High-resolution EEG dataset during resting and localized visual stimulation in the lower-left visual field

This dataset provides high-temporal-resolution electroencephalography (EEG) recordings collected from eight healthy adults during two conditions: (1) eyes-open resting state and (2) localized visual stimulation using a static, sector-shaped checkerboard presented in the lower-left visual field. EEG was recorded at 10,000 Hz in DC mode using a 64-channel actiCAP slim system (BrainProducts GmbH) and Bittium NeurOne Tesla amplifiers. All recordings are organized according to the Brain Imaging Data Structure (BIDS v1.9.0) and distributed as raw BrainVision files with complete metadata. The dataset includes behavioral responses for target-dot detection and detailed event annotations for each contrast level. Example preprocessing and analysis scripts are provided in MNE-Python to facilitate reproducible event-related potentials (ERPs) and time-frequency analyses. These high-sampling EEG recordings allow investigation of early visual evoked potentials, oscillatory phase alignment, and hemispheric lateralization under localized visual stimulation.

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Publication Details

Journal
Data in Brief
Published
2025-12-17
DOI
https://doi.org/10.1016/j.dib.2025.112400
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

High-resolution EEG dataset during resting and localized visual stimulation in the lower-left visual field

Data in Brief
EEG and Brain-Computer Interfaces
article

High-resolution EEG dataset during resting and localized visual stimulation in the lower-left visual field

article en

Abstract

This dataset provides high-temporal-resolution electroencephalography (EEG) recordings collected from eight healthy adults during two conditions: (1) eyes-open resting state and (2) localized visual stimulation using a static, sector-shaped checkerboard presented in the lower-left visual field. EEG was recorded at 10,000 Hz in DC mode using a 64-channel actiCAP slim system (BrainProducts GmbH) and Bittium NeurOne Tesla amplifiers. All recordings are organized according to the Brain Imaging Data Structure (BIDS v1.9.0) and distributed as raw BrainVision files with complete metadata. The dataset includes behavioral responses for target-dot detection and detailed event annotations for each contrast level. Example preprocessing and analysis scripts are provided in MNE-Python to facilitate reproducible event-related potentials (ERPs) and time-frequency analyses. These high-sampling EEG recordings allow investigation of early visual evoked potentials, oscillatory phase alignment, and hemispheric lateralization under localized visual stimulation.

Data in BriefVol. 64
Shiga University (JP), National Institutes of Natural Sciences (JP), The Graduate University for Advanced Studies, SOKENDAI (JP), RIKEN Center for Brain Science (JP), The Institute of Statistical Mathematics (JP)
Openalex Percentile: Top 35%
EEG and Brain-Computer Interfaces
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