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Epilepsy and Seizures: Overview01:24

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...
Seizures: Classification01:13

Seizures: Classification

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:
Seizures l: Introduction01:20

Seizures l: Introduction

Understanding seizures and epilepsy relies on key definitions that help in recognizing, classifying, and managing these disorders. These definitions provide a framework for recognizing, classifying, and managing seizure disorders.DefinitionsA seizure is a sudden, abnormal burst of electrical activity in the brain that can cause changes in awareness, movement, sensation, or behavior, depending on the area involved. Epilepsy is a chronic condition characterized by recurrent, unprovoked seizures,...
Seizures ll: Types01:19

Seizures ll: Types

Seizures are sudden bursts of abnormal electrical discharge in the brain that interfere with normal function. They are commonly divided into three groups: focal seizures, generalized seizures, and other types that do not fit neatly into either category.Focal SeizuresFocal seizures begin in a single brain region. When awareness is preserved, they are called focal aware seizures and may cause sensations such as tingling, unusual smells, or flashing lights. When awareness is impaired, they are...
Epilepsy ll: Types01:22

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.
Antiepileptic Drugs: Modulators of Neurotransmitter Release Mediated by SV2A Protein01:20

Antiepileptic Drugs: Modulators of Neurotransmitter Release Mediated by SV2A Protein

Antiepileptic drugs, such as levetiracetam (Keppra) and brivaracetam (Briviact), have emerged as crucial tools in managing epilepsy. These medications exert their therapeutic effects by targeting the synaptic vesicle protein SV2A, a transmembrane glycoprotein primarily found in the brain.
SV2A is a transmembrane glycoprotein located predominantly in the brain, modulating the release of neurotransmitters for neuronal communication. Both levetiracetam and brivaracetam exhibit a high affinity for...

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Related Experiment Video

Updated: Jun 13, 2026

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue
06:45

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue

Published on: January 19, 2019

Seizure prediction and recall.

J M DuBois1, L S Boylan, M Shiyko

  • 1Department of Neurology, NYU Langone School of Medicine, NYU Epilepsy Center, 223 East 34th Street, New York, NY 10016, USA. jonathan.m.dubois@gmail.com

Epilepsy & Behavior : E&B
|May 12, 2010
PubMed
Summary
This summary is machine-generated.

Patients with epilepsy demonstrated significant seizure prediction and recall abilities. Higher inpatient seizure rates correlated with improved prediction and memory, indicating heightened patient awareness.

More Related Videos

Assessment of Memory Function in Pilocarpine-induced Epileptic Mice
13:34

Assessment of Memory Function in Pilocarpine-induced Epileptic Mice

Published on: June 4, 2020

Related Experiment Videos

Last Updated: Jun 13, 2026

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue
06:45

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue

Published on: January 19, 2019

Assessment of Memory Function in Pilocarpine-induced Epileptic Mice
13:34

Assessment of Memory Function in Pilocarpine-induced Epileptic Mice

Published on: June 4, 2020

Area of Science:

  • Neurology
  • Clinical Neuroscience
  • Epilepsy Research

Background:

  • Epilepsy affects millions globally, necessitating research into patient self-awareness and prediction capabilities.
  • Understanding seizure recall and prediction is crucial for improving patient management and quality of life.

Purpose of the Study:

  • To investigate seizure prediction and recall accuracy in adult epilepsy patients.
  • To identify diagnostic variables influencing seizure awareness and predictability.

Main Methods:

  • Generalized mixed-effects models were employed to analyze data from 83 adult epilepsy patients.
  • Video/electroencephalogram (EEG) monitoring was utilized to assess seizure events and patient reports.

Main Results:

  • Patients accurately predicted seizures with a probability of 0.320 (P<0.05) compared to negative predictions (0.151).
  • Seizure recall significantly improved from 0.130 without a seizure to 0.628 when a seizure occurred (P<0.001).
  • Inpatient seizure rate was the sole significant predictor for both seizure predictability and recollection (P<0.001).

Conclusions:

  • Adult epilepsy patients exhibit a high degree of seizure awareness and predictive capability.
  • The frequency of seizures, specifically inpatient seizure rate, is a key factor influencing a patient's ability to predict and recall seizures.
  • These findings underscore the importance of considering patient self-awareness in epilepsy management strategies.