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Updated: Jun 23, 2026

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

Paroxysmal slow waves mark ictal networks.

Florent J M Boyer-Aymé¹, Hamza Imtiaz², Ofer Prager¹

¹The Departments of Physiology & Cell Biology, Professor Vladimir Zelman Inter-Disciplinary Center of Brain Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

|June 20, 2026

Summary

This summary is machine-generated.

Paroxysmal slow-wave events (PSWEs) detected on scalp EEG can indicate deep brain seizure activity in epilepsy. This noninvasive biomarker aids in identifying silent seizure foci and monitoring treatment effectiveness.

Keywords:

EEG epilepsy epileptiform activity paroxysmal slow‐wave events status epilepticus temporal lobe epilepsy

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Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

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Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

Area of Science:

Neuroscience
Epileptology
Biomarker Discovery

Background:

Epilepsy diagnosis and treatment monitoring are challenging due to seizure variability and normal scalp EEG in some patients.
Paroxysmal slow-wave events (PSWEs) are brief EEG abnormalities previously identified in epilepsy.
Further defining the clinical significance of PSWEs as a biomarker is crucial.

Purpose of the Study:

To investigate the clinical significance of paroxysmal slow-wave events (PSWEs) as a biomarker in epilepsy.
To determine the origin and modulation of PSWEs in a rat model and human epilepsy patients.
To assess the utility of PSWEs in detecting deep epileptiform activity and monitoring treatment.

Main Methods:

Utilized intracerebral and epidural recordings in a rat model of temporal lobe epilepsy.
Employed long-term video-EEG monitoring (LTM) in human temporal lobe epilepsy patients.
Correlated scalp EEG findings with simultaneous intracerebral recordings and analyzed retrospective seizure data.

Main Results:

PSWEs were found to originate in temporo-frontal networks and co-occur with global slowing.
PSWEs increased during spontaneous and induced seizures and were modulated by GABAergic agents.
Scalp PSWEs correlated with hippocampal activity and were more frequent during preictal and ictal periods.

Conclusions:

Surface PSWEs can reflect remote epileptiform activity, serving as a valuable biomarker.
PSWEs offer a quantitative, noninvasive method for detecting EEG-silent deep epileptic foci.
This biomarker facilitates pharmacodynamic evaluation in epilepsy management.