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 Experiment Videos

Progress in predicting seizure episodes with nonlinear methods.

John R Hughes1

  • 1Department of Neurology, University of Illinois Medical Center (M/C 796), 912 South Wood Street, Chicago, IL 60612, USA. jhuges@uic.edu

Epilepsy & Behavior : E&B
|December 19, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A novel abuse liability assessment of e-cigarettes in young adults ii: Reinforcement enhancement and follow-up assessment.

Experimental and clinical psychopharmacology·2023
Same author

Potential effects of nicotine content in cigarettes on use of other substances.

Preventive medicine·2022
Same author

The interactive effects of JUUL flavor and nicotine concentration on addiction potential.

Experimental and clinical psychopharmacology·2022
Same author

A systematic review and meta-analysis of interventions to induce attempts to quit tobacco among adults not ready to quit.

Experimental and clinical psychopharmacology·2022
Same author

Subsuming general practice into acute NHS services is a red herring.

BMJ (Clinical research ed.)·2022
Same author

Cumulative vulnerabilities as a potential moderator of response to reduced nicotine content cigarettes.

Preventive medicine·2021
Same journal

Preictal reduction in heart rate variability entropy is associated with functional/dissociative seizures and provides modest discrimination from epileptic seizures.

Epilepsy & behavior : E&B·2026
Same journal

Impaired autobiographical remembering and future thinking in temporal lobe epilepsy.

Epilepsy & behavior : E&B·2026
Same journal

Anti-seizure medication in Germany over 25 years: trends in prices and prescription patterns from national data from 2000 to 2024.

Epilepsy & behavior : E&B·2026
Same journal

Development of a human-artificial intelligence collaboration-based storybook series for understanding epilepsy and supporting self-management.

Epilepsy & behavior : E&B·2026
Same journal

Preconception care for women with epilepsy: a cross-sectional study comparing community and perinatal-certified pharmacists.

Epilepsy & behavior : E&B·2026
Same journal

Cognitive outcomes following surgical resection in tumoral temporal lobe epilepsy: a scoping review.

Epilepsy & behavior : E&B·2026
See all related articles

Predicting seizures from preictal activity using nonlinear methods shows limited progress. While some studies offer prediction times, significant advancements in earlier seizure forecasting remain constrained.

Area of Science:

  • Epileptology
  • Clinical Neurophysiology
  • Nonlinear Dynamics

Background:

  • Seizure prediction from preictal activity is a significant area in epileptology.
  • Nonlinear methods offer potential for both heuristic and utilitarian value in seizure management.

Purpose of the Study:

  • To review the progress in predicting seizure onset from preictal activity using nonlinear methods.
  • To assess advancements in prediction timing over time.

Main Methods:

  • A chronological review of 47 reports from 12 centers and single reports from 21 other centers.
  • Analysis focused on the ability to provide specific prediction times for seizure onset.

Main Results:

  • Only 21% of reviewed reports provided specific seizure prediction times, ranging from minutes to hours (median 6-7 minutes).

Related Experiment Videos

  • 16% of reports had negative or nonspecific findings, unable to provide prediction times.
  • Limited overall progress in earlier seizure prediction has been observed.

    • Conclusions:

    • Despite challenges, nonlinear methods have shown some success in studying seizure prediction and related phenomena.
    • Further research is needed to improve the accuracy and timeliness of seizure onset prediction.