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Related Experiment Video

Updated: Aug 9, 2025

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

Using The Virtual Brain to study the relationship between structural and functional connectivity in patients with

Gerard Martí-Juan¹, Jaume Sastre-Garriga², Eloy Martinez-Heras³

¹Neuroradiology Group, Vall d'Hebron Research Institute (VHIR), Barcelona 08035, Spain.

Cerebral Cortex (New York, N.Y. : 1991)

|February 22, 2023

Summary

In multiple sclerosis (MS), higher structural and functional connectivity (SC-FC) coupling is linked to cognitive impairment. Brain simulations revealed compensatory mechanisms in MS not seen in empirical data.

Keywords:

MRI The Virtual Brain functional connectivity multiple sclerosis structural connectivity

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Last Updated: Aug 9, 2025

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

Published on: March 21, 2019

Area of Science:

Neuroscience
Medical Imaging
Computational Biology

Background:

The interplay between structural connectivity (SC) and functional connectivity (FC) in multiple sclerosis (MS) and its impact on cognitive function remains unclear.
Magnetic resonance imaging (MRI) provides SC and FC data, but integrating this with clinical data requires advanced modeling.

Purpose of the Study:

To investigate the relationship between SC and FC in people with MS (pwMS) using The Virtual Brain (TVB) simulator.
To explore how SC-FC coupling relates to cognitive impairment and disability in pwMS.

Main Methods:

Utilized The Virtual Brain (TVB), an open-source brain simulator, to create personalized brain models for 513 pwMS and 208 healthy controls (HC).
Modeled two regimes: stable and oscillatory (including conduction delays), analyzing SC-FC coupling against structural damage, diffusion properties, clinical disability, and cognitive scores (SDMT).
Compared simulated and empirical FC using graph-derived metrics and entropy analysis.

Main Results:

Higher SC-FC coupling correlated with lower cognitive scores (SDMT) in pwMS, indicating a link between cognitive impairment and connectivity coupling.
Brain simulations detected differences in functional connectivity entropy between HC and different SDMT groups in pwMS, which were not apparent in empirical FC data.
These findings suggest the brain employs compensatory and maladaptive mechanisms to manage SC-FC interactions in MS.

Conclusions:

The TVB model successfully captured subtle SC-FC relationship differences in MS, highlighting its potential for understanding disease mechanisms.
Cognitive impairment in MS is associated with altered SC-FC coupling, potentially reflecting underlying compensatory or maladaptive neural processes.
This study underscores the utility of computational modeling in revealing complex brain dynamics in neurological disorders like MS.