ArticleEpilepsia2022
Virtual epileptic patient brain modeling: Relationships with seizure onset and surgical outcome.
Article in Epilepsia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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41 citing papers in PubMed, 72 citations in OpenAlex.
- How to Recognize and Manage Missing Key Electrodes in Defining the Epileptogenic Zone.Epilepsy currents · 2026Article
- Validating medical digital twins for clinical decision support: beyond predictive accuracy.JAMIA open · 2026Review
- Bridging computational and clinical strategies for presurgical identification of epileptogenic networks.Epilepsia open · 2026Article
- Digital Twins as the Implementation Layer of Precision Medicine in Pediatric Neurosurgery.Journal of Korean Neurosurgical Society · 2026Review
- 3D printed pediatric head phantom for assessing deep epileptic sources localization.Computers in biology and medicine · 2026Article
- Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.Nature reviews. Neurology · 2026Review
- From the brain cell atlas to precision neurology: a review of the application of AI-driven multi-omics in brain science.GigaScience · 2026Review
- Multimodal artificial intelligence in epilepsy: antiseizure medication response, epileptogenic zone localization, and surgical outcome prediction.Frontiers in neurology · 2026Review
- Multi-scale digital twins for personalized medicine.Frontiers in digital health · 2026Review
- TVB C++: A Fast and Flexible Back-End for The Virtual Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025Review
- Seminars in epileptology: Presurgical epilepsy evaluation.Epileptic disorders : international epilepsy journal with videotape · 2025Review
- Dynamic excitation/inhibition balance preceding seizure onset and its link to functional and structural brain architecture.BMC medicine · 2025Article
- Virtual brain twins for stimulation in epilepsy.Nature computational science · 2025Article
- Stereoelectroencephalographic exploration and surgical outcome in Lennox-Gastaut syndrome.Epilepsia · 2025Article
- Virtual epilepsy patient cohort: Generation and evaluation.PLoS computational biology · 2025Article
- Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint.JMIR medical informatics · 2025Article
- Epileptogenic zone characteristics determine effectiveness of electrical transcranial stimulation in epilepsy treatment.Brain communications · 2025Article
- Seizure network characterization by functional connectivity mapping and manipulation.Neurophotonics · 2025Article
- Intracranial Voltage Profiles from Untangled Human Deep Sources Reveal Multisource Composition and Source Allocation Bias.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe virtual epileptic patient (VEP) is a large-scale brain modeling method based on virtual brain technology, using stereoelectroencephalography (SEEG), anatomical data (magnetic resonance imaging [MRI] and connectivity), and a computational neuronal model to provide computer simulations of a patient's seizures. VEP has potential interest in the presurgical evaluation of drug-resistant epilepsy by identifying regions most likely to generate seizures. We aimed to assess the performance of the VEP approach in estimating the epileptogenic zone and in predicting surgical outcome.
methodsVEP modeling was retrospectively applied in a cohort of 53 patients with pharmacoresistant epilepsy and available SEEG, T1-weighted MRI, and diffusion-weighted MRI. Precision recall was used to compare the regions identified as epileptogenic by VEP (EZ
resultsVEP showed a precision of 64% and a recall of 44% for EZ SIGNIFICANCE: VEP is the first computational model that estimates the extent and organization of the epileptogenic zone network. It is characterized by good precision in detecting epileptogenic regions as defined by a combination of visual analysis and EI. The potential impact of VEP on improving surgical prognosis remains to be exploited. Analysis of factors limiting the performance of the actual model is crucial for its further development.
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