying target symbols from rows of search symbols.\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. The data is now included with the EEG data within the `events.tsv` files.\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 the CBCL questionnaire, these factors provide valuable insights into the psychopathology of the participants, adding a rich layer of 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* **Future Releases:** We are committed to enhancing this dataset with additional, valuable features in its next stages, including:\n  * **Personalized EEG Electrode Locations:** To offer more detailed insights into individual neural activity patterns.\n  * **Personalized Lead Field Matrix:** Enabling better understanding and interpretation of EEG data.\n  * **Eye-Tracking Data:** Providing a window into the visual attention and processing mechanisms during EEG experiments.\n## Other HBN-EEG Datasets\nFor access all releases of the HBN-EEG dataset, follow this [link on NEMAR.org](https://nemar.org/dataexplorer/local?search=HBN-EEG). The links to the individual releases are below:\n#### **Release 1** | [DS005505](https://nemar.org/dataexplorer/detail?dataset_id=ds005505)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R1`\n- **Total subjects:** 136\n#### **Release 2** | [DS005506](https://nemar.org/dataexplorer/detail?dataset_id=ds005506)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R2`\n- **Total subjects:** 152\n#### **Release 3** | [DS005507](https://nemar.org/dataexplorer/detail?dataset_id=ds005507)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R3`\n- **Total subjects:** 183\n#### **Release 4** | [DS005508](https://nemar.org/dataexplorer/detail?dataset_id=ds005508)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R4`\n- **Total subjects:** 324\n#### **Release 5** | [DS005509](https://nemar.org/dataexplorer/detail?dataset_id=ds005509)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R5`\n- **Total subjects:** 330\n#### **Release 6** | [DS05510](https://nemar.org/dataexplorer/detail?dataset_id=ds005510)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R6`\n- **Total subjects:** 134\n#### **Release 7** | [DS005511](https://nemar.org/dataexplorer/detail?dataset_id=ds005511)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R7`\n- **Total subjects:** 381\n#### **Release 8** | [DS005512](https://nemar.org/dataexplorer/detail?dataset_id=ds005512)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R8`\n- **Total subjects:** 257\n#### **Release 9** | [DS005514](https://nemar.org/dataexplorer/detail?dataset_id=ds005514)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R9`\n- **Total subjects:** 295\n#### **Release 10** | [DS005515](https://nemar.org/dataexplorer/detail?dataset_id=ds005515)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R10`\n- **Total subjects:** 533\n#### **Release 11** | [DS005516](https://nemar.org/dataexplorer/detail?dataset_id=ds005516)\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_R11`\n- **Total subjects:** 430\n#### **Release NC** | *--NOT FOR COMMERCIAL USE-- This dataset is intended for research purposes only under the CC-BY-NC-SA-4.0 License and is not currently hosted on OpenNeuro/NEMAR. Any commercial use is prohibited.*\n- **S3 URI:** `s3://fcp-indi/data/Projects/HBN/BIDS_EEG/cmi_bids_NC`\n- **Total subjects:** 458\n## Copyright and License\nThe HBN-EEG dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY SA 4.0), except for the Not-for-Commercial-Use dataset. Please cite the dataset paper (https://doi.org/10.1101/2024.10.03.615261) as well as the original HBN publication (https://dx.doi.org/10.1038/sdata.2017.181).\n## Acknowledgments\nWe would like to express our gratitude to all participants and their families, whose contributions have made this project possible. We also thank our dedicated team of researchers and clinicians for their efforts in collecting, processing, and curating this data.","recording_modality":["eeg"],"senior_author":"Scott Makeig","sessions":[],"size_bytes":240701002046,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["DespicableMe","DiaryOfAWimpyKid","FunwithFractals","RestingState","ThePresent","contrastChangeDetection","seqLearning6target","seqLearning8target","surroundSupp","symbolSearch"],"timestamps":{"digested_at":"2026-04-22T12:27:58.797105+00:00","dataset_created_at":"2024-09-21T13:31:30.684Z","dataset_modified_at":"2025-03-11T02:37:20.000Z"},"total_files":3326,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005509","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv","task-DespicableMe_eeg.json","task-DespicableMe_events.json","task-DiaryOfAWimpyKid_eeg.json","task-DiaryOfAWimpyKid_events.json","task-FunwithFractals_eeg.json","task-FunwithFractals_events.json","task-RestingState_eeg.json","task-RestingState_events.json","task-ThePresent_eeg.json","task-ThePresent_events.json","task-contrastChangeDetection_eeg.json","task-contrastChangeDetection_events.json","task-seqLearning6target_eeg.json","task-seqLearning6target_events.json","task-seqLearning8target_eeg.json","task-seqLearning8target_events.json","task-surroundSupp_eeg.json","task-surroundSupp_events.json","task-symbolSearch_eeg.json","task-symbolSearch_events.json"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"c4c1e8369feb17dc","model":"openai/gpt-5.2","tagged_at":"2026-01-20T18:21:29.390562+00:00"},"tags":{"pathology":["Development"],"modality":["Visual"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.8,"modality":0.9,"type":0.8},"reasoning":{"few_shot_analysis":"Type convention: The few-shot example “A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects” is labeled Type=Clinical/Intervention because it is a large cohort dataset organized around a clinical/diagnostic focus (even though the task is resting-state). HBN-EEG similarly emphasizes mental health/psychopathology factors at scale rather than a single narrowly-defined cognitive experiment, which by convention maps to Clinical/Intervention.\nModality convention: The few-shot example “Meta-rdk: Preprocessed EEG data” is labeled Modality=Visual because the paradigm is visual dot-motion discrimination. HBN-EEG tasks prominently involve on-screen viewing (fixation cross, disks, movies, flashed circles, symbol search), matching the same Visual-stimulus convention.","metadata_analysis":"Key population/aim facts:\n- \"part of a larger initiative to advance the understanding of child and adolescent mental health\"\n- \"participants (5-21 yo) involved in the HBN project\"\n- \"P-Factor, Attention, Internalization and Externalization: Derived from the CBCL questionnaire... insights into the psychopathology of the participants\"\n\nKey task/stimulus facts (dominantly screen-based/visual):\n- \"Resting State... open or close their eyes and fixate on a central cross\"\n- \"Surround Suppression: Participants viewed flashing peripheral disks\"\n- \"Movie Watching: Participants watched four short movies\"\n- \"Sequence Learning... sequences of flashed circles on the screen\"\n- \"Symbol Search... computerized symbol search task, identifying target symbols\"","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n1) Metadata says: \"child and adolescent mental health\" and participants are \"5-21 yo\" with \"psychopathology\" factors derived from CBCL.\n2) Few-shot suggests: datasets centered on a clinical/mental-health cohort focus should not be labeled Healthy.\n3) ALIGN: Yes (mental-health focus + developmental age range aligns with Development rather than Healthy).\n\nModality:\n1) Metadata says: \"fixate on a central cross\", \"viewed flashing peripheral disks\", \"watched... movies\", \"flashed circles on the screen\", \"symbol search\".\n2) Few-shot suggests: screen-based stimulus paradigms map to Visual.\n3) ALIGN: Yes (dominantly visual stimulation). Potential minor conflict: movies could be audiovisual, but audio is not explicitly stated.\n\nType:\n1) Metadata says: dataset is intended to \"advance the understanding of child and adolescent mental health\" and includes CBCL-derived \"psychopathology\" factors.\n2) Few-shot suggests: large cohort datasets organized around clinical status/biomarkers map to Clinical/Intervention (e.g., dementia dataset).\n3) ALIGN: Yes (primary framing is mental health/psychopathology at scale rather than a single cognitive construct).","decision_summary":"Pathology top-2:\n- Development (selected): supported by \"child and adolescent mental health\", \"participants (5-21 yo)\", and CBCL-derived \"psychopathology\" factors.\n- Healthy (runner-up): possible because it is called \"Healthy Brain Network\", but the metadata explicitly emphasizes mental health/psychopathology rather than a purely normative sample.\nAlignment: few-shot conventions and metadata align toward Development.\nConfidence basis: 3 explicit population/aim quotes.\n\nModality top-2:\n- Visual (selected): supported by \"fixate on a central cross\", \"viewed flashing peripheral disks\", \"watched... movies\", \"flashed circles on the screen\", \"symbol search\".\n- Multisensory (runner-up): movies are often audiovisual, but audio is not explicitly mentioned.\nAlignment: matches few-shot Visual labeling for screen-based paradigms.\nConfidence basis: 4+ explicit visual-stimulus quotes + strong few-shot analog.\n\nType top-2:\n- Clinical/Intervention (selected): supported by the dataset framing around \"child and adolescent mental health\" and CBCL-derived \"psychopathology\" factors, consistent with few-shot convention for clinically-oriented large cohorts.\n- Other (runner-up): because the dataset spans multiple cognitive tasks (perception/learning/attention/rest) rather than one construct.\nAlignment: matches few-shot convention (clinical-focus cohort datasets -> Clinical/Intervention).\nConfidence basis: 2 explicit mental-health/psychopathology framing quotes + strong few-shot analog."}},"nemar_citation_count":1,"computed_title":"Healthy Brain Network (HBN) EEG - Release 5","nchans_counts":[{"val":129,"count":3326}],"sfreq_counts":[{"val":500.0,"count":3326}],"stats_computed_at":"2026-04-22T23:16:00.309763+00:00","source_url":"https://openneuro.org/datasets/ds005509","total_duration_s":919247.832,"canonical_name":null,"name_confidence":0.98,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"canonical","author_year":"Shirazi2024_R5"}}