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bioRxiv · 10.1101/2024.10.03.615261

HBN-EEG: The FAIR implementation of the Healthy Brain Network (HBN) electroencephalography dataset

Shirazi, S. Y.·Franco, A.·Scopel Hoffmann, M.·Esper, N.·Truong, D.·Delorme, A.·Milham, M.·Makeig, S.
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Abstract

The Child Mind Institute (CMI) Healthy Brain Network (HBN) project has recorded phenotypic, behavioral, and neuroimaging data from [~]5,000 children and young adults between the ages of 5 and 21. Here, we present HBN-EEG, the "analysis-ready" data from its high-density (128-channel) electroencephalographic (EEG) recording sessions formatted as Brain Imaging Data Structure (BIDS) datasets. HBN-EEG also includes behavioral and task-condition events annotated using Hierarchical Event Descriptors (HED), making the datasets analysis-ready for many purposes without forensic search for unreported details. We also ensured data consistency and event integrity and marked inconsistencies. HBN-EEG sessions include six tasks, three with no participant behavioral input (passive tasks) and three including button press responses following task instructions (active tasks). Openly available participant information includes age, gender, and four psychopathology dimensions (internalizing, externalizing, attention, and p-factor) derived from a bifactor model of questionnaire data. Currently, HBN-EEG data from more than 2,600 participants is freely available on NEMAR (nemar.org) and OpenNeuro in the form of nine dataset releases, with further dataset releases to follow.

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Shirazi, S. Y., Franco, A., Scopel Hoffmann, M., Esper, N., Truong, D., Delorme, A., Milham, M., Makeig, S.. 2024-10-03. HBN-EEG: The FAIR implementation of the Healthy Brain Network (HBN) electroencephalography dataset. https://doi.org/10.1101/2024.10.03.615261

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