8-Channel SSVEP EEG Dataset with Artifact Trials
Imported from OpenNeuro ds004745
- Participants
- 6
- Channels
- 8 (other)
- Citations
- 27
- Size
- 242 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "intracranial electroencephalography" · page 5 of 10 · ranked by relevance
Imported from OpenNeuro ds004745
64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
…Each of the 58 subjects underwent intracranial EEG with subdural grid, strip…
This dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task during treadmill walking at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels), electrooculography (4 channels), and inertial measurement unit recordings (6 channels) sampled at 100 Hz. The dataset was collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions. This is a BIDS-formatted derivative dataset converted from the original data using the MOABB (Mother of All BCI Benchmarks) pipeline.
…Brain-computer interface, BCI, electroencephalography, EEG, hybrid BCI, mental arithmetic, motor imagery…
…Kochi et al., (2025), contains intracranial EEG recordings from 121 individuals who…
This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
Nejedly2020 multicenter iEEG graphoelement clips (FNUSA) This BIDS dataset is converted from…
This dataset comprises EEG recordings paired with vocal audio data collected during an overt speech production task, in which participants vocalized visually presented text. Sessions are organized by recording date, with multiple runs per day, supporting research on brain-to-speech decoding and neural correlates of speech production. The dataset is intended to facilitate development and evaluation of EEG-based speech brain-computer interface models.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004624-blue…