ArticleScientific reports2023
Functional connectivity discriminates epileptogenic states and predicts surgical outcome in children with drug resistant epilepsy.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Seizure outcomes and complications associated with stereoelectroencephalography versus subdural electrodes for invasive monitoring in epilepsy surgery: a meta-analysis.Frontiers in neurology · 2025Pooled it
- Resting-State fMRI Functional Connectivity Alterations in Drug-Resistant Epilepsy Compared to Well-Controlled Epilepsy and Healthy Controls.Neurology international · 2026Article
- Accurately modeling resting-brain functional connectivity using hypergraph neural field-Fourier deep neural network.Scientific reports · 2026Article
- Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework.Scientific reports · 2026Article
- Intrinsic and extrinsic connectivity of the seizure onset zone at rest and during stimulation.medRxiv : the preprint server for health sciences · 2026Article
- Predicting Surgical Outcome in Drug-Resistant Epilepsy by Combining Interictal Biomarkers within a Machine Learning Framework.Research square · 2026Article
- Multimodal neuroimaging fusion in presurgical evaluation of drug-resistant epilepsy: current evidence, clinical integration, and future directions.Frontiers in neuroscience · 2026Review
- Pediatric Epilepsy Surgery: The Noninvasive Presurgical Evaluation.Pediatric neurosurgery · 2026Review
- Noninvasive Biomarkers for Assessing the Excitatory/Inhibitory Imbalance in Children with Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Focused ultrasound suppresses pentylenetetrazol-induced epileptiform activity in rats and alters connectivity measured by functional MRI.Scientific reports · 2025Article
- Can brain network analyses guide epilepsy surgery?Current opinion in neurology · 2025Review
- Identifying the epileptic network by linking interictal functional and structural connectivity.Scientific reports · 2025Article
- Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy.NPJ digital medicine · 2025Article
- Preictal connectivity dynamics: Exploring inflow and outflow in iEEG networks.Frontiers in network physiology · 2025Article
- Directionality of neural activity in and out of the seizure onset zone in focal epilepsy.Network neuroscience (Cambridge, Mass.) · 2025Article
- Normative high-frequency oscillation phase-amplitude coupling and effective connectivity under sevoflurane.Brain communications · 2025Article
- Neighbourhood topology unveils pathological hubs in the brain networks of epilepsy-surgery patients.Brain communications · 2025Article
- Source Causal Connectivity Noninvasively Predicting Surgical Outcomes of Drug-Refractory Epilepsy.CNS neuroscience & therapeutics · 2025Article
- Virtual resection evaluation based on sEEG propagation network for drug-resistant epilepsy.Scientific reports · 2024Article
- Hippocampal network activity forecasts epileptic seizures.Nature medicine · 2024Article
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9 authors.
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Abstract
Normal brain functioning emerges from a complex interplay among regions forming networks. In epilepsy, these networks are disrupted causing seizures. Highly connected nodes in these networks are epilepsy surgery targets. Here, we assess whether functional connectivity (FC) using intracranial electroencephalography can quantify brain regions epileptogenicity and predict surgical outcome in children with drug resistant epilepsy (DRE). We computed FC between electrodes on different states (i.e. interictal without spikes, interictal with spikes, pre-ictal, ictal, and post-ictal) and frequency bands. We then estimated the electrodes' nodal strength. We compared nodal strength between states, inside and outside resection for good- (n = 22, Engel I) and poor-outcome (n = 9, Engel II-IV) patients, respectively, and tested their utility to predict the epileptogenic zone and outcome. We observed a hierarchical epileptogenic organization among states for nodal strength: lower FC during interictal and pre-ictal states followed by higher FC during ictal and post-ictal states (p < 0.05). We further observed higher FC inside resection (p < 0.05) for good-outcome patients on different states and bands, and no differences for poor-outcome patients. Resection of nodes with high FC was predictive of outcome (positive and negative predictive values: 47-100%). Our findings suggest that FC can discriminate epileptogenic states and predict outcome in patients with DRE.
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