HBN-EEG dataset

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

The HBN-EEG dataset provides a comprehensive collection of high-density EEG recordings from the Healthy Brain Network project, formatted in the Brain Imaging Data Structure (BIDS) standard. This dataset includes annotated behavioral and task-condition events, making it ready for various types of analysis without the need for extensive preprocessing. With data from over 2,600 participants, the HBN-EEG dataset supports the development and validation of EEG analysis methods, including machine learning and deep learning approaches. Additionally, it aims to facilitate the creation of EEG-based biomarkers for psychiatric disorders, offering valuable insights into brain function and mental health.

October 2024 ยท Seyed Yahya SHirazi, Alexandre Franco, Mauricio Scopel Hoffman, Nathalia Esper, Dung Truong, Arnaud Delorme, Michael Milham, Scott Makeig
Participants per Task and Release Overview

HBN-EEG: Healthy Brain Network EEG Datasets

The Healthy Brain Network EEG Datasets (HBN-EEG) includes 9 dataset releases containing EEG, behavioral data, and rich event annotations from participants aged 5-21 years, supporting large-scale analyses and machine-learning research on mental health.

Seyed Yahya SHirazi, Alexandre Franco, Mauricio Scopel Hoffman, Nathalia Esper, Dung Truong, Arnaud Delorme, Michael Milham, Scott Makeig