Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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 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 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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Ageism in healthcare: sad prejudices!]

La Revue du praticien·2026
Same author

Mind the Gap: Unraveling the Pharmacokinetic Variability of Δ9-Tetrahydrocannabinol (THC).

Journal of clinical pharmacology·2026
Same author

Who gets included? Equity in digital and decentralised mental health and neurodevelopmental trials: A systematic review.

PLOS digital health·2026
Same author

Design and baseline findings of the NEODEM prospective cohort on early-onset neurodegenerative dementia.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

<i>In vivo</i> base editing via single myotrophic adeno-associated viruses in dystrophic mouse muscle and satellite cells.

bioRxiv : the preprint server for biology·2026
Same author

Living alone and risk of dementia, cognitive decline, and institutionalization in the MEMENTO cohort.

Frontiers in aging·2026

Related Experiment Video

Updated: Jun 15, 2026

Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy
11:54

Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy

Published on: January 29, 2018

Seizures in the elderly: development and validation of a diagnostic algorithm.

Sophie Dupont1, Marc Verny, Sandrine Harston

  • 1Epilepsy Unit, Clinique Paul Castaigne, Pitié-Salpêtrière Hospital, APHP, Paris, France. sophie.dupont@psl.aphp.fr

Epilepsy Research
|March 16, 2010
PubMed
Summary

Diagnosing seizures in older adults is difficult. This study developed and validated an expert-based algorithm, showing it can effectively aid in identifying epileptic seizures in the elderly population.

Related Experiment Videos

Last Updated: Jun 15, 2026

Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy
11:54

Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy

Published on: January 29, 2018

Area of Science:

  • Geriatric Neurology
  • Clinical Diagnostics
  • Epileptology

Background:

  • Seizures are common in the elderly, posing diagnostic challenges.
  • Accurate diagnosis is crucial for appropriate management and treatment.
  • Existing diagnostic methods may not fully address the complexities in this demographic.

Purpose of the Study:

  • To develop and validate an expert-based algorithm for diagnosing seizures in elderly individuals.
  • To improve the accuracy and efficiency of seizure diagnosis in geriatric populations.
  • To provide a structured approach combining clinical, electroencephalographical, and radiological data.

Main Methods:

  • A multidisciplinary team of neurologists and geriatricians created a diagnostic algorithm.
  • The algorithm incorporated 29 selected clinical, electroencephalographical, and radiological criteria.
  • Validation involved a multicenter retrospective analysis of 269 elderly patients' records.

Main Results:

  • The developed algorithm classified seizures into four levels: certain, highly probable, possible, or improbable.
  • The initial algorithm demonstrated 86.2% sensitivity and 67.2% specificity in distinguishing probable seizures.
  • Simplified models with 13 and 7 criteria showed high performance (e.g., 85.5% sensitivity, 90.1% specificity for the 13-criteria model).

Conclusions:

  • The revised diagnostic algorithm is validated as a useful tool for diagnosing epileptic seizures in the elderly.
  • Simplified models offer efficient diagnostic support with maintained accuracy.
  • Further prospective studies are recommended for comprehensive validation.