Stolk et al. 2018 FieldTrip iEEG protocol dataset (SubjectUCI29): authors' preprocessed ECoG+SEEG epochs
…grids LPG (64 contacts, 8 x 8, left parietal) and LTG (32…
- Participants
- 1
- Size
- 295 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
…grids LPG (64 contacts, 8 x 8, left parietal) and LTG (32…
A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.
…targeted to the dorsolateral prefrontal cortex (dlPFC) in two alternative montages: * **Right…
[ recordings from 50 healthy native French-speaking adults reading the French text of Le Petit Prince using a rapid serial visual presentation paradigm. The text was split into nine runs of about 8 minutes each. The dataset includes T1-weighted anatomical MRI, FreeSurfer reconstructions, and preprocessed MEG derivatives. It is intended for studying the neural basis of naturalistic reading and language comprehension.
[ with simultaneous 64-channel EEG and fMRI recorded while 10 participants performed right-hand kinaesthetic motor imagery with neurofeedback. Each participant completed motor localizer, pre- and post-training motor imagery runs, and three neurofeedback runs (EEG-only, fMRI-only, and bimodal EEG-fMRI). The release includes raw and preprocessed EEG, BOLD fMRI, anatomical data, and EEG and BOLD neurofeedback scores to support multi-modal data integration.
…The study investigates how tDUS influences the visual cortex's response to…