Alex Motor Imagery dataset
…brain-computer interface, motor imagery, EEG, Riemannian geometry, asynchronous BCI, brain-switch…
- Participants
- 8
- Channels
- 16 (10-20)
- HED
- v8.4.0
- Size
- 232 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "Brain Concussion" · page 8 of 10 · ranked by relevance
…brain-computer interface, motor imagery, EEG, Riemannian geometry, asynchronous BCI, brain-switch…
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.
…Source imaging of high-density visual evoked potentials with multi-scale brain…
…Hz - **Manufacturer:** Brain Products - **Manufacturer's Model Name:** BrainAmp DC - **Cap Manufacturer…
This dataset comprises neuroimaging and electrophysiological recordings from 18 participants who engaged in reward-based cognitive tasks during wakefulness followed by sleep monitoring in an MRI scanner. Participants played two games (FACE and MAZE) during 3T fMRI acquisition, with one game designated as rewarded and the other as non-rewarded. Subsequent sleep sessions were recorded with simultaneous 64-channel EEG and fMRI for 1-2 hours, during which participants reached either N2 or N3 sleep stages, followed by a memory test. The dataset enables investigation of how reward biases spontaneous neural reactivation during sleep through multimodal neuroimaging analysis.
[ while…
This dataset comprises intracranial EEG (iEEG) recordings from ten pediatric epilepsy patients undergoing intracranial monitoring for seizure localization, recorded while they performed a visuomotor task. Subjects completed five sessions of Speed Match, a finger-tapping visuomotor game on the Lumosity platform, during interictal periods. The dataset provides continuous iEEG signals along with trial timing information for finger tapping events, supporting research into visuomotor processing and cortical dynamics in epilepsy patients.