ArticlePLoS computational biology2019
Controlling seizure propagation in large-scale brain networks.
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 58 papers.
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Who cites it
58 citing papers in PubMed.
- Development of an integrated predictive model for postoperative glioma-related epilepsy using gene-signature and clinical data.BMC cancer · 2023Trial
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Bayesian Uncertainty-aware Deep Learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection.PloS one · 2026Article
- Cortical connectivity, local dynamics and stability correlates of global conscious states.Communications biology · 2025Article
- Cerebral Cavernous Malformations and Focal Drug-Resistant Epilepsy: Behind a Quid Pro Quo of Lesion and Epileptogenic Networks.European journal of neurology · 2025Article
- Seizure network characterization by functional connectivity mapping and manipulation.Neurophotonics · 2025Article
- Epileptogenic zone characteristics determine effectiveness of electrical transcranial stimulation in epilepsy treatment.Brain communications · 2025Article
- Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses.PLoS computational biology · 2024Article
- Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers.PLoS computational biology · 2024Article
- Modeling brain network flexibility in networks of coupled oscillators: a feasibility study.Scientific reports · 2024Article
- Bifurcations and bursting in the Epileptor.PLoS computational biology · 2024Article
- High-Density Exploration of Activity States in a Multi-Area Brain Model.Neuroinformatics · 2024Article
- Predicting radiofrequency thermocoagulation surgical outcomes in refractory focal epilepsy patients using functional coupled neural mass model.Frontiers in neurology · 2024Article
- Individualized epidemic spreading models predict epilepsy surgery outcomes: A pseudo-prospective study.Network neuroscience (Cambridge, Mass.) · 2024Article
- Treatment effects in epilepsy: a mathematical framework for understanding response over time.Frontiers in network physiology · 2024Article
- Effects of the spatial resolution of the Virtual Epileptic Patient on the identification of epileptogenic networks.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Recent Progress in Brain Network Models for Medical Applications: A Review.Health data science · 2024Review
- 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
- The role of quantitative markers in surgical prognostication after stereoelectroencephalography.Annals of clinical and translational neurology · 2023Article
- Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight.Nature reviews. Neuroscience · 2023Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Information transmission in the human brain is a fundamentally dynamic network process. In partial epilepsy, this process is perturbed and highly synchronous seizures originate in a local network, the so-called epileptogenic zone (EZ), before recruiting other close or distant brain regions. We studied patient-specific brain network models of 15 drug-resistant epilepsy patients with implanted stereotactic electroencephalography (SEEG) electrodes. Each personalized brain model was derived from structural data of magnetic resonance imaging (MRI) and diffusion tensor weighted imaging (DTI), comprising 88 nodes equipped with region specific neural mass models capable of demonstrating a range of epileptiform discharges. Each patient's virtual brain was further personalized through the integration of the clinically hypothesized EZ. Subsequent simulations and connectivity modulations were performed and uncovered a finite repertoire of seizure propagation patterns. Across patients, we found that (i) patient-specific network connectivity is predictive for the subsequent seizure propagation pattern; (ii) seizure propagation is characterized by a systematic sequence of brain states; (iii) propagation can be controlled by an optimal intervention on the connectivity matrix; (iv) the degree of invasiveness can be significantly reduced via the proposed seizure control as compared to traditional resective surgery. To stop seizures, neurosurgeons typically resect the EZ completely. We showed that stability analysis of the network dynamics, employing structural and dynamical information, estimates reliably the spatiotemporal properties of seizure propagation. This suggests novel less invasive paradigms of surgical interventions to treat and manage partial epilepsy.
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