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Related Concept Videos

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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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: methods.

Paul R Carney1, Stephen Myers, James D Geyer

  • 1Departments of Pediatrics, Neurology, Neuroscience, and Biomedical Engineering, McKnight Brain Institute, Wilder Center of Excellence for Epilepsy Research, University of Florida College of Medicine, Gainesville, FL 32610–0296, USA. carnepr@peds.ufl.edu

Epilepsy & Behavior : E&B
|November 15, 2011
PubMed
Summary
This summary is machine-generated.

New algorithms enable devices to detect and predict seizures hours in advance, offering new hope for epilepsy treatment. This technology aims to prevent seizures before they manifest, improving patient outcomes.

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Epilepsy affects over 50 million globally, with a significant portion experiencing drug-resistant seizures.
  • Current antiepileptic drugs are ineffective for approximately one-third of patients.
  • There is a critical need for advanced seizure management strategies.

Purpose of the Study:

  • To review algorithms for automated seizure detection and prediction.
  • To explore the implementation and comparative analysis of these algorithms.
  • To demonstrate the potential of closed-loop seizure prevention systems.

Main Methods:

  • Discussion of algorithms for early seizure onset detection.
  • Analysis of algorithms for seizure prediction hours before occurrence.
  • Comparative review of algorithm strengths and weaknesses.
  • Illustration of algorithms integrated into a closed-loop system.

Main Results:

  • Algorithms are being developed for real-time seizure detection.
  • Predictive algorithms offer hours of lead time for intervention.
  • Comparative analysis highlights varying performance metrics of different algorithms.
  • Integration into closed-loop systems shows promise for seizure prevention.

Conclusions:

  • Automated seizure detection and prediction technologies are advancing rapidly.
  • These technologies offer potential for proactive seizure management and improved quality of life.
  • Future research focuses on combining algorithms for closed-loop seizure prevention systems.