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

1.3K
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:
1.3K
Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

1.1K
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...
1.1K

You might also read

Related Articles

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

Sort by
Same author

FlowSDE: a flow-matching-based SDE framework for predicting state transitions.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same author

Evaluating the biological meaning of neural network decisions in EEG-based MCI detection.

Journal of neural engineering·2026
Same author

Burden and Forecast of Early-Onset Colorectal Cancer (1990-2038) in Five East Asian Populations: A Systematic Analysis Based on the GBD 2023 Study.

Cancer medicine·2026
Same author

A geometry aware framework enhances noninvasive mapping of whole human brain dynamics.

Nature biomedical engineering·2026
Same author

Elucidating temporal variations in non-volatile metabolites during black tea rolling process via metabolomics combined with multivariate statistical analysis.

Food chemistry·2026
Same author

17β-Estradiol alleviates cognitive deficits by modulating fear memory reconsolidation in a PTSD rat model.

Psychopharmacology·2026

Related Experiment Video

Updated: Jan 9, 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

3.4K

Hypergraph Regularized Dynamic Model Enhances Seizure Onset Detection and Epileptogenic Zone Localization.

Jiahao Tang, Zhichao Liang, Song Wang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary

    This study introduces a novel Hypergraph-Regularized (HyRe) Dynamic Model to improve seizure stage classification and epileptogenic zone (EZ) localization in drug-resistant epilepsy (DRE) using intracranial electroencephalography (iEEG) data.

    More Related Videos

    Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note
    05:54

    Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note

    Published on: June 13, 2016

    17.9K
    Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
    08:20

    Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

    Published on: June 6, 2015

    15.8K

    Related Experiment Videos

    Last Updated: Jan 9, 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

    3.4K
    Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note
    05:54

    Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note

    Published on: June 13, 2016

    17.9K
    Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
    08:20

    Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

    Published on: June 6, 2015

    15.8K

    Area of Science:

    • Neuroscience
    • Computational Biology
    • Medical Engineering

    Background:

    • Accurate identification of epileptogenic zones (EZ) is critical for successful epilepsy surgery in drug-resistant epilepsy (DRE).
    • Traditional methods using intracranial electroencephalography (iEEG) data often miss complex, higher-order functional interactions crucial for understanding seizure dynamics.
    • Existing graph-based approaches may not fully capture network-level dependencies beyond simple pairwise connections.

    Purpose of the Study:

    • To develop and validate a novel dynamic model integrating temporal dependencies and hypergraph-based connectivity for improved seizure modeling.
    • To enhance the accuracy of seizure stage classification and epileptogenic zone (EZ) localization in drug-resistant epilepsy (DRE).
    • To introduce a framework that captures complex network interactions in iEEG data.

    Main Methods:

    • Proposed the Hypergraph-Regularized (HyRe) Dynamic Model, incorporating temporal dynamics and hypergraph connectivity.
    • Validated the HyRe model on three public epilepsy datasets: CHB-MIT Scalp EEG, Epilepsy iEEG Multicenter Dataset, and HUP iEEG Dataset.
    • Computed neural fragility and Source-Sink Index (SSI) for EZ localization using HyRe-estimated parameters, comparing with existing methods.

    Main Results:

    • The HyRe model demonstrated improved seizure stage classification accuracy across the tested datasets.
    • HyRe-derived neural fragility and SSI provided effective epileptogenic zone (EZ) localization.
    • The proposed method showed comparable or superior performance to existing techniques for EZ identification.

    Conclusions:

    • Hypergraph-regularized dynamic models offer a promising framework for precise seizure dynamics modeling in drug-resistant epilepsy (DRE).
    • This approach has the potential to significantly aid clinical decision-making in epilepsy surgery.
    • The HyRe model enhances the understanding of complex network interactions in iEEG data for improved patient outcomes.