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

1.2K
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:
1.2K

You might also read

Related Articles

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

Sort by
Same author

Complementary predictive value of electromagnetic source imaging and hemodynamic responses in epilepsy surgery: A quantitative spatial analysis.

Epilepsia·2026
Same author

Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

MsGCN: a multi-stream graph convolutional network for multiband PLV graph fusion in EEG-based biometric identification.

Frontiers in computational neuroscience·2026
Same author

Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations.

Nature communications·2026
Same author

Dual controllability de-differentiation of functional brain networks in major depressive disorder: Insights from large-scale neuroimaging and transcriptomic integration.

Journal of affective disorders·2026
Same author

Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach.

PLOS digital health·2026

Related Experiment Video

Updated: Dec 21, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.6K

Enhanced Regional Functional Connectivity Indicates Seizure Onset Zone.

Jianpo Su1,2, Nicolás von Ellenrieder3, Dewen Hu4

  • 1College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China. jianpo.su.nudt@gmail.com.

Brain Topography
|May 19, 2020
PubMed
Summary

Stronger functional connectivity (FC) in EEG/fMRI aligns with the seizure-onset-zone (SOZ). This finding improves noninvasive epilepsy diagnosis by identifying localized brain activity more accurately.

Keywords:
AsymmetryConcordanceEEG/fMRIFunctional connectivitySeizure onset zone

More Related Videos

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.4K
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

3.3K

Related Experiment Videos

Last Updated: Dec 21, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.6K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.4K
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

3.3K

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Epilepsy Research

Background:

  • Epilepsy diagnosis relies on identifying the seizure-onset-zone (SOZ).
  • Electroencephalography/functional Magnetic Resonance Imaging (EEG/fMRI) is a tool used to localize SOZ.
  • Functional connectivity (FC) analysis in EEG/fMRI may enhance SOZ localization accuracy.

Purpose of the Study:

  • To investigate if maximal Blood-Oxygen-Level-Dependent (BOLD) responses in EEG/fMRI exhibit stronger FC when concordant with the SOZ.
  • To explore the potential of FC asymmetry for improving noninvasive EEG/fMRI specificity in epilepsy patients.

Main Methods:

  • Analyzed EEG/fMRI data from 26 drug-resistant focal epilepsy patients.
  • Evaluated interictal epileptiform discharge (IED)-related maximal BOLD responses for concordance with SOZ.
  • Compared local and distant FC between concordant and discordant BOLD responses against contralateral regions and healthy subjects.

Main Results:

  • Significantly stronger local FC was observed in maximal BOLD responses concordant with the SOZ (p < 0.05, Bonferroni corrected).
  • 52% of concordant studies showed significant FC differences compared to healthy subjects, versus 13% in discordant studies.
  • An asymmetry in local FC was noted when maximal BOLD was concordant with the SOZ.

Conclusions:

  • Concordance between maximal BOLD response and SOZ is associated with stronger local functional connectivity.
  • This FC asymmetry may serve as a biomarker for improved noninvasive localization of the seizure-onset-zone.
  • Findings suggest enhanced specificity of EEG/fMRI analysis through functional connectivity evaluation.