Visual Attribute-Specific Contextual Trajectory Paradigm
…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
95 results for "somatosensory cortex" · page 7 of 10 · ranked by relevance
…https://doi.org/10.1016/j.cortex.2023.08.004 Analysis code…
This 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.
…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…
This dataset comprises 382 electroencephalographic recordings from 19 participants performing a P300 visual oddball paradigm with systematically varied stimulus properties. Participants completed three experimental sessions, each containing seven recordings with different numbers of visual stimuli (4-9) and flash types (standard flash or cartoon face overlay). EEG data were acquired from eight scalp electrodes at 256 Hz sampling rate, with detailed event markers encoding experimental phases and stimulus presentations.
…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…
A 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.
[, and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.
…in the hippocampus and entorhinal cortex. Stimulation parameters are included in the…
HAD-MEEG is a multimodal neuroimaging dataset combining magnetoencephalography (MEG) and electroencephalography (EEG) recordings from 30 participants viewing 21,600 video clips across 180 human action categories. Designed to complement the previously released HAD-fMRI dataset, this resource leverages the millisecond-level temporal resolution of M/EEG to capture rapid neural dynamics underlying action recognition and social cognition, enabling integrated spatiotemporal analysis of brain responses to visual action stimuli.