ArticleHuman brain mapping2023
Estimating neural activity from visual areas using functionally defined EEG templates.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Neural representations of visual categories are dynamically tailored to the discrimination required by the task.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Pattern-pulses and pattern-reversals evoke different cascades of cortical sources in the multifocal visual evoked potential.Journal of vision · 2025Article
- Interocular suppression in chromoluminance patterns measured with SSVEP.Journal of vision · 2025Article
- Visual cortical area contributions to the transient, multifocal and steady-state VEP: A forward model-informed analysis.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Estimating neural activity from visual areas using functionally defined EEG templates.Human brain mapping · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Electroencephalography (EEG) is a common and inexpensive method to record neural activity in humans. However, it lacks spatial resolution making it difficult to determine which areas of the brain are responsible for the observed EEG response. Here we present a new easy-to-use method that relies on EEG topographical templates. Using MRI and fMRI scans of 50 participants, we simulated how the activity in each visual area appears on the scalp and averaged this signal to produce functionally defined EEG templates. Once created, these templates can be used to estimate how much each visual area contributes to the observed EEG activity. We tested this method on extensive simulations and on real data. The proposed procedure is as good as bespoke individual source localization methods, robust to a wide range of factors, and has several strengths. First, because it does not rely on individual brain scans, it is inexpensive and can be used on any EEG data set, past or present. Second, the results are readily interpretable in terms of functional brain regions and can be compared across neuroimaging techniques. Finally, this method is easy to understand, simple to use and expandable to other brain sources.
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Registered trials
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.