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Related Concept Videos

Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

281
Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
281

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Localization of the Epileptogenic Zone Using Neural Spatial Volatility in Epilepsy Surgery.

Naoto Kuroda1,2, Hiroshi Uda1, Keiki Inoue3

  • 1Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University.

Neurology
|July 31, 2025
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Neural spatial volatility, or differences in brain activity, can predict seizure freedom in epilepsy surgery patients. This finding may offer a new way to pinpoint the epileptogenic zone for better treatment outcomes.

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Area of Science:

  • Neuroscience
  • Epileptology
  • Medical Imaging

Background:

  • Brain tissues show altered properties in diseased areas compared to healthy regions.
  • Healthy brain tissues have milder topographical variability.
  • The epileptogenic zone in drug-resistant focal epilepsy is hypothesized to have pronounced electrographic property alterations.

Purpose of the Study:

  • To test if pronounced electrographic alterations characterize the epileptogenic zone.
  • To determine if neural spatial volatility predicts seizure freedom after epilepsy surgery.
  • To assess if incorporating neural spatial volatility improves outcome prediction models.

Main Methods:

  • International, multicenter observational study of patients with drug-resistant focal epilepsy undergoing surgery.
  • Intracranial EEG (iEEG) recording and at least 1 year of postoperative follow-up.
  • Definition of neural spatial volatility as differences in interictal high-frequency electrographic measures compared to adjacent areas.

Main Results:

  • Greater neural spatial volatility in resected sites independently predicted postoperative seizure freedom in a derivation cohort (n=140).
  • The prediction model incorporating neural spatial volatility improved classification performance (AUC up to 0.825).
  • Results were validated in an independent test dataset (n=26), showing improved prediction performance (AUC up to 0.819).

Conclusions:

  • Increased heterogeneity in mesoscale distribution of interictal high-frequency activity distinguishes the epileptogenic zone in drug-resistant focal epilepsy.
  • Neural spatial volatility may serve as a novel marker for epileptogenic zone localization.
  • Findings suggest a potential new approach for identifying the source of seizures in epilepsy patients.