Human electroencephalography recordings from 50 subjects for 22,248 images from 1,854 object concepts
Imported from OpenNeuro ds003825
- Participants
- 50
- Channels
- 63
- Citations
- 1
- Size
- 59.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
91 results for "stereo-encephalography" · page 8 of 10 · ranked by relevance
Imported from OpenNeuro ds003825
This EEG dataset comprises recordings from 9 individuals with CNS tissue damage (stroke and spinal cord injury) performing five mental imagery tasks: word association, mental subtraction, spatial navigation, and motor imagery of the right hand and feet. Data were collected across two sessions using 30-channel EEG at 256 Hz with visual cue-guided paradigm. The dataset includes preprocessed signals with artifact rejection and is intended for brain-computer interface research and motor imagery classification studies.
This dataset comprises raw EEG recordings collected to investigate the temporal dynamics underlying object space dimensions in human perception. Participants completed a rapid image presentation task while EEG data were recorded, enabling analysis of the time course of object representation. The dataset includes behavioral event data alongside BIDS-formatted EEG recordings, supporting research into visual object processing and neural representational geometry.
Imported from OpenNeuro ds003801
This dataset comprises EEG recordings collected using a Visual Attribute-Specific Contextual Trajectory Paradigm, designed to investigate visual attention and perceptual processing of moving stimuli. It provides raw electrophysiological data intended to support research into contextual and attribute-specific visual trajectory processing in humans.
This dataset contains EEG recordings from elderly patients with dementia undergoing 40Hz auditory gamma-band entrainment sessions. The study investigates whether auditory stimulation modulated at 40Hz can entrain brain oscillations and enhance functional connectivity, particularly within the default mode network, as a potential intervention for Alzheimer's disease symptoms. Both short and long entrainment sessions were conducted to accommodate participant tolerance, with EEG data collected using a 19-channel 10/20 system setup.
This dataset comprises intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task conducted across multiple clinical sites. Participants encoded object locations during guided navigation learning phases and subsequently recalled these locations during self-navigation test phases. The dataset includes 50 trials per session with counterbalanced trial blocking and provides both monopolar and bipolar iEEG recordings with anatomical coordinates.
MIPDB is a multimodal neuroimaging resource comprising high-density EEG (128-channel, 500 Hz) and eye-tracking data collected from 111 participants spanning childhood to adulthood. Participants completed a standardized battery of cognitive and perceptual tasks including resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning, and symbol search. This dataset enables investigation of information-processing maturation across human development.
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 66-channel recordings (64 EEG + 1 EOG + 1 stim) at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.
This dataset investigates the neural representation of consciously seen and unseen information, likely using EEG recordings to examine visual consciousness and perception. It is designed to support research into the neural correlates of conscious versus unconscious processing of visual stimuli.