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...

You might also read

Related Articles

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

Sort by
Same author

New-onset refractory status epilepticus/febrile infection-related epilepsy syndrome centers of excellence: A framework for coordinated care, research, and improved outcomes.

Epilepsia·2026
Same author

Reducing Time to Seizure Treatment in a Pediatric Intensive Care Unit Through Quality Improvement Methodology: Seizure to Rescue.

Neurology. Clinical practice·2026
Same author

Responsive neurostimulation in children, adolescents, and young Adults-Longitudinal effectiveness and safety.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics·2026
Same author

Methodology for the Pediatric Dose Optimization for Seizures in Emergency Medical Services (PediDOSE) study.

Trials·2025
Same author

Clinical outcomes following stereotactic MRI-guided laser ablation in children with tuberous sclerosis complex and intractable epilepsy.

Epilepsia·2025
Same author

De novo pathogenic CSF1R variant implicates microglial dysfunction in pathogenesis of febrile infection-related epilepsy syndrome.

Epilepsia·2025

Related Experiment Video

Updated: Jun 6, 2026

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

Seizure detection using digital trend analysis: Factors affecting utility.

Cigdem I Akman1, Vesna Micic, Anita Thompson

  • 1Department of Pediatrics, Section of Neurology and Developmental Neuroscience, Baylor College of Medicine, Houston, TX, United States. cia11@columbia.edu

Epilepsy Research
|December 15, 2010
PubMed
Summary
This summary is machine-generated.

Digital trend analysis (DTA) aids rapid seizure detection in critically ill children. Multimodal trending and interpreter experience enhance accuracy, but artifacts can be misidentified without conventional EEG review.

More Related Videos

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
09:16

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Published on: June 21, 2019

Related Experiment Videos

Last Updated: Jun 6, 2026

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

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
09:16

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Published on: June 21, 2019

Area of Science:

  • Neurophysiology
  • Critical Care Medicine
  • Pediatric Neurology

Background:

  • Electroencephalography (EEG) monitoring is crucial for early seizure detection in critically ill children.
  • Real-time EEG interpretation presents logistical challenges for neurophysiology and critical care teams.
  • Digital Trend Analysis (DTA) offers a potential solution for rapid seizure identification.

Purpose of the Study:

  • To evaluate factors influencing the utility of DTA for rapid seizure identification in pediatric critical care.
  • To compare the effectiveness of different DTA methods (Envelop Trend and Compressed Spectral Array) and their interaction with user experience.

Main Methods:

  • Retrieved digital EEG files of seizures in critically ill children for DTA.
  • Applied Envelop Trend (ET) and Compressed Spectral Array (CSA) to raw EEG data.
  • Interpreted DTA findings by experienced and inexperienced users, blinded to conventional EEG results.

Main Results:

  • Accurate seizure detection was influenced by interpreter experience, display size, and DTA method (ET, CSA, or combined).
  • Multimodal DTA (CSA and ET combined) improved seizure detection sensitivity, especially for experienced users.
  • Artifacts were misidentified as seizures without conventional EEG; seizure duration, spike amplitude, and frequency impacted accuracy.

Conclusions:

  • DTA creates a graphic display that facilitates seizure identification in pediatric critical care.
  • Seizure characteristics predict optimal DTA method, and multimodal trending enhances overall accuracy.
  • DTA, even without conventional EEG display, aids rapid interpretation, regardless of user experience.