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

Unraveling Patterns in mTLE: A DWI-Centric and Machine Learning Investigation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Neuroimaging abnormalities in functional/dissociative seizures: a meta-analysis.

Neuroscience and biobehavioral reviews·2025
Same author

Development and validation of clinico-imaging machine learning and deep learning models to predict responses to initial antiseizure medications in epilepsy.

Epilepsia·2025
Same author

Investigating topological alterations in procedural memory network across neuropsychiatric disorders using rs-fMRI and graph theory.

BMC neuroscience·2025
Same author

Altered effective connectivity in cortico-striatal pathways during sentence processing and oral motors in Parkinson's disease.

Cortex; a journal devoted to the study of the nervous system and behavior·2025
Same author

Spatio-temporal independent component classification for localization of seizure onset zone.

Frontiers in neurology·2025

Related Experiment Video

Updated: Jul 8, 2025

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

18.1K

Dynamic Functional Connectivity Analysis Using Network-Based Brain State Identification, Application on Temporal Lobe

Alireza Fallahi, Seyed Sohrab Hashemi-Fesharaki, Narges Hoseini-Tabatabaei

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    Summary

    This study reveals distinct dynamic brain states in epilepsy. Temporal lobe epilepsy (TLE) patients show altered brain network connectivity and state transitions compared to healthy individuals.

    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

    11.2K
    Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
    09:32

    Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

    Published on: December 18, 2016

    12.4K

    Related Experiment Videos

    Last Updated: Jul 8, 2025

    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

    18.1K
    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

    11.2K
    Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
    09:32

    Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

    Published on: December 18, 2016

    12.4K

    Area of Science:

    • Neuroscience
    • Brain Network Dynamics
    • Epilepsy Research

    Background:

    • Epilepsy is a neurological disorder characterized by abnormal neuronal discharges and brain dysfunction.
    • Brain function relies on dynamic intra- and inter-regional functional connectivity (FC), which is non-stationary due to the BOLD signal.
    • Understanding dynamic brain network alterations is crucial for epilepsy diagnosis and treatment.

    Purpose of the Study:

    • To investigate dynamic brain states and their properties in temporal lobe epilepsy (TLE) using network-based analyses.
    • To compare dynamic brain network characteristics between healthy controls and TLE patients (left and right TLE).
    • To examine the lateralization of brain network differences within TLE.

    Main Methods:

    • Utilized functional connectivity (FC) analyses to characterize dynamic brain states.
    • Employed dwelling time, transition time, and brain network connections within states as key dynamic features.
    • Compared these dynamic features between healthy controls, left TLE, and right TLE groups.

    Main Results:

    • Significant differences in dwelling time and transition time were observed between healthy controls and both left and right TLE groups.
    • Significant differences in brain network connections within dynamic states were found between left TLE and right TLE patients.
    • These findings highlight altered dynamic brain network properties in TLE.

    Conclusions:

    • Dynamic brain network analysis effectively differentiates TLE patients from healthy controls.
    • TLE is associated with significant alterations in the temporal dynamics of brain network states.
    • Observed differences in network connectivity between left and right TLE suggest lateralization effects.