HD-EEGtask(Dataset 1)
This high-density EEG dataset comprises resting-state and task-based recordings from 23 healthy volunteers performing visual naming and spelling tasks. Collected between 2012-2013 at Rennes University Hospital using a 256-electrode EEG system, the dataset enables investigation of dynamic functional brain network reorganization during language production and cognitive processing. The study provides insights into spatiotemporal patterns of brain connectivity during object naming and orthographic tasks.
- Participants
- 23
- Channels
- 256 (egi-geodesic)
- Size
- 90.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026