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

TL;DR

This paper introduces a high-resolution EEG dataset capturing brain activity during rest and visual stimulation in the lower-left visual field.

Contribution

The novelty lies in providing a high-temporal-resolution EEG dataset with detailed annotations and preprocessing tools for localized visual stimulation studies.

Findings

EEG data is collected at 10,000 Hz with detailed metadata and behavioral responses.

The dataset supports analysis of early visual evoked potentials and hemispheric lateralization.

Example scripts in MNE-Python enable reproducible ERP and time–frequency analyses.

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.

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