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

Neuroplasticity01:01

Neuroplasticity

267
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
267

You might also read

Related Articles

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

Sort by
Same author

Laplacian spectrum constrains collective performance enhancement.

Physical review. E·2026
Same author

Coexistence of many positive invariant sets in several classes of dynamical systems.

Chaos (Woodbury, N.Y.)·2026
Same author

Neural symphony of flow experience: Evidence for high-dimensional metastable dynamics.

NeuroImage·2026
Same author

Fuzzy reinforcement learning synchronization of stochastic dynamic networks: An adaptive event-triggered strategy.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Bipartite Containment of Second-Order Multiagent Systems With Compound Noise Under Fixed or Markovian Switching Signed Topology.

IEEE transactions on cybernetics·2026
Same author

Community structure unveils the path multiplicity in complex networks.

Nature communications·2026

Related Experiment Video

Updated: May 24, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.1K

Functional Brain Network Alterations Against Scaling.

Abdelrahman B M Eldaly, Guanrong Chen, Leanne Lai-Hang Chan

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    This study uses complex network theory to analyze functional brain networks from resting-state fMRI data. Findings reveal conserved network properties across scales, with variations in degree and betweenness.

    More Related Videos

    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    971
    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

    17.9K

    Related Experiment Videos

    Last Updated: May 24, 2025

    A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
    09:01

    A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

    Published on: May 7, 2014

    10.1K
    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    971
    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

    17.9K

    Area of Science:

    • Neuroscience
    • Network Science
    • Computational Biology

    Background:

    • The human brain's complex functional network involves billions of neurons and trillions of connections.
    • Understanding brain network organization is crucial for neuroscience and related fields.
    • Complex networks theory offers robust methods for analyzing intricate systems like the brain.

    Purpose of the Study:

    • To investigate the features of functional brain networks using complex networks theory.
    • To analyze resting-state functional magnetic resonance imaging (fMRI) data at various spatial resolutions.
    • To identify statistical, structural, and dynamic properties of brain networks.

    Main Methods:

    • Utilized complex networks theory and methodologies.
    • Analyzed a large resting-state fMRI dataset.
    • Examined brain networks at multiple spatial resolutions.

    Main Results:

    • The resting-state functional brain network exhibits broad-scale distribution.
    • The network displays small-world and scale-free features, along with community structure.
    • Network degree and betweenness varied significantly across different scales.
    • Most other complex brain-network measures remained largely conserved.

    Conclusions:

    • Functional brain networks possess conserved properties across various spatial scales.
    • Specific network metrics like degree and betweenness show scale-dependent variations.
    • Complex networks theory provides valuable insights into brain functional organization.