ArticleEpilepsia2018
Phase-amplitude coupling between interictal high-frequency activity and slow waves in epilepsy surgery.
Article in Epilepsia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Naming-related spectral responses predict neuropsychological outcome after epilepsy surgery.Brain : a journal of neurology · 2022Trial
- Alteration of functional connectivity and network properties after stereo-electroencephalography guided radiofrequency thermocoagulation.Chinese neurosurgical journal · 2026Article
- Investigation of the relationship between 0.5-1200 Hz signal characteristics of cortical high-frequency oscillations and epileptogenicity through multivariate analysis.Epilepsy & behavior reports · 2025Article
- Dynamic brain-heart interaction in sleep characterized by variational phase-amplitude coupling framework.Communications biology · 2025Article
- Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning.Scientific reports · 2025Article
- Ictal phase-amplitude coupling as a biomarker for seizure onset zone in neocortical epilepsy.Frontiers in neurology · 2025Article
- Editorial: Advances in epilepsy research: exploring biomarkers, brain stimulation, and neurosurgical interventions.Frontiers in human neuroscience · 2025Article
- Normative high-frequency oscillation phase-amplitude coupling and effective connectivity under sevoflurane.Brain communications · 2025Article
- Normative atlases of high-frequency oscillation and spike rates under Sevoflurane anesthesia.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- Dynamic evolution of frontal-temporal network connectivity in temporal lobe epilepsy: A magnetoencephalography study.Human brain mapping · 2024Article
- Altered effective connectivity of the default mode network in juvenile myoclonic epilepsy.Cognitive neurodynamics · 2024Article
- EEG band power and phase-amplitude coupling in patients with Dravet syndrome.Annals of the Child Neurology Society · 2024Article
- Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024Review
- Seizure onset zone identification using phase-amplitude coupling and multiple machine learning approaches for interictal electrocorticogram.Cognitive neurodynamics · 2023Article
- Developmental atlas of phase-amplitude coupling between physiologic high-frequency oscillations and slow waves.Nature communications · 2023Article
- Sevoflurane-induced high-frequency oscillations, effective connectivity and intraoperative classification of epileptic brain areas.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Spike patterns surrounding sleep and seizures localize the seizure-onset zone in focal epilepsy.Epilepsia · 2023Article
- Epileptic seizure focus detection from interictal electroencephalogram: a survey.Cognitive neurodynamics · 2023Review
- Dynamic cortical and tractography atlases of proactive and reactive alpha and high-gamma activities.Brain communications · 2023Article
- Epileptic seizures detection and the analysis of optimal seizure prediction horizon based on frequency and phase analysis.Frontiers in neuroscience · 2023Article
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Authors and funding
10 authors.
Funding
Abstract
objectiveWe hypothesized that the modulation index (MI), a summary measure of the strength of phase-amplitude coupling between high-frequency activity (>150 Hz) and the phase of slow waves (3-4 Hz), would serve as a useful interictal biomarker for epilepsy presurgical evaluation.
methodsWe investigated 123 patients who underwent focal cortical resection following extraoperative electrocorticography recording and had at least 1 year of postoperative follow-up. We examined whether consideration of MI would improve the prediction of postoperative seizure outcome. MI was measured at each intracranial electrode site during interictal slow-wave sleep. We compared the accuracy of prediction of patients achieving International League Against Epilepsy class 1 outcome between the full multivariate logistic regression model incorporating MI in addition to conventional clinical, seizure onset zone (SOZ), and neuroimaging variables, and the reduced logistic regression model incorporating all variables other than MI.
resultsNinety patients had class 1 outcome at the time of most recent follow-up (mean follow-up = 5.7 years). The full model had a noteworthy outcome predictive ability, as reflected by regression model fit R SIGNIFICANCE: MI during interictal recording may provide useful information for the prediction of postoperative seizure outcome.
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