ArticleBrain : a journal of neurology2017
Individual brain structure and modelling predict seizure propagation.
Article in Brain : a journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.
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Who cites it
129 citing papers in PubMed, 285 citations in OpenAlex.
- From Computational Models to Clinical Decision-Making in Epilepsy: Bridging the Gap Between Theory and Practice.Brain topography · 2026Review
- Biophysically inspired mean-field model of neuronal populations driven by ion-exchange mechanisms.eLife · 2026Article
- How to Recognize and Manage Missing Key Electrodes in Defining the Epileptogenic Zone.Epilepsy currents · 2026Article
- Seizure recruitment properties are dependent upon dynamotype: A modeling study.PLoS computational biology · 2026Article
- Review
- Thalamo-cortical synchrony shapes seizure expression in human temporal lobe epilepsy.Nature communications · 2026Article
- Whole-brain cellular-resolution functional network properties of seizure susceptibility.bioRxiv : the preprint server for biology · 2026Article
- Passive neuromodulation: an energy-driven mechanism for closed-loop suppression of epileptic seizures.bioRxiv : the preprint server for biology · 2026Article
- Computational modeling of seizure reconstruction and attenuation via model reference control.Scientific reports · 2026Article
- Modular Model of Neuronal Activity That Captures the Dynamics of Main Molecular Targets of Antiepileptic Drugs.International journal of molecular sciences · 2026Article
- Phase-dependent stimulation response is shaped by the brain's dynamic functional connectivity.Network neuroscience (Cambridge, Mass.) · 2026Article
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025Review
- Article
- Article
- Virtual brain twins for stimulation in epilepsy.Nature computational science · 2025Article
- Very High-Frequency Oscillations in Mesial Temporal Lobe Epilepsy: Identifying the Epileptogenic Zone.Annals of clinical and translational neurology · 2025Article
- Voxel-Based Lesion Symptom Mapping to Predict Poststroke Epilepsy After Mechanical Thrombectomy.European journal of neurology · 2025Article
- Virtual epilepsy patient cohort: Generation and evaluation.PLoS computational biology · 2025Article
- Pioneering new paths: the role of generative modelling in neurological disease research.Pflugers Archiv : European journal of physiology · 2025Review
- Localization of the epileptogenic network from scalp EEG using a patient-specific whole-brain model.Network neuroscience (Cambridge, Mass.) · 2025Article
69 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
See Lytton (doi:10.1093/awx018) for a scientific commentary on this article.Neural network oscillations are a fundamental mechanism for cognition, perception and consciousness. Consequently, perturbations of network activity play an important role in the pathophysiology of brain disorders. When structural information from non-invasive brain imaging is merged with mathematical modelling, then generative brain network models constitute personalized in silico platforms for the exploration of causal mechanisms of brain function and clinical hypothesis testing. We here demonstrate with the example of drug-resistant epilepsy that patient-specific virtual brain models derived from diffusion magnetic resonance imaging have sufficient predictive power to improve diagnosis and surgery outcome. In partial epilepsy, seizures originate in a local network, the so-called epileptogenic zone, before recruiting other close or distant brain regions. We create personalized large-scale brain networks for 15 patients and simulate the individual seizure propagation patterns. Model validation is performed against the presurgical stereotactic electroencephalography data and the standard-of-care clinical evaluation. We demonstrate that the individual brain models account for the patient seizure propagation patterns, explain the variability in postsurgical success, but do not reliably augment with the use of patient-specific connectivity. Our results show that connectome-based brain network models have the capacity to explain changes in the organization of brain activity as observed in some brain disorders, thus opening up avenues towards discovery of novel clinical interventions.
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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.