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Epilepsy and Seizures: Overview

Epilepsy and Seizures: Overview

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...

Epilepsy ll: Types

Epilepsy ll: Types

Recurrent seizures, stemming from abnormal electrical activity in the brain, are the defining characteristic of epilepsy, a chronic neurological condition. Because seizure features vary greatly, epilepsy is classified using two systems: by seizure type and by epilepsy syndromes. These classifications enable clinicians to describe seizure patterns and select suitable treatment strategies.I. Classification by Seizure Type1. Focal EpilepsyFocal epilepsy begins in one hemisphere of the brain.

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Related Experiment Video

Updated: Jun 5, 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

Estimating risk for developing epilepsy: a population-based study in Rochester, Minnesota.

D C Hesdorffer¹, G Logroscino, E K T Benn

¹G.H. Sergievsky Center, 630 West 168th Street, P&S Unit 16, New York, NY 10032, USA. dch5@columbia.edu

|January 6, 2011

Summary

This summary is machine-generated.

The lifetime risk of developing epilepsy is 1 in 26, with higher incidence in the elderly. This study accounts for mortality, providing a more accurate estimate of epilepsy risk over a lifetime.

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

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Area of Science:

Neurology
Epidemiology
Public Health

Background:

Previous epilepsy risk studies overlooked the competing risk of death, particularly in older populations where epilepsy incidence is highest.
Accurate lifetime risk assessment is crucial for understanding epilepsy prevalence and planning healthcare services.

Purpose of the Study:

To calculate the lifetime risk of developing epilepsy, incorporating the competing risk of mortality.
To provide a more precise estimate of epilepsy incidence across different age groups and time periods.

Main Methods:

Examined lifetime risk and cumulative incidence of epilepsy in Rochester, MN residents (1960-1979).
Utilized age-, gender-, and calendar year-specific mortality data.
Calculated lifetime risk as the conditional probability of developing epilepsy by a specific age, given survival to that age.

Main Results:

Identified 412 incident epilepsy cases between 1960 and 1979.
Lifetime risk reached 1.6% by age 50 and 3.0% by age 80.
Lifetime risk increased from 3.5% (1960-1969) to 4.2% (1970-1979) by age 87.

Conclusions:

Approximately 1 in 26 individuals will develop epilepsy in their lifetime.
Lifetime risk estimates are vital for individual risk perception and healthcare service planning for epilepsy.
Accounting for mortality provides a more accurate measure of epilepsy's lifelong burden.