…inter-brain synchrony in collaborative BCI - **Feedback type**: visual - **Stimulus type**: visual…
…movies and performed an audiovisual synchrony detection. Each trial started with a…
A multimodal dataset of human balance during beam walking and standing on a treadmill-mounted balance beam. It includes synchronized 128-channel EEG, lower leg and neck EMG, EOG, and motion capture. Participants were exposed to visual field rotations in virtual reality or physical side-to-side waist pulls, which allows electrocortical and muscular responses to sensorimotor perturbations to be compared.
…Each event (random pictures) has three phases: [-2s, 0s] is the baseline…
EEG recordings from 20 participants performing a novel finger motor imagery paradigm in which cues for individual fingers were presented in random and sequential order blocks. The order of blocks was counterbalanced across participants. Data were acquired with a 65-channel g.tec system at 512 Hz and organized in BIDS format.
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.
…and end of the five phases in a block •(ii)marker numbers…
Intracranial EEG (stereo-EEG) recordings from 22 patients with drug-resistant epilepsy undergoing presurgical evaluation, capturing responses to 115 high-frequency intracranial electrical stimulations that evoked visual hallucinations. Each recording spans 21 seconds around the stimulation, with events annotated by stimulated contact pair, current intensity, and evoked effect, classified into 14 clinical categories. The data support identification of brain networks underlying visual symptoms and creation of symptom-related activation and connectivity maps.
…Each experimental session was divided into two phases: an offline phase and…
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.