on004603
Visual Attribute-Specific Contextual Trajectory Paradigm
BEH EEG
…https://doi.org/10.1016/j.cortex.2023.08.004 Analysis code…
- Participants
- 37
- Channels
- 64 (10-10)
- Size
- 39.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
98 results for "Somatosensory Cortex" · page 7 of 10 · ranked by relevance
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- on003505
VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes
ANAT DWI EEGVEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks. The dataset includes raw data, preprocessed EEG single trials, individual brain parcellations at multiple spatial scales (83-1015 regions), structural connectomes derived from diffusion imaging, and EEG source imaging solutions. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.
- Participants
- 20
- Channels
- 128 (biosemi)
- Size
- 56.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003509
EEG: Simon Conflict in Parkinson's
EEG…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…
- Participants
- 56
- Channels
- 67 (10-10)
- Size
- 22.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003775
SRM Resting-state EEG
EEGThis dataset comprises resting-state electroencephalography (EEG) recordings from 111 healthy control subjects acquired using a BioSemi ActiveTwo system with 64 electrodes. Subjects were recorded during four minutes of continuous EEG with eyes closed, with some subjects undergoing repeat recordings at a later timepoint. The dataset includes both raw EEG data rereferenced to average reference and a derived cleaned dataset preprocessed with an automated pipeline, along with demographic and cognitive test data.
- Participants
- 111
- Channels
- 64 (10-10)
- Size
- 20.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003506
EEG: Reinforcement Learning in Parkinson's
EEG…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…
- Participants
- 56
- Channels
- 67 (10-10)
- Size
- 16.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset
EEGThis dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording 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 a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
- Participants
- 45
- Channels
- 58 (10-05)
- HED
- v8.4.0
- Size
- 2.08 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on004642
Intraoperative recordings of medianus stimulation with low and high impedance ECoG
iEEG[
EEGA BIDS-formatted derivative dataset of steady-state visually evoked potential (SSVEP) EEG recordings from 54 subjects across 2 sessions. This dataset comprises 21,600 trials of 4-second EEG recordings at 1000 Hz sampling frequency from 62 channels, organized for standardized brain-computer interface benchmarking. The data has been processed and converted to BIDS format using the Mother of All BCI Benchmarks (MOABB) framework, enabling reproducible analysis of SSVEP-based BCI paradigms with 4 stimulus classes.
- Participants
- 54
- Channels
- 62 (10-05)
- Size
- 16.9 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- on005523
Spatial Memory of Object Locations with Open-Loop Stimulation at Encoding
BEH iEEG…in the hippocampus and entorhinal cortex. Stimulation parameters are included in the…
- Participants
- 22
- Size
- 69.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002338
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP2
ANAT EEG FUNCThis dataset comprises simultaneous 64-channel EEG and 3T fMRI recordings from 16 subjects performing motor imagery and neurofeedback tasks. Participants were randomly assigned to receive either mono-dimensional or bi-dimensional neurofeedback displays during five experimental runs with alternating rest and task blocks. The dataset includes raw EEG data in Brain Vision format, preprocessed EEG data, BOLD fMRI acquisitions, computed neurofeedback scores from both modalities (EEG and fMRI), and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.
- Participants
- 17
- Size
- 25.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026