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

Protein Networks02:26

Protein Networks

2.9K
2.9K
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

You might also read

Related Articles

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

Sort by
Same author

Magnetic resonance imaging based radiomics for predicting pathogenetic features and survival in rectal cancer.

Pathology oncology research : POR·2026
Same author

Foundations of Gerophysics.

Aging·2026
Same author

Improving Face Age Prediction by Using Multiple-Angle Photos.

Computational and structural biotechnology journal·2026
Same author

Physical Fitness Is Negatively Associated With DNA Methylation-Based Risk of Aging-Related Diseases.

Aging cell·2026
Same author

Human infants appreciate that information bears value for other individuals.

Scientific reports·2025
Same author

Autonomous AI Agents Discover Aging Interventions from Millions of Molecular Profiles.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Mar 7, 2026

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

1.6K

Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server

Balázs Szalkai1, Csaba Kerepesi1,2, Bálint Varga1

  • 1PIT Bioinformatics Group, Eötvös University, Budapest, 1117 Hungary.

Cognitive Neurodynamics
|February 9, 2017
PubMed
Summary

This study introduces version 3.0 of the Budapest Reference Connectome Server, offering consensus human brain connectomes derived from diffusion MRI data. These downloadable brain graphs represent an average healthy brain network, aiding neuroscience research.

Keywords:
Common edgesConnectomeConsensus connectomeReference connectome

More Related Videos

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

11.8K
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

6.0K

Related Experiment Videos

Last Updated: Mar 7, 2026

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

1.6K
Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

11.8K
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

6.0K

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Computational Biology

Background:

  • Macroscopic brain connections are mapped using diffusion MRI.
  • Comparing anatomic regions across brains reveals network differences.
  • Previous versions of the Budapest Reference Connectome Server established consensus braingraphs.

Purpose of the Study:

  • To report the construction of version 3.0 of the Budapest Reference Connectome Server.
  • To generate consensus human brain connectomes from a large dataset.
  • To provide downloadable and visualized brain network data.

Main Methods:

  • Utilized diffusion MRI data from 477 subjects in the Human Connectome Project 500-subject release.
  • Constructed 1015-vertex consensus braingraphs representing common network edges.
  • Developed a web server for accessing and visualizing consensus connectomes.

Main Results:

  • The server now provides consensus connectomes for parameterized subsets of subjects.
  • Consensus connectomes are available in CSV and GraphML formats.
  • The server visualizes these brain network graphs.

Conclusions:

  • The consensus connectomes represent an "average, healthy" human connectome.
  • The threshold for connection presence (k) is adjustable.
  • The Budapest Reference Connectome Server v3.0 facilitates comparative connectomics research.