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

Functions of Connective Tissues01:17

Functions of Connective Tissues

16.8K
Connective tissues perform a broad range of functions in the body. Their primary function is to connect and link different tissues in the body and act as packaging material between tissues. The areolar tissue, a connective tissue prototype, commonly cements various tissue types in diverse body organs. In contrast, adipose tissue cushions internal organs while insulating the body from heat loss.
Hard connective tissues, such as bones and cartilage, provide structure and support to the body.
16.8K
Network Function of a Circuit01:25

Network Function of a Circuit

712
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
712
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Lobes of the Cerebrum01:22

Lobes of the Cerebrum

4.7K
The cerebral cortex, a critical structure of the brain, is intricately divided into two hemispheres, each consisting of four distinct lobes: occipital, temporal, frontal, and parietal. These lobes function cooperatively to regulate various cognitive and sensory functions, forming the basis of our complex neural capabilities.
Frontal lobe
The frontal lobes, located behind the forehead, are the command center of our brain, controlling personality, intelligence, and voluntary muscle movements....
4.7K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Alterations in Respiration II01:30

Alterations in Respiration II

1.8K
There are numerous types of normal and abnormal respiration. Based on ventilatory movements, breathing patterns are classified as regular, deep, or shallow. Examples include Biot's breathing, Cheyne-Stokes respiration, Kussmaul's breathing, hyperventilation, and hypoventilation. Each pattern is clinically significant and aids in evaluating patients.
In Biot's breathing, the respiratory rate and depth are irregular, alternating between periods of deep gasping and apnea. Common causes...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Neural Correlates of Diagnostic-Relevant Emotional Processing in Schizophrenia and Major Depressive Disorder: Insights from a Replication of fMRI and Self-Report Scales.

Journal of integrative neuroscience·2026
Same author

The distinct effects of metabolic syndrome on negative symptoms and on antipsychotic therapy of schizophrenia involve insular volume, functional connectivity, and genetic polymorphisms.

Translational psychiatry·2026
Same author

Disgust Propensity, Not Disgust Sensitivity, Shapes the Reactivity of a Subjective Disgust Circuit in Humans.

Human brain mapping·2026
Same author

Exploring the Impact of Dance Training on the Structural Plasticity of Empathy-Related Brain Networks.

Neural plasticity·2026
Same author

Dynamic brain connectivity patterns induced by oxytocin: An fMRI Co-Activation pattern analysis study.

Molecular psychiatry·2026
Same author

Multi-Site Classification of Autism Spectrum Disorder Using Spatially Constrained ICA on Resting-State fMRI Networks.

Brain sciences·2026

Related Experiment Video

Updated: Feb 4, 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

18.5K

Altered Dynamic Functional Network Connectivity in Frontal Lobe Epilepsy.

Benjamin Klugah-Brown1, Cheng Luo2, Hui He1

  • 1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and technology, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu, 610054, People's Republic of China.

Brain Topography
|September 27, 2018
PubMed
Summary

Frontal lobe epilepsy (FLE) patients show disrupted brain connectivity over time. Dynamic functional network connectivity analysis reveals altered communication in the frontoparietal system, impacting seizure onset.

Keywords:
Double regressionDynamic functional network connectivityDynamic functional state interactionFrontal lobe epilepsyResting-state fMRI

More Related Videos

Author Spotlight: Studying Clinical Characters and Epilepsy Outcomes After Frontal Disconnection in Patients with MOGHE
06:04

Author Spotlight: Studying Clinical Characters and Epilepsy Outcomes After Frontal Disconnection in Patients with MOGHE

Published on: August 16, 2024

1.6K
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

12.9K

Related Experiment Videos

Last Updated: Feb 4, 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

18.5K
Author Spotlight: Studying Clinical Characters and Epilepsy Outcomes After Frontal Disconnection in Patients with MOGHE
06:04

Author Spotlight: Studying Clinical Characters and Epilepsy Outcomes After Frontal Disconnection in Patients with MOGHE

Published on: August 16, 2024

1.6K
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

12.9K

Area of Science:

  • Neuroscience
  • Epilepsy Research
  • Brain Connectivity

Background:

  • Frontal lobe epilepsy (FLE) is increasingly linked to disrupted brain functional connectivity.
  • Temporal and spatial variations in resting-state networks (RSNs) in FLE are not well understood.

Purpose of the Study:

  • To investigate dynamic functional network connectivity (dFNC) patterns in temporal and spatial domains within FLE.
  • To explore functional system interactions and temporal dynamics in FLE patients compared to controls.

Main Methods:

  • Acquired resting-state fMRI data from 19 FLE patients and 18 healthy controls.
  • Utilized independent component analysis to define RSNs, grouped into seven functional systems.
  • Applied sliding window and clustering techniques to identify dFNC patterns and dynamic functional state interactions (dFSIs).

Main Results:

  • FLE patients exhibited decreased dFNC across most patterns, primarily involving the frontoparietal system's communication with other networks.
  • Patients spent less time in a fundamental connectivity state (state 3), with reduced duration correlating positively with seizure onset.
  • Reduced dynamic connections were observed in the frontoparietal system, linked to cerebellar and subcortical systems, indicating dysconnectivity.

Conclusions:

  • FLE is characterized by abnormal fundamental dynamic interactions and dysconnectivity in frontoparietal regions, involving subcortical and cerebellar regulation.
  • Altered dynamic functional connectivity provides new insights into the pathophysiological mechanisms underlying frontal lobe epilepsy.
  • Dynamic FNC analysis reveals temporal abnormalities among functional states in FLE, enhancing understanding of frontoparietal system dysfunction.