ArticleCommunications biology2021
Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Artificial intelligence as a surrogate brain: bridging neural dynamical models and data.National science review · 2026Review
- High-resolution Bayesian Virtual Epileptic Patient using neural field models.Network neuroscience (Cambridge, Mass.) · 2026Article
- The virtual multiple sclerosis patient.iScience · 2024Article
- Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers.PLoS computational biology · 2024Article
- Virtual brain twins: from basic neuroscience to clinical use.National science review · 2024Review
- Bifurcations and bursting in the Epileptor.PLoS computational biology · 2024Article
- Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference.PLoS computational biology · 2024Article
- Individualized epidemic spreading models predict epilepsy surgery outcomes: A pseudo-prospective study.Network neuroscience (Cambridge, Mass.) · 2024Article
- Brain sodium MRI-derived priors support the estimation of epileptogenic zones using personalized model-based methods in epilepsy.Network neuroscience (Cambridge, Mass.) · 2024Article
- Effects of the spatial resolution of the Virtual Epileptic Patient on the identification of epileptogenic networks.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Mechanisms underlying pathological cortical bursts during metabolic depletion.Nature communications · 2023Article
- Non-invasive measurements of ictal and interictal epileptiform activity using optically pumped magnetometers.Scientific reports · 2023Article
- The role of epidemic spreading in seizure dynamics and epilepsy surgery.Network neuroscience (Cambridge, Mass.) · 2023Article
- Virtual epileptic patient brain modeling: Relationships with seizure onset and surgical outcome.Epilepsia · 2022Article
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Authors and funding
6 authors.
Funding
Abstract
Focal drug resistant epilepsy is a neurological disorder characterized by seizures caused by abnormal activity originating in one or more regions together called as epileptogenic zone. Treatment for such patients involves surgical resection of affected regions. Epileptogenic zone is typically identified using stereotactic EEG recordings from the electrodes implanted into the patient's brain. Identifying the epileptogenic zone is a challenging problem due to the spatial sparsity of electrode implantation. We propose a probabilistic hierarchical model of seizure propagation patterns, based on a phenomenological model of seizure dynamics called Epileptor. Using Bayesian inference, the Epileptor model is optimized to build patient specific virtual models that best fit to the log power of intracranial recordings. First, accuracy of the model predictions and identifiability of the model are investigated using synthetic data. Then, model predictions are evaluated against a retrospective patient cohort of 25 patients with varying surgical outcomes. In the patients who are seizure free after surgery, model predictions showed good match with the clinical hypothesis. In patients where surgery failed to achieve seizure freedom model predictions showed a strong mismatch. Our results demonstrate that proposed probabilistic model could be a valuable tool to aid the clinicians in identifying the seizure focus.
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