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

You might also read

Related Articles

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

Sort by
Same author

Reconstruction of MRI from undersampled k-spaces of double-contrast volume acquisitions using deep neural networks.

Magnetic resonance imaging·2026
Same author

Sex-related structural alterations across common epilepsies: a worldwide ENIGMA study.

bioRxiv : the preprint server for biology·2026
Same author

Integrating natural language processing into radiation oncology: a practical guide to transformer architecture and large language models.

BJR artificial intelligence·2026
Same author

Editorial: Cognitive enhancement by brain stimulation techniques.

Frontiers in human neuroscience·2026
Same author

Abnormal functional connectivity patterns in temporal lobe epilepsy-An international ENIGMA-epilepsy study.

Epilepsia open·2026
Same author

Altered resting-state functional connectivity in delusional patients with schizophrenia or schizoaffective disorder: An fMRI study using threshold-free cluster-enhancement.

Psychiatry research. Neuroimaging·2026

Related Experiment Video

Updated: Mar 22, 2026

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

18.6K

MEG Coherence and DTI Connectivity in mTLE.

Mohammad-Reza Nazem-Zadeh1, Susan M Bowyer2, John E Moran2

  • 1Research Administration, Henry Ford Health System, Detroit, MI, 48202, USA. mnazemz1@hfhs.org.

Brain Topography
|April 10, 2016
PubMed
Summary

Magnetoencephalography (MEG) and Diffusion Tensor Imaging (DTI) reveal structural and functional brain changes in mesial temporal lobe epilepsy (mTLE). Combining these methods improves noninvasive lateralization of epileptogenicity.

Keywords:
CoherenceConnectivityDiffusion tensor imagingFiber tractsMagnetoencephalographyMesial temporal lobe epilepsyNodal degree

More Related Videos

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

11.9K
Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

3.1K

Related Experiment Videos

Last Updated: Mar 22, 2026

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

18.6K
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

11.9K
Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

3.1K

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Epilepsy Research

Background:

  • Mesial temporal lobe epilepsy (mTLE) is characterized by focal epileptiform activity.
  • Magnetoencephalography (MEG) and Diffusion Tensor Imaging (DTI) are noninvasive techniques used to study brain function and structure, respectively.
  • Understanding the relationship between functional and structural abnormalities in mTLE is crucial for effective treatment.

Purpose of the Study:

  • To investigate the relationship between cerebral functional abnormalities (MEG coherence) and structural abnormalities (DTI) in mTLE patients.
  • To assess the utility of combining MEG and DTI for noninvasive lateralization of epileptogenicity.

Main Methods:

  • Resting-state MEG data analyzed using MEG coherence source imaging (MEG-CSI) in 17 mTLE patients and 17 controls.
  • DTI tractography used to identify fiber tracts and calculate nodal degree and laterality indices.
  • Comparison of MEG coherence laterality and DTI nodal degree laterality with the declared side of epileptogenicity.

Main Results:

  • Significant differences in MEG coherence laterality and DTI nodal degree laterality between right and left mTLE were observed in several brain regions.
  • MEG coherence laterality correlated with DTI nodal degree laterality in the insular cortex.
  • Combined laterality indices improved lateralization accuracy to 94% for MEG coherence and 100% for DTI nodal degree.

Conclusions:

  • MEG and DTI can detect chronic microstructural and functional changes associated with epileptogenicity in mTLE.
  • The combined use of MEG and DTI offers a promising approach for noninvasive lateralization of focal epileptogenicity in mTLE.