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Related Concept Videos

Brain Waves01:23

Brain Waves

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Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
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Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
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Related Experiment Video

Updated: Sep 18, 2025

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
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Intracranial High-Frequency Oscillations and Epileptogenic Zone: Incorporating Neuroanatomic Variation.

Daniel Wendelken1, Brian Ervin2, Jason Buroker2

  • 1Department of Computer Science, University of Cincinnati, Cincinnati, Ohio, U.S.A.

Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|June 25, 2025
PubMed
Summary
This summary is machine-generated.

Normalizing high-frequency oscillations by neuroanatomic region enhances the accuracy of pinpointing the epileptogenic zone (EZ). This method improves diagnostic performance for identifying seizure onset in epilepsy patients.

Keywords:
Drug-resistant epilepsyEpilepsy presurgical evaluationStereo-electroencephalography

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Area of Science:

  • Neuroscience
  • Epileptology
  • Biomarker Discovery

Background:

  • Accurate localization of the epileptogenic zone (EZ) is crucial for successful epilepsy surgery.
  • High-frequency oscillations (HFOs) are emerging biomarkers for EZ identification.
  • Current methods for analyzing HFOs may not fully account for neuroanatomic variations.

Purpose of the Study:

  • To evaluate if incorporating neuroanatomic or intersubject variation in high-frequency oscillation (HFO) occurrence rates improves diagnostic performance for epileptogenic zone (EZ) localization.
  • To compare different normalization methods for HFO analysis in EZ localization.

Main Methods:

  • Analysis of 5-minute stereo-electroencephalography (SEEG) data from 59 epilepsy patients.
  • HFOs analyzed using three normalization methods: rate per minute, region-wise across patients, and patient-wise.
  • Generalized linear mixed effects models trained on patients with good surgical outcomes and validated on those with poorer outcomes.

Main Results:

  • Region-wise normalization of HFOs yielded the best EZ localization performance (AUC 0.69), closely followed by rate per minute (AUC 0.68).
  • The optimal model predicted EZ in individual patients with varying accuracy (0.18-0.86), sensitivity (0.05-1.00), and specificity (0.12-0.95).
  • Model performance was highest in medial/orbital frontal (0.8), lateral temporal (0.78), and lateral parietal (0.76) regions, but false positives were noted in some cases.

Conclusions:

  • Normalizing HFO occurrence rate by neuroanatomic region significantly improves diagnostic performance for EZ localization.
  • HFOs are more reliable for identifying electrode contacts within the EZ in the medial/orbital frontal lobe and temporal neocortex.
  • Region-specific normalization enhances the utility of HFOs as interictal biomarkers for epilepsy surgery planning.