Related Experiment Video
Updated: Jan 22, 2026
09:36
Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
Published on: May 12, 2014
14.2K
High-resolution EEG dataset during resting and localized visual stimulation in the lower-left visual field
Takayuki Onojima1,2,3, Keiichi Kitajo1,4,5
1Rhythm-based Brain Information Processing Unit, CBS-TOYOTA Collaboration Center, RIKEN Center for Brain Science, Japan.
Data in Brief
|January 21, 2026
Summary
High-temporal-resolution electroencephalography (EEG) data from healthy adults viewing visual stimuli are available. This dataset enables research into visual processing, event-related potentials, and brain activity lateralization.
Area of Science:
- Neuroscience
- Cognitive Science
- Biomedical Engineering
Background:
- Electroencephalography (EEG) is crucial for studying brain activity.
- Understanding visual processing requires high-temporal-resolution data.
- Standardized data formats like BIDS improve data sharing and reproducibility.
Purpose of the Study:
- To provide a high-temporal-resolution EEG dataset from healthy adults.
- To facilitate research on visual evoked potentials and brain lateralization.
- To offer reproducible analysis pipelines for EEG data.
Main Methods:
- Collected 10,000 Hz EEG data from 8 healthy adults.
- Utilized a 64-channel actiCAP slim system and Bittium NeurOne Tesla amplifiers.
- Recorded data during eyes-open rest and localized visual stimulation (checkerboard pattern).
Main Results:
- Dataset organized according to Brain Imaging Data Structure (BIDS v1.9.0).
- Includes raw BrainVision files with comprehensive metadata.
- Provides behavioral responses and event annotations for different contrast levels.
Conclusions:
- The dataset supports detailed analysis of early visual evoked potentials.
- Enables investigation of oscillatory phase alignment and hemispheric lateralization.
- MNE-Python scripts facilitate reproducible event-related potentials and time-frequency analyses.
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