…Zenodo https://doi.org/10.5281/zenodo.5675459 ("SEEG, MRI, CT for…
…stimulus 11. - MRI data are not subject-specific anatomical scans; they are…
…tracking time series; no anatomical scans (MRI, CT, photographs, or otherwise) are…
EEG recordings from fifteen healthy participants who executed and imagined six sustained upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) plus a rest condition, in two separate sessions. The dataset supports decoding of single upper limb movements from the time-domain of low-frequency EEG. It is relevant to non-invasive control of motor neuroprostheses and robotic arms. This BIDS version was generated from the original BNCI Horizon 2020 data using MOABB.
…The release's per-contact anatomical labels for the depth electrodes (`d419f2…
A cross-session motor imagery EEG dataset from 14 healthy participants who performed cued left- versus right-hand motor imagery on two separate days. Data were recorded with 28 EEG channels at 250 Hz and comprise 60 trials per class per session. The dataset supports research on brain-computer interface decoding and cross-session variability, and it is distributed here in BIDS format with HED event annotations.
…That covers the pre-implant MRI, the post-implant MRI, the CT…
…Postoperative T1 MRI scans were compared against post-SEEG implantation CT scans…
This dataset contains 62-channel EEG recordings from 18 healthy, right-handed participants performing motor imagery of eight multi-joint movements of the unilateral upper limb. The movements involve the hand, wrist, elbow and shoulder. Each participant completed 320 cue-based trials across 8 blocks, with 40 trials per class. The data support research on brain-computer interfaces for motor rehabilitation.
…microwire, macro contact, anatomical label, MNI coordinates, spike count | | `_spikes.tsv` | one…