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

Engineering Human Donor Derived Germinal Center-Like Organoids (GCLOs) for Studying Immune Response to Vaccination.

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

Incidence of Drug-Induced Liver Injury in the Urban Primary Care Setting.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association·2026
Same author

Static and dynamic intracerebral signal analysis reveals protective networks against seizures in drug-resistant focal epilepsy.

Brain communications·2026
Same author

Special issue: Progress in medical and health technologies for diagnosis, intervention, and care.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026
Same author

A Framework Integrating Spiking Cortical Circuit Modeling and Simulation-Based Inference to Probe Biomarkers of Cortical Dysfunction in Alzheimer's Disease.

Interdisciplinary sciences, computational life sciences·2026
Same author

Autologous cell therapy with CD133+ bone marrow-derived stem cells for Asherman Syndrome: a phase 1/2 trial.

Nature communications·2026

Related Experiment Video

Updated: Oct 10, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.2K

High Frequential Resolution Networks: Considerations on a New Functional Brain Connectivity Framework.

Victor Rodriguez-Gonzalez, Victor Gutierrez-de Pablo, Carlos Gomez

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    This study introduces High Frequential Resolution Networks (HFRNs) to improve brain network connectivity analysis. HFRNs offer a more detailed frequency-based view of brain interactions than traditional methods.

    More Related Videos

    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
    08:36

    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

    Published on: March 21, 2019

    7.4K
    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

    1.2K

    Related Experiment Videos

    Last Updated: Oct 10, 2025

    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
    09:44

    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

    Published on: March 8, 2024

    5.2K
    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
    08:36

    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

    Published on: March 21, 2019

    7.4K
    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

    1.2K

    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Signal Processing

    Background:

    • Brain network connectivity analysis commonly uses broad frequency bands (delta, theta, alpha, beta, gamma).
    • This traditional approach can introduce bias by overlooking individual brain variability and specific within-band connectivity patterns.

    Purpose of the Study:

    • To address limitations in traditional brain connectivity analysis.
    • To introduce High Frequential Resolution Networks (HFRNs) for a more nuanced assessment of brain network interactions.

    Main Methods:

    • HFRNs were developed using a narrow-bandwidth FIR filter (1 Hz bandwidth).
    • Analysis included two connectivity metrics: Amplitude Envelope Correlation (AEC) and Phase Lag Index (PLI).
    • Data from three MEG and EEG recording databases were utilized.

    Main Results:

    • A strong correlation was observed between the frequency evolution of PLI, AEC, and Power Spectral Density (PSD) in both MEG and EEG signals.
    • Technical considerations include excluding 50 Hz from gamma band analysis due to filter artifacts, minimal variation with connection distance, and the impact of low sampling frequency.

    Conclusions:

    • HFRNs provide a novel framework for analyzing brain connectivity.
    • This method allows for a more detailed, frequency-specific distribution analysis of brain networks, overcoming limitations of classical frequency bands.