ArticlePLoS computational biology2019
Optimization of surgical intervention outside the epileptogenic zone in the Virtual Epileptic Patient (VEP).
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Bridging computational and clinical strategies for presurgical identification of epileptogenic networks.Epilepsia open · 2026Article
- White matter signals reflect information transmission between brain regions during seizures.Brain : a journal of neurology · 2026Article
- Controllability of nonlinear epileptic-seizure spreading dynamics in large-scale subject-specific brain networks.Scientific reports · 2025Article
- Seizure network characterization by functional connectivity mapping and manipulation.Neurophotonics · 2025Article
- Article
- Virtual resection evaluation based on sEEG propagation network for drug-resistant epilepsy.Scientific reports · 2024Article
- A spatial perturbation framework to validate implantation of the epileptogenic zone.Nature communications · 2024Article
- Bifurcations and bursting in the Epileptor.PLoS computational biology · 2024Article
- Predicting radiofrequency thermocoagulation surgical outcomes in refractory focal epilepsy patients using functional coupled neural mass model.Frontiers in neurology · 2024Article
- An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control.Frontiers in computational neuroscience · 2024Article
- Individualized epidemic spreading models predict epilepsy surgery outcomes: A pseudo-prospective study.Network neuroscience (Cambridge, Mass.) · 2024Article
- Deep learning based source imaging provides strong sublobar localization of epileptogenic zone from MEG interictal spikes.NeuroImage · 2023Article
- The role of quantitative markers in surgical prognostication after stereoelectroencephalography.Annals of clinical and translational neurology · 2023Article
- Linear feedback control of spreading dynamics in stochastic nonlinear network models: epileptic seizures.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2023Article
- Criticality in probabilistic models of spreading dynamics in brain networks: Epileptic seizures.PLoS computational biology · 2023Article
- The role of epidemic spreading in seizure dynamics and epilepsy surgery.Network neuroscience (Cambridge, Mass.) · 2023Article
- Structural networking of the developing brain: from maturation to neurosurgical implications.Frontiers in neuroanatomy · 2023Review
- An individual data-driven virtual resection model based on epileptic network dynamics in children with intractable epilepsy: a magnetoencephalography interictal activity application.Brain communications · 2023Article
- Interictal Functional Connectivity in Focal Refractory Epilepsies Investigated by Intracranial EEG.Brain connectivity · 2022Review
- Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies to improve the efficacy of epilepsy surgery have focused on better refining the localization of the epileptogenic zone (EZ) with the aim of effectively resecting it. However, in a considerable number of patients, EZs are distributed across multiple brain regions and may involve eloquent areas that cannot be removed due to the risk of neurological complications. There is a clear need for developing alternative approaches to induce seizure relief, but minimal impact on normal brain functions. Here, we develop a personalized in-silico network approach, that suggests effective and safe surgical interventions for each patient. Based on the clinically identified EZ, we employ modularity analysis to identify target brain regions and fiber tracts involved in seizure propagation. We then construct and simulate a patient-specific brain network model comprising phenomenological neural mass models at the nodes, and patient-specific structural brain connectivity using the neuroinformatics platform The Virtual Brain (TVB), in order to evaluate effectiveness and safety of the target zones (TZs). In particular, we assess safety via electrical stimulation for pre- and post-surgical condition to quantify the impact on the signal transmission properties of the network. We demonstrate the existence of a large repertoire of efficient surgical interventions resulting in reduction of degree of seizure spread, but only a small subset of them proves safe. The identification of novel surgical interventions through modularity analysis and brain network simulations may provide exciting solutions to the treatment of inoperable epilepsies.
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