ArticleeNeuro
Recurring Functional Interactions Predict Network Architecture of Interictal and Ictal States in Neocortical Epilepsy.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Decoding Intracranial EEG With Machine Learning: A Systematic Review.Frontiers in human neuroscience · 2022Pooled it
- Early seizure spread and epilepsy surgery: A systematic review.Epilepsia · 2020Pooled it
- States of dynamic connectivity flow in temporal multiplex networks: A case study in human epilepsy and postictal aphasia.Network neuroscience (Cambridge, Mass.) · 2026Article
- Predictive modeling of evoked intracranial EEG response to medial temporal lobe stimulation in patients with epilepsy.Communications biology · 2024Article
- Evolution of brain network dynamics in early Parkinson's disease with mild cognitive impairment.Cognitive neurodynamics · 2023Article
- Article
- Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states.Brain communications · 2023Article
- Interictal Connectivity Revealed by Granger Analysis of Stereoelectroencephalography: Association With Ictal Onset Zone, Resection, and Outcome.Neurosurgery · 2022Article
- A framework For brain atlases: Lessons from seizure dynamics.NeuroImage · 2022Article
- Brain network analysis of interictal epileptiform discharges from ECoG to identify epileptogenic zone in pediatric patients with epilepsy and focal cortical dysplasia type II: A retrospective study.Frontiers in neurology · 2022Article
- Dynamical Network Models From EEG and MEG for Epilepsy Surgery-A Quantitative Approach.Frontiers in neurology · 2022Review
- Brain network dynamics codify heterogeneity in seizure evolution.Brain communications · 2022Article
- Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy.Frontiers in neuroinformatics · 2021Article
- Prediction of Seizure Recurrence. A Note of Caution.Frontiers in neurology · 2021Article
- 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
- Semi-automatic Extraction of Functional Dynamic Networks Describing Patient's Epileptic Seizures.Frontiers in neurology · 2020Article
- Emerging roles of network analysis for epilepsy.Epilepsy research · 2020Review
- Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization.NeuroImage. Clinical · 2020Article
- Homeostatic Plasticity in Epilepsy.Frontiers in cellular neuroscience · 2020Article
- Characterizing the role of the structural connectome in seizure dynamics.Brain : a journal of neurology · 2019Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Human epilepsy patients suffer from spontaneous seizures, which originate in brain regions that also subserve normal function. Prior studies demonstrate focal, neocortical epilepsy is associated with dysfunction, several hours before seizures. How does the epileptic network perpetuate dysfunction during baseline periods? To address this question, we developed an unsupervised machine learning technique to disentangle patterns of functional interactions between brain regions, or subgraphs, from dynamic functional networks constructed from approximately 100 h of intracranial recordings in each of 22 neocortical epilepsy patients. Using this approach, we found: (1) subgraphs from ictal (seizure) and interictal (baseline) epochs are topologically similar, (2) interictal subgraph topology and dynamics can predict brain regions that generate seizures, and (3) subgraphs undergo slower and more coordinated fluctuations during ictal epochs compared to interictal epochs. Our observations suggest that seizures mark a critical shift away from interictal states that is driven by changes in the dynamical expression of strongly interacting components of the epileptic network.
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Registered trials
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.