ArticleNature communications2022
Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 38 citations in OpenAlex.
- Bridging computational and clinical strategies for presurgical identification of epileptogenic networks.Epilepsia open · 2026Article
- Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A geometry aware framework enhances noninvasive mapping of whole human brain dynamics.Nature biomedical engineering · 2026Article
- Spatial Filters-In Search of the Virtual Electrode.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- High-resolution Bayesian Virtual Epileptic Patient using neural field models.Network neuroscience (Cambridge, Mass.) · 2026Article
- Deep Learning Method Based on Multivariate Variational Mode Decomposition for Classification of Epileptic Signals.Brain sciences · 2025Article
- The Role of Neuroinflammation and Network Anomalies in Drug-Resistant Epilepsy.Neuroscience bulletin · 2025Review
- Coherence-based channel selection and Riemannian geometry features for magnetoencephalography decoding.Cognitive neurodynamics · 2024Article
- Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers.PLoS computational biology · 2024Article
- Mapping of the central sulcus using non-invasive ultra-high-density brain recordings.Scientific reports · 2024Article
- Combining OPM and lesion mapping data for epilepsy surgery planning: a simulation study.Scientific reports · 2024Article
- Cognition of Time and Thinking Beyond.Advances in experimental medicine and biology · 2024Review
- Functional connectivity discriminates epileptogenic states and predicts surgical outcome in children with drug resistant epilepsy.Scientific reports · 2023Article
- Non-invasive mapping of epileptogenic networks predicts surgical outcome.Brain : a journal of neurology · 2023Article
- Graph-generative neural network for EEG-based epileptic seizure detection via discovery of dynamic brain functional connectivity.Scientific reports · 2022Article
- A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States.Sensors (Basel, Switzerland) · 2022Review
- Virtual implantation using conventional scalp EEG delineates seizure onset and predicts surgical outcome in children with epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022Article
- E2SGAN: EEG-to-SEEG translation with generative adversarial networks.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
Abstract
Modelling the interactions that arise from neural dynamics in seizure genesis is challenging but important in the effort to improve the success of epilepsy surgery. Dynamical network models developed from physiological evidence offer insights into rapidly evolving brain networks in the epileptic seizure. A limitation of previous studies in this field is the dependence on invasive cortical recordings with constrained spatial sampling of brain regions that might be involved in seizure dynamics. Here, we propose virtual intracranial electroencephalography (ViEEG), which combines non-invasive ictal magnetoencephalographic imaging (MEG), dynamical network models and a virtual resection technique. In this proof-of-concept study, we show that ViEEG signals reconstructed from MEG alone preserve critical temporospatial characteristics for dynamical approaches to identify brain areas involved in seizure generation. We show the non-invasive ViEEG approach may have some advantage over intracranial electroencephalography (iEEG). Future work may be designed to test the potential of the virtual iEEG approach for use in surgical management of epilepsy.
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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.