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…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
- Participants
- 16
- Channels
- 64 (10-10)
- Citations
- 4
- Size
- 10.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "EEG-BIDS" · page 10 of 10 · ranked by relevance
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
Imported from OpenNeuro ds004849
…https://eeglab.org/tutorials/11_Scripting/Analyzing_EEG_BIDS_data_in_EEGLAB…
This dataset comprises EEG recordings from 15 healthy participants performing reach-and-grasp motor imagery tasks using three different electrode systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with 7200 total trials. Participants executed palmar grasp (toward glass) and lateral grasp (toward spoon) actions. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
This dataset comprises intracranial EEG (iEEG) recordings from 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing 41 instances of high-frequency cortical stimulation that evoked negative motor responses. Each recording includes pre- and post-stimulation epochs used for connectivity analysis, along with detailed stimulation parameters. The dataset supports research into the cortical networks underlying negative motor phenomena elicited by direct electrical stimulation.
…This NEMAR record redistributes the dataset in BIDS format; EEG-BIDS and…
Imported from OpenNeuro ds003801
…EDF files are included as the raw EEG recordings for this BIDS…
This dataset contains neuroimaging recordings from 29 participants investigating human brain responses to nociceptive stimulation. The study examines neural activity patterns during concomitant stimulation of Aδ and C nociceptors, contributing to understanding of pain processing mechanisms in the human brain.
This dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults performing a sustained attention task (GradCPT) and a resting-state task with intermittent multi-dimensional experience sampling, collected across two sessions per participant. It includes behavioral responses, experience sampling ratings across 13 dimensions of thought, and mental health survey data, enabling study of the neural correlates of attentional fluctuations, mind-wandering, and the reliability of EEG-fMRI relationships across sessions.