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Related Concept Videos

Seizures: Classification01:13

Seizures: Classification

600
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.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
600
Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

285
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...
285

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Related Experiment Video

Updated: Sep 15, 2025

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex
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Seizure forecasting by tracking cortical response to electrical stimulation.

Petroula Laiou1, Zeljko Kraljevic1, Antonio Valentin2

  • 1Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Epilepsia
|July 15, 2025
PubMed
Summary

Forecasting seizures is improved by stimulating the cortex and measuring the brain

Keywords:
cortical responseelectrical stimulationepilepsyforecastingintracranial electroencephalographic recordingsseizures

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Area of Science:

  • Neuroscience
  • Epilepsy Research
  • Biomedical Engineering

Background:

  • Seizure unpredictability significantly impacts individuals with epilepsy.
  • Previous seizure forecasting relied on intracranial electroencephalography (iEEG) analysis.
  • Active cortical stimulation may offer more direct insights into cortical excitability.

Purpose of the Study:

  • To investigate seizure forecasting using cortical response to electrical stimulation.
  • To compare this method with passive iEEG observation for seizure prediction.

Main Methods:

  • Eight patients with treatment-resistant epilepsy underwent iEEG monitoring.
  • Prolonged single-pulse electrical stimulation was applied to the cortex.
  • A logistic regression (LR) algorithm analyzed post-stimulus iEEG responses for seizure likelihood.

Main Results:

  • Seizures were forecast above chance levels in seven of eight patients (average Improvement over Chance [IoC]: 0.74).
  • Forecasting performance using stimulated cortical response outperformed passive iEEG observation (average IoC: 0.54).

Conclusions:

  • Cortical response to electrical stimulation shows promise for seizure forecasting.
  • This approach could inform the development of novel implantable devices for seizure control.