EEG dataset investigating transcranial direct current stimulation (tDCS) modulation of visual cortex during motor imagery. Recordings were acquired with a Brain Products EEG system at 5000 Hz from a small group of healthy adult participants across three recording sessions. The dataset is organized in BIDS format.
…The deposit contains the MRI (data_MRI/S*_MRI_orig.mgz) and…
EEG dataset from 25 healthy participants performing a cursor-control brain-computer interface task across five sessions. The study combined motor imagery, overt spatial attention, and simultaneous motor imagery with spatial attention (MIOSA), with online visual cursor feedback. Recordings used 64 channels at 1000 Hz, and this release provides left-hand versus right-hand motor imagery trials.
…study, performed in the Advanced MRI section, LFMI, NINDS, National Institutes of…
Raw multimodal recordings of 18-channel EEG and functional near-infrared spectroscopy (fNIRS) from seven participants with orthopedic impairment performing motor imagery tasks. Each participant completed three sessions of 40 trials, with four motor imagery tasks (reach, twist, lift, grasp) presented in random order. The dataset supports research on multimodal brain-computer interfaces for people with motor impairments.
…T1w, T2w, and DWI) and functional MRI (fMRI) acquired during task performance…
M3CV is a multi-subject, multi-session, multi-task EEG database with 64-channel recordings from 95 healthy young adults. Each subject was recorded on two different days across six paradigms covering 13 distributed signal types: resting states, motor execution, transient visual, auditory and somatosensory responses, SSVEP, P300, SSAEP and SSSEP. The data were originally released for an EEG-based biometrics competition on Kaggle. This BIDS version reconstructs pseudo-continuous EEG from the distributed pre-epoched, preprocessed 250 Hz files.
…The MRI protocol used was initially based on the ADNI-3 basic…
…Zenodo https://doi.org/10.5281/zenodo.5675459 ("SEEG, MRI, CT for…
This dataset is a BIDS-formatted derivative of Study M from the bigP3BCI collection, a large open P300-based brain-computer interface resource. It contains 16-channel EEG recorded at 256 Hz from 21 participants using a 9x8 character speller grid with adaptive and checkerboard stimulus paradigms. Target and non-target events are annotated with HED tags, supporting machine-learning work on P300 speller classification.