ArticleNature communications2020
Noninvasive electromagnetic source imaging of spatiotemporally distributed epileptogenic brain sources.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Complementary predictive value of electromagnetic source imaging and hemodynamic responses in epilepsy surgery: A quantitative spatial analysis.Epilepsia · 2026Article
- Improved Somatotopic Consistency of EEG Source Localization Using a Personalized Segmentation-Free Head Model.Brain topography · 2026Article
- Fully Automated EEG Source Imaging Using Structured Sparsity for Single and Multiple Synchronous Epileptic Activities.Brain topography · 2026Article
- Shape and amplitude decoupling in pulsatile physiological signal synthesis and its evaluation.Nature communications · 2026Article
- A geometry aware framework enhances noninvasive mapping of whole human brain dynamics.Nature biomedical engineering · 2026Article
- High-resolution Bayesian Virtual Epileptic Patient using neural field models.Network neuroscience (Cambridge, Mass.) · 2026Article
- Mapping epileptogenic brain using a unified spatial-temporal-spectral source imaging framework.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Stable individualized brain computing model informed by spatiotemporal co-activity patterns.PLoS computational biology · 2025Article
- Performance of blind source separation in localizing seizure onset from routine scalp-EEG.Journal of neurology · 2025Article
- Article
- Deep learning-based EEG source imaging is robust under varying electrode configurations.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025Article
- Neuronavigation-Guided Transcranial Acoustoelectric Brain Imaging: A New Modality for High Resolution Electrical Brain Mapping.IEEE transactions on bio-medical engineering · 2025Article
- Flexible Alternating Projection for Spatially Extended Brain Source Localization.IEEE transactions on bio-medical engineering · 2025Article
- Stereo-EEG propagating source reconstruction identifies new surgical targets for epilepsy patients.Brain : a journal of neurology · 2025Article
- Robust interpolation of EEG/MEG sensor time-series via electromagnetic source imaging.Journal of neural engineering · 2025Article
- Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025Review
- Electroencephalographic source imaging of spikes with concurrent high-frequency oscillations is concordant with the clinical ground truth.Epilepsia · 2024Article
- Seizure Sources Can Be Imaged from Scalp EEG by Means of Biophysically Constrained Deep Neural Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Cortex level connectivity between ACT-R modules during EEG-based n-back task.Cognitive neurodynamics · 2024Article
- M/EEG source localization for both subcortical and cortical sources using a convolutional neural network with a realistic head conductivity model.APL bioengineering · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Brain networks are spatiotemporal phenomena that dynamically vary over time. Functional imaging approaches strive to noninvasively estimate these underlying processes. Here, we propose a novel source imaging approach that uses high-density EEG recordings to map brain networks. This approach objectively addresses the long-standing limitations of conventional source imaging techniques, namely, difficulty in objectively estimating the spatial extent, as well as the temporal evolution of underlying brain sources. We validate our approach by directly comparing source imaging results with the intracranial EEG (iEEG) findings and surgical resection outcomes in a cohort of 36 patients with focal epilepsy. To this end, we analyzed a total of 1,027 spikes and 86 seizures. We demonstrate the capability of our approach in imaging both the location and spatial extent of brain networks from noninvasive electrophysiological measurements, specifically for ictal and interictal brain networks. Our approach is a powerful tool for noninvasively investigating large-scale dynamic brain networks.
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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.