LittlePrince_MEG_French_Read_Pallier2025
…T1-weighted MRI (`sub-XX_ses-01_T1w.nii.gz`) and corresponding…
- Participants
- 50
- Citations
- 39
- Size
- 300 GB
- Version
- v1.0.0
- Updated
- Jun 14, 2026
…T1-weighted MRI (`sub-XX_ses-01_T1w.nii.gz`) and corresponding…
A large, longitudinal EEG dataset collected while 62 healthy adults learned to control a sensorimotor rhythm-based brain-computer interface. Participants completed 7-11 online training sessions of continuous cursor control using motor imagery of the left hand, right hand, both hands, and rest. In total the dataset comprises 598 sessions and over 250,000 trials, offering a resource for designing and evaluating BCI algorithms and for studying BCI learning.
…Anatomical MRI recordings: To improve the spatial resolution of the source reconstruction…
…was the only session with MRI. (MRI will be uploaded ...later). Session…
…Each subject obtained their own structural MRI for MEG source localization. Corresponding…
HEFMI-ICH is a hybrid EEG-fNIRS motor imagery dataset for brain-computer interface research in intracerebral hemorrhage (ICH). It includes 37 participants (17 healthy, 20 ICH patients) who performed two-class left- and right-hand grasping motor imagery over up to three sessions. This MOABB-packaged version contains pre-epoched, preprocessed 32-channel EEG, intended for developing BCI-based rehabilitation approaches.
…The experiment involves collecting task-based and resting-state fMRI, structural MRI…
A BIDS-formatted dataset of high-density EEG recorded concurrently with ECG, EOG, and continuous behavioral vigilance measures (compensatory tracking task) during transcranial electrical stimulation. Nine HD-tES montages targeting frontal, motor, and parietal regions with DC, 5 Hz, and 30 Hz waveforms were applied across 62 sessions with 19 participants, totaling more than 783 stimulation trials. The dataset supports study of tDCS/tACS location and frequency effects, brain state, physiology, fatigue, and cognitive performance.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002814-blue…
A longitudinal EEG dataset of 19 healthy right-handed participants trained over four sessions on separate days to control a brain-computer interface. Participants used sustained right-hand grasping motor imagery versus rest to move a cursor on a one-dimensional two-target task with online visual feedback. Each session comprised six feedback runs, giving 14,431 trials in total. The recordings were made with a 74-channel EEG system alongside MEG and are organized in BIDS format.