ArticleScientific data2022
Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- A geometry aware framework enhances noninvasive mapping of whole human brain dynamics.Nature biomedical engineering · 2026Article
- Increasing EEG electrode density improves decoding of visual categories and source localization: an exploratory ultra-high-density EEG study.Communications engineering · 2026Article
- Anticipatory and reactive mechanisms of habituation to visual distractors.Scientific reports · 2025Article
- Structure-function coupling and decoupling during movie watching and resting state: Novel insights bridging EEG and structural imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Cross-Modal Plasticity in Postlingual Hearing Loss Predicts Speech Perception Outcomes After Cochlear Implantation.Journal of clinical medicine · 2024Article
- Connectome spectrum electromagnetic tomography: A method to reconstruct electrical brain source networks at high-spatial resolution.Human brain mapping · 2024Article
- Investigating the effect of template head models on Event-Related Potential source localization: a simulation and real-data study.Frontiers in neuroscience · 2024Article
- Structure supports function: Informing directed and dynamic functional connectivity with anatomical priors.Network neuroscience (Cambridge, Mass.) · 2022Article
- Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes.Scientific data · 2022Article
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Authors and funding
6 authors.
Funding
Abstract
We describe the multimodal neuroimaging dataset VEPCON (OpenNeuro Dataset ds003505). It includes raw data and derivatives of high-density EEG, structural MRI, diffusion weighted images (DWI) and single-trial behavior (accuracy, reaction time). Visual evoked potentials (VEPs) were recorded while participants (n = 20) discriminated briefly presented faces from scrambled faces, or coherently moving stimuli from incoherent ones. EEG and MRI were recorded separately from the same participants. The dataset contains raw EEG and behavioral data, pre-processed EEG of single trials in each condition, structural MRIs, individual brain parcellations at 5 spatial resolutions (83 to 1015 regions), and the corresponding structural connectomes computed from fiber count, fiber density, average fractional anisotropy and mean diffusivity maps. For source imaging, VEPCON provides EEG inverse solutions based on individual anatomy, with Python and Matlab scripts to derive activity time-series in each brain region, for each parcellation level. The BIDS-compatible dataset can contribute to multimodal methods development, studying structure-function relations, and to unimodal optimization of source imaging and graph analyses, among many other possibilities.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.