ArticlePLoS computational biology2018
Seizure pathways: A model-based investigation.
Article in PLoS computational biology, 2018. 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, 59 citations in OpenAlex.
- Prognosis prediction of patients with disorders of consciousness based on digital twin brain models.Journal of neuroengineering and rehabilitation · 2026Article
- Cortical connectivity, local dynamics and stability correlates of global conscious states.Communications biology · 2025Article
- A Nonlinear Method to Identify Seizure Dynamic Trajectory Based on Variance of Recurrence Rate in Human Epilepsy Patients Using EEG.Journal of medical signals and sensors · 2025Article
- Construction and Analysis of a New Resting-State Whole-Brain Network Model.Brain sciences · 2024Article
- Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse.Communications biology · 2023Article
- Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states.Brain communications · 2023Article
- In vitro ictogenesis is stochastic at the single neuron level.Brain : a journal of neurology · 2022Article
- Multiple mechanisms shape the relationship between pathway and duration of focal seizures.Brain communications · 2022Article
- Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography.PLoS computational biology · 2021Article
- Patient-Specific Network Connectivity Combined With a Next Generation Neural Mass Model to Test Clinical Hypothesis of Seizure Propagation.Frontiers in systems neuroscience · 2021Article
- Prediction of Seizure Recurrence. A Note of Caution.Frontiers in neurology · 2021Article
- Domino-like transient dynamics at seizure onset in epilepsy.PLoS computational biology · 2020Article
- Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Article
- Seizure tracking of epileptic EEGs using a model-driven approach.Journal of neural engineering · 2020Article
- Next-Generation Sequencing in Korean Children With Autism Spectrum Disorder and Comorbid Epilepsy.Frontiers in pharmacology · 2020Article
- Imaging epilepsy in larval zebrafish.European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society · 2020Review
- Spectral organization of focal seizures within the thalamotemporal network.Annals of clinical and translational neurology · 2019Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present the results of a model inversion algorithm for electrocorticography (ECoG) data recorded during epileptic seizures. The states and parameters of neural mass models were tracked during a total of over 3000 seizures from twelve patients with focal epilepsy. These models provide an estimate of the effective connectivity within intracortical circuits over the time course of seizures. Observing the dynamics of effective connectivity provides insight into mechanisms of seizures. Estimation of patients seizure dynamics revealed: 1) a highly stereotyped pattern of evolution for each patient, 2) distinct sub-groups of onset mechanisms amongst patients, and 3) different offset mechanisms for long and short seizures. Stereotypical dynamics suggest that, once initiated, seizures follow a deterministic path through the parameter space of a neural model. Furthermore, distinct sub-populations of patients were identified based on characteristic motifs in the dynamics at seizure onset. There were also distinct patterns between long and short duration seizures that were related to seizure offset. Understanding how these different patterns of seizure evolution arise may provide new insights into brain function and guide treatment for epilepsy, since specific therapies may have preferential effects on the various parameters that could potentially be individualized. Methods that unite computational models with data provide a powerful means to generate testable hypotheses for further experimental research. This work provides a demonstration that the hidden connectivity parameters of a neural mass model can be dynamically inferred from data. Our results underscore the power of theoretical models to inform epilepsy management. It is our hope that this work guides further efforts to apply computational models to clinical data.
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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.