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Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
Published on: July 7, 2023
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Graph theory analysis reveals an assortative pain network vulnerable to attacks.
Biorxiv : the Preprint Server for Biology
|March 22, 2023
Summary
This study mapped the brain's pain network using graph theory, revealing a dense, interconnected structure. Targeting key brain areas could offer new ways to alleviate pain signals.
Area of Science:
- Neuroscience
- Network Science
Background:
- The neural basis of pain involves a complex network of brain regions.
- Understanding the structural connectivity of this pain network is crucial for deciphering pain perception.
Approach:
- Graph theory was employed to analyze a comprehensive structural pain network comprising 49 cortical and subcortical brain areas.
- Network metrics including clustering coefficient, community detection, assortativity, and robustness were calculated.
Key Points:
- The pain network exhibits dense connectivity with 63% of areas having reciprocal connections.
- Two subnetworks, mediating sensory and affective pain components, were identified.
- The network is assortative and robust to local failures but vulnerable to targeted attacks on hub nodes.
Conclusions:
- Graph theory reveals an assortative structural pain network for processing nociceptive information.
- The network's vulnerability to attacks suggests potential therapeutic strategies targeting hub brain regions to manage pain.
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