BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients
- Participants
- 10
- Channels
- 61 (10-05)
- HED
- v8.4.0
- Size
- 1.20 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
35 results for "neurostimulation" · page 3 of 4 · ranked by relevance
This dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.
This dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
This dataset comprises electrocorticography (ECoG) recordings from 20 C57BL/6 mice exposed to combinations of diagnostic ultrasound (tDUS) and visual stimuli to investigate how transcranially delivered ultrasound modulates visual cortex responses. Recordings from visual and somatosensory cortices were collected at 20 kS/s during three experimental conditions: light-only, ultrasound-only, and combined ultrasound with light stimulation. The study demonstrates that tDUS enhances exogenously induced brain activity when combined with visual stimuli, with implications for understanding ultrasound-mediated neuromodulation.
This dataset comprises laser-evoked pain responses from 30 participants who received fixed-intensity nociceptive stimuli at discrete energy levels (low pain: 3J or 3.5J; high pain: 3.5J or 4J) while providing subjective pain intensity ratings. The study involved 30 stimulation trials organized in 3 blocks with concurrent neurophysiological recordings, designed to investigate the neural correlates of pain perception and subjective pain rating behavior.
This dataset comprises EEG recordings from 52 participants (39 females) investigating the effects of sham hypnosis techniques using a 2×2 balanced placebo design. Participants underwent four experimental conditions involving conventional and unconventional hypnotic inductions presented as either hypnosis or relaxation control, with brain activity recorded using 64-channel EEG during baseline and experimental blocks. The study examines how expectancy and framing influence the neurophysiological response to hypnotic inductions.
This dataset investigates whether temporal expectation modulates initial sensory processing in the human spinal cord using invasive electrophysiological recordings. Eight patients with neuropathic pain and implanted cervical epidural electrodes performed an auditory-cued median nerve stimulation task under two conditions: fixed (1100 ms) or variable (100-2100 ms) cue-to-stimulus intervals. Participants counted rare double-stimulus trials (80 ms interstimulus interval) within ~5 minute blocks. The study tests the hypothesis that predictive timing signals influence early somatosensory processing at the spinal level. Recordings were obtained from epidural electrode contacts placed alongside the dorsal cervical spinal cord.
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.
This dataset comprises EEG recordings from 41 participants collected to investigate the effects of rhythmic visual stimulation on experimental pain perception. The study was conducted at Université Laval in Quebec, Canada, and examines whether rhythmic visual stimulation modulates pain-related neural responses. The dataset includes raw EEG data and associated metadata from a controlled experimental protocol designed to test pain perception under different visual stimulation conditions. This is a derived dataset based on OpenNeuro ds006897.v1.0.0.
This dataset comprises laser-evoked potentials recorded simultaneously from the human spinal cord and cortex. The study investigates nociceptive processing across multiple levels of the somatosensory system using high-resolution electrophysiological recordings. Data include EEG and spinal cord recordings from multiple subjects, providing insights into pain-related neural activity from peripheral to central nervous system levels.