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

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

You might also read

Related Articles

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

Sort by
Same author

EEG connectivity changes in early response to antidepressant treatment.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same author

Resting-state EEG alpha-BOLD coupling spatially follows cortical cell-type and receptor gradients.

bioRxiv : the preprint server for biology·2026
Same author

Replication challenges in linking personality to resting-state functional connectomics.

Frontiers in computational neuroscience·2026
Same author

Brain causality alterations in major depressive disorder treatment.

Frontiers in psychiatry·2026
Same author

Corrigendum to "From ancient fears to airborne threats: fMRI insights into neural fear responses" [Brain Cogn. 191 (2025) 106371].

Brain and cognition·2026
Same author

Ion dynamics underlying the seizure delay effect of low-frequency electrical stimulation.

PLoS computational biology·2025
Same journal

The Relevance of a Philosophical Toolkit to Advance Neuroscience.

The European journal of neuroscience·2026
Same journal

The Brain Response to Reflectional Symmetry Is Not Uniquely Preattentive.

The European journal of neuroscience·2026
Same journal

The Design of Music Rhythm-Based Optical-Magnetic Stimulator and Its Study on LTP/LTD in the CA1 Region of the Hippocampus.

The European journal of neuroscience·2026
Same journal

The Inspiring Journeys of Women in Science.

The European journal of neuroscience·2026
Same journal

Gaining Insight Into the Nonfocality of Beta Oscillation Suppression Along the Sensorimotor Cortex Using Corticomuscular Coherence.

The European journal of neuroscience·2026
Same journal

Human Steering Control Under Unpredictable Disturbances.

The European journal of neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 20, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Using computational models to relate structural and functional brain connectivity.

Jaroslav Hlinka1, Stephen Coombes

  • 1Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod Vodarenskou vezi 271/2, 182 07 Prague 8, Czech Republic. hlinka@cs.cas.cz

The European Journal of Neuroscience
|July 19, 2012
PubMed
Summary
This summary is machine-generated.

This study models how local neural population dynamics shape brain functional connectivity. Changes in these dynamics can explain altered connectivity seen in diseases.

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

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

Related Experiment Videos

Last Updated: May 20, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

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

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Network Science

Background:

  • Modern imaging reveals brain connectivity alterations in disease.
  • The mechanisms driving these functional connectivity changes remain unclear.
  • Understanding local neural dynamics is key to explaining network-level alterations.

Purpose of the Study:

  • To explore how local neural population dynamics influence emergent functional connectivity patterns.
  • To investigate the role of structural connectivity in shaping functional networks.
  • To develop a theoretical framework for understanding disease-related connectivity changes.

Main Methods:

  • Utilized a modeling approach with Wilson-Cowan type local dynamics.
  • Incorporated realistic (CoComac database) and idealized structural connectivity patterns.
  • Calculated graph-theoretic measures of functional network topology from simulations.

Main Results:

  • Demonstrated a significant dependence of functional connectivity patterns on local dynamics parameters.
  • Quantified the impact of local dynamics by correlating structural and functional connectivity.
  • Developed a weakly coupled oscillator theory to explain observed correlations.

Conclusions:

  • Local neural population dynamics play a critical role in shaping functional brain connectivity.
  • The developed theory offers a novel mechanism to understand functional connectivity breakdown in diseases.
  • This approach provides insights into how altered local dynamics can lead to network dysfunction.