…The study was conducted at the Combinatorial NeuroImaging (CNI) core facility of…
Beetl2021-B is a preprocessed 32-channel EEG dataset from the NeurIPS 2021 BEETL competition, built to benchmark transfer learning for motor imagery decoding. It contains recordings from 2 healthy subjects performing four-class motor imagery (left hand, right hand, feet, rest) at 200 Hz, totaling 1590 trials. The dataset supports evaluation of cross-subject and cross-dataset generalization and domain adaptation in brain-computer interfaces.
…atlas labels to patient clinical neuroimaging using the Localizing Electrodes GUI and…
EEG recordings from 10 persons with cervical spinal cord injury performing attempted arm and hand movements: hand open, palmar grasp, lateral grasp, pronation and supination. Sixty-one EEG channels and 3 EOG channels were recorded across 9 runs per participant. Low-frequency time-domain EEG (movement-related cortical potentials) was used to decode the five movement classes offline, and an online proof-of-concept for self-paced movement detection was also run. The dataset supports research on neuroprosthetic and upper-limb control brain-computer interfaces.
…health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et…
EEG recordings from 12 healthy, BCI-naive participants performing two-class motor imagery (sustained right-hand palmar grip versus both-feet plantar extension) across two sessions, with 200 trials per session. Data were recorded from 13 sensorimotor channels at 512 Hz with visual cursor feedback, in support of an autocalibrating, recurrently adapting online ERD-based brain-computer interface. The dataset is distributed in BIDS format via MOABB.
…health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et…
Preprocessed 64-channel EEG recordings from 6 healthy participants performing imagined speech of three short words (out, in, up), cued by auditory and visual stimuli. The dataset contains 1800 trials of a single session, analyzed in the source study with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. It is re-hosted in BIDS format from the MOABB benchmark collection.
…health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et…
Simultaneous EEG and fMRI recordings from healthy volunteers who reported their confidence in the accuracy of decisions they either committed themselves or merely observed. The dataset supports analysis of postdecisional contributions to metacognition and includes raw fMRI, BrainVision EEG, T1 anatomical scans and field maps, along with preprocessed EEG and fMRI derivatives.