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Brain Imaging

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...

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Related Experiment Video

Updated: Sep 29, 2025

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

Explosive Synchronization-Based Brain Modulation Reduces Hypersensitivity in the Brain Network: A Computational Model

MinKyung Kim^1,2, Richard E Harris³, Alexandre F DaSilva⁴

¹Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United States.

Frontiers in Computational Neuroscience

|March 21, 2022

Summary

This summary is machine-generated.

Researchers found that increasing local connectivity in brain hubs can shift fibromyalgia

Keywords:

brain network control brain network model brain stimulation chronic pain explosive synchronization hypersensitivity state transition stimulation

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Area of Science:

Neuroscience
Computational Neuroscience
Medical Physics

Background:

Fibromyalgia (FM) is a chronic pain disorder marked by hypersensitivity to stimuli, widespread pain, and fatigue.
Explosive synchronization (ES) is a proposed mechanism for the hypersensitive brain networks observed in FM.
Current treatments for FM lack targeted network-based mechanisms.

Purpose of the Study:

To investigate brain network modulation strategies for reducing hypersensitivity in FM.
To identify methods for converting explosive synchronization (ES) to general synchronization (GS) in brain models.

Main Methods:

Constructed a large-scale brain network model near criticality, simulating conscious wakefulness.
Modulated local structural connectivity and signal randomness in targeted brain regions.
Compared network sensitivity to global stimuli before and after modulation.

Main Results:

Increasing local connectivity of hub regions effectively shifted the network from ES to GS.
This shift significantly reduced the network's sensitivity to external stimuli.
Other modulations, including altering signal randomness or decreasing local connectivity, were ineffective.

Conclusions:

Targeted enhancement of local connectivity in brain hubs offers a potential mechanism-based approach to reduce FM hypersensitivity.
This finding may inform the development of novel neuromodulation therapies for fibromyalgia.
Brain network dynamics near criticality are crucial for understanding and treating sensory hypersensitivity disorders.