BNCI 2025-001 Motor Kinematics Reaching dataset
- Participants
- 20
- Channels
- 67 (10-05)
- Citations
- 3
- HED
- v8.4.0
- Size
- 15.0 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
83 results for "sensorimotor rhythm" · page 8 of 9 · ranked by relevance
This dataset comprises electroencephalographic recordings from 32 participants performing motor imagery tasks during sit-to-stand and stand-to-sit transitions in both offline and online brain-computer interface (BCI) paradigms. Participants completed guided motor imagery trials while seated or standing, with EEG signals recorded from 17 channels at 250 Hz. The dataset includes offline calibration phases used to train machine learning classifiers and corresponding online validation phases where real-time BCI decoding was performed, providing a comprehensive resource for investigating neural correlates of postural transitions and BCI performance.
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
This multimodal dataset comprises simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adult participants during two experimental conditions: naturalistic smartphone interaction and standardized video viewing. Hardware-based TTL synchronization enables precise temporal alignment across all physiological modalities, facilitating investigation of neural and physiological responses to digital device interaction.
This dataset comprises EEG recordings from 27 participants listening to original and chimeric music stimuli, designed to investigate pitch-time interactions in music encoding. Chimeric music pairs two distinct melodies with exchanged pitch contours and note onset-times, thereby dissociating pitch and temporal information while preserving marginal statistics. The study employs electrophysiological recordings to characterize how the brain encodes musical patterns when pitch and temporal sequences are decorrelated.
This dataset comprises scalp electroencephalography recordings from 27 stroke patients performing lower-limb motor imagery tasks as part of a longitudinal rehabilitation training protocol. The multi-paradigm design supports research on motor-imagery brain–computer interfaces for gait and lower-limb rehabilitation following stroke, with repeated sessions enabling investigation of learning and neuroplasticity during motor recovery.
This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.
Imported from OpenNeuro ds004022
This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.