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Related Concept Videos

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:
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.
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,...
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...
Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
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...

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Related Experiment Video

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Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

From classification to epilepsy ontology and informatics.

Guo-Qiang Zhang1, Satya S Sahoo, Samden D Lhatoo

  • 1Division of Medical Informatics, Case Western Reserve University and University Hospitals Case Medical Center, Cleveland, Ohio 44106, USA.

Epilepsia
|July 7, 2012
PubMed
Summary

A new epilepsy ontology is proposed to support the evolving International League Against Epilepsy (ILAE) classification. This flexible, multidimensional system will enhance epilepsy informatics, research, and patient care.

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Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
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Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

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

Published on: January 19, 2019

Area of Science:

  • Epilepsy research
  • Medical informatics
  • Knowledge engineering

Background:

  • The 2010 International League Against Epilepsy (ILAE) classification aimed to integrate advances in molecular biology, neuroimaging, and genetics.
  • Previous classifications lacked the flexibility and multidimensionality required for evolving scientific understanding and diverse applications.
  • The need for a dynamic classification system to support clinical research, patient care, and drug discovery was identified.

Purpose of the Study:

  • To propose an epilepsy ontology that accommodates the evolving ILAE classification and other standards like NIH/NINDS Common Data Elements and ICD.
  • To create a structured terminology system that specifies relationships between epilepsy concepts, facilitating data-intensive studies.
  • To enhance epilepsy informatics by enabling information systems to support evidence-based diagnosis, treatment, and research.

Main Methods:

  • Development of a structured terminology system (ontology) for epilepsy concepts.
  • Integration of proposed and evolving ILAE classifications, NIH/NINDS Common Data Elements, and ICD systems.
  • Specification of relationships between epilepsy concepts within a robust framework.

Main Results:

  • The proposed epilepsy ontology provides a flexible and multidimensional framework for classifying epilepsy.
  • It supports the integration of diverse epilepsy-related data, including electronic patient records and research repositories.
  • The ontology facilitates evidence-based practices in epilepsy diagnosis, investigation, treatment, and research.

Conclusions:

  • An epilepsy ontology is crucial for advancing epilepsy informatics and meeting the demands of complex, rapidly evolving research.
  • Collaborative development involving epilepsy community stakeholders and experts is essential for creating a comprehensive and effective ontology.
  • The ontology offers significant benefits, from systematizing records to supporting multimodal research and training.