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

Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

1.7K
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...
1.7K
Seizures: Classification01:13

Seizures: Classification

2.3K
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:
2.3K
Antiepileptic Drugs: Modulators of Neurotransmitter Release Mediated by SV2A Protein01:20

Antiepileptic Drugs: Modulators of Neurotransmitter Release Mediated by SV2A Protein

1.2K
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...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Detection, localization, and measurement of endotracheal tube positioning on adults' chest X-ray: developing a prediction model.

Scientific reports·2026
Same author

Camystat: a high-throughput open-source software tool analysis of contractile cardiomyocytes recordings.

Cardiovascular research·2026
Same author

Adult Neurogenesis in Neurodegenerative Diseases: Mechanisms of Dysregulation in Alzheimer's and Parkinson's Disease.

International journal of molecular sciences·2026
Same author

Acute Disseminated Encephalomyelitis (ADEM): Current View into Etiopathogenesis and Clinical Features.

Brain sciences·2026
Same author

Myoclonus in Pediatric Metabolic Diseases: Clinical Spectrum, Mechanisms, and Treatable Causes-A Systematic Review.

Metabolites·2026
Same author

Artificial Intelligence for Detecting Aortic Arch Calcification on Chest Radiographs: A Systematic Review.

Diagnostics (Basel, Switzerland)·2026
Same journal

Neurologists' Views on the Management of Uncontrolled Epilepsy in Spain: A Preliminary Survey.

Neurology and therapy·2026
Same journal

Polypharmacy, Potential Drug-Drug Interactions and Medication Non-Adherence in Patients with Multiple Sclerosis: A Longitudinal Study.

Neurology and therapy·2026
Same journal

AQP4-IgG Dynamics and Exploratory Assessment of SERA-3 in Neuromyelitis Optica Spectrum Disorder Treated with Satralizumab.

Neurology and therapy·2026
Same journal

Steroid-Sparing Effect of Efgartigimod in Generalized Myasthenia Gravis: Study Protocol for a Single-Arm, Open-Label Clinical Trial.

Neurology and therapy·2026
Same journal

Screening on the Paretic Side is Superior for Detecting Possible Sarcopenia in Individuals After Chronic Stroke: Preliminary Findings.

Neurology and therapy·2026
Same journal

Extended Preoperative Immunotherapy Duration Reduces the Risk of Myasthenia Gravis Exacerbation for Patients with Thymoma: A Multicenter Retrospective Cohort Study.

Neurology and therapy·2026
See all related articles

Related Experiment Video

Updated: Apr 13, 2026

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
09:57

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

3.9K

Artificial Intelligence and Machine Learning in Pediatric Epilepsy: A Systematic Review.

Emilia Malik1, Michał Wizner1, Julia I Karpierz1

  • 1Students' Scientific Society, Pediatric Neurology Department, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland.

Neurology and Therapy
|April 11, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) tools show high accuracy in interpreting electroencephalogram (EEG) data, especially for seizure detection. However, limited patient data restricts the reliability of current AI models for widespread clinical use.

Keywords:
Childhood seizuresEEGMachine learningNeonatesSeizure detectionSeizure prediction

More Related Videos

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
10:22

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

21.4K
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

9.5K

Related Experiment Videos

Last Updated: Apr 13, 2026

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
09:57

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

3.9K
Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
10:22

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

21.4K
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

9.5K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Clinical Data Analysis

Background:

  • Artificial intelligence (AI) tools are increasingly used for clinical data interpretation.
  • Evaluating the progress and proficiency of AI models in this domain is crucial.
  • Identifying limitations of current AI research is essential for future development.

Purpose of the Study:

  • To assess the advancements in AI tools for clinical data interpretation.
  • To compare the performance of different AI models.
  • To identify proficient AI models and their limitations.

Main Methods:

  • A systematic literature search was conducted across three databases.
  • Studies were screened and evaluated by at least three independent reviewers.
  • Eligibility criteria were applied to identify relevant research.

Main Results:

  • Convolutional neural networks and support vector machines were prominent AI approaches.
  • AI-driven seizure detection demonstrated performance comparable to specialists.
  • Applications span epilepsy syndrome detection, EEG surveillance, and neonatal monitoring.

Conclusions:

  • AI models exceed 90% accuracy in distinguishing normal from abnormal EEG.
  • Automated seizure detection is a primary clinical application.
  • Limited cohort sizes (<100 patients) hinder reliability; large-scale validation is needed.