…1) sedation - animals had no ischemia and 2) ischemia - animals had sedation…
EEG motor imagery dataset recorded from 50 acute stroke patients (1-30 days post-stroke) using a wireless portable semi-dry saline EEG system. Patients imagined left- or right-hand grasping during video-guided trials (40 per subject). It is presented as the first open dataset addressing left- and right-handed motor imagery in acute stroke, supporting BCI algorithm development and rehabilitation applications. Raw and preprocessed data and patient clinical characteristics are provided.
[ EEG recordings from individuals with Parkinson's disease and age-matched healthy controls. Each participant is labeled as living or deceased, so the data can be used to test whether resting EEG distinguishes later mortality. The dataset supports exploration of EEG biomarkers of mortality risk and development of machine learning classifiers.
[ elicited by checkerboard-pattern m-sequence stimuli, recorded from 16 healthy participants with 16 channels at 256 Hz. It was collected to evaluate how the spatial frequency of visual stimuli affects the performance and user experience of c-VEP-based brain-computer interfaces. Each stimulus condition is stored as a separate session, with three runs per session (two for training, one for testing). The data are distributed in BIDS format via MOABB.
…of Hermes et al., 2015, Cerebral Cortex "Stimulus Dependence of Gamma Oscillations…
This dataset contains simultaneous multimodal EEG and functional near-infrared spectroscopy (fNIRS) recordings from patients undergoing general anesthesia. It is organized in BIDS format and supports research on brain activity and hemodynamics during anesthetic administration and changes in consciousness.
…Outcome is the Cerebral Performance Category (CPC), dichotomised as good (CPC 1…
EEG recordings from 54 healthy participants performing a 36-symbol ERP (P300) row-column speller task with face stimuli, collected over two sessions with offline training and online copy-spelling test phases. Data were recorded at 1000 Hz from 62 EEG channels plus 4 additional EMG channels. The dataset is part of a three-paradigm BCI collection (ERP, SSVEP, motor imagery) created to investigate BCI illiteracy and distributed with the OpenBMI toolbox.