ArticleFrontiers in neurology2019
Quantification and Selection of Ictogenic Zones in Epilepsy Surgery.
Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Graph Theory-Based Electroencephalographic Connectivity and Its Association with Ketogenic Diet Effectiveness in Epileptic Children.Nutrients · 2021Trial
- Seizure recruitment properties are dependent upon dynamotype: A modeling study.PLoS computational biology · 2026Article
- Bifurcations and bursting in the Epileptor.PLoS computational biology · 2024Article
- Individualized epidemic spreading models predict epilepsy surgery outcomes: A pseudo-prospective study.Network neuroscience (Cambridge, Mass.) · 2024Article
- Computational modeling allows unsupervised classification of epileptic brain states across species.Scientific reports · 2023Article
- The role of additive and diffusive coupling on the dynamics of neural populations.Scientific reports · 2023Article
- Global nonlinear approach for mapping parameters of neural mass models.PLoS computational biology · 2023Article
- The role of epidemic spreading in seizure dynamics and epilepsy surgery.Network neuroscience (Cambridge, Mass.) · 2023Article
- Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence.Biomedicines · 2022Article
- Resting-State EEG Functional Connectivity in Children with Rolandic Spikes with or without Clinical Seizures.Biomedicines · 2022Article
- Predictive value of metabolic and perfusion changes outside the seizure onset zone for postoperative outcome in patients with refractory focal epilepsy.Acta neurologica Belgica · 2022Article
- Epidemic models characterize seizure propagation and the effects of epilepsy surgery in individualized brain networks based on MEG and invasive EEG recordings.Scientific reports · 2022Article
- Heterogeneity of resting-state EEG features in juvenile myoclonic epilepsy and controls.Brain communications · 2022Article
- Optimization of epilepsy surgery through virtual resections on individual structural brain networks.Scientific reports · 2021Article
- A large-scale brain network mechanism for increased seizure propensity in Alzheimer's disease.PLoS computational biology · 2021Article
- A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021Article
- Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography.PLoS computational biology · 2021Article
- More Than Spikes: On the Added Value of Non-linear Intracranial EEG Analysis for Surgery Planning in Temporal Lobe Epilepsy.Frontiers in neurology · 2021Article
- Controversies on the network theory of epilepsy: Debates held during the ICTALS 2019 conference.Seizure · 2020Review
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Authors and funding
10 authors.
Funding
Abstract
Network models of brain dynamics provide valuable insight into the healthy functioning of the brain and how this breaks down in disease. A pertinent example is the use of network models to understand seizure generation (ictogenesis) in epilepsy. Recently, computational models have emerged to aid our understanding of seizures and to predict the outcome of surgical perturbations to brain networks. Such approaches provide the opportunity to quantify the effect of removing regions of tissue from brain networks and thereby search for the optimal resection strategy. Here, we use computational models to elucidate how sets of nodes contribute to the ictogenicity of networks. In small networks we fully elucidate the ictogenicity of all possible sets of nodes and demonstrate that the distribution of ictogenicity across sets depends on network topology. However, the full elucidation is a combinatorial problem that becomes intractable for large networks. Therefore, we combine computational models with a genetic algorithm to search for minimal sets of nodes that contribute significantly to ictogenesis. We demonstrate the potential applicability of these methods in practice by identifying optimal sets of nodes to resect in networks derived from 20 individuals who underwent resective surgery for epilepsy. We show that they have the potential to aid epilepsy surgery by suggesting alternative resection sites as well as facilitating the avoidance of brain regions that should not be resected.
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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.