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Minimum spanning tree analysis of the human connectome.

Edwin van Dellen1,2, Iris E Sommer3, Marc M Bohlken1

  • 1Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.

Human Brain Mapping
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Summary

Minimum Spanning Tree (MST) analysis provides a standardized method for comparing human brain networks. This approach reveals consistent structural connections, including crucial cortical-subcortical pathways, and tracks brain aging effects.

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brain networksdiffusion tensor imaginghubsminimum spanning treereference network

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Area of Science:

  • Neuroscience
  • Network Science
  • Medical Imaging

Background:

  • Comparing brain network organization across individuals is challenging due to variations in connection number and strength.
  • Existing methods often focus on cortical connections, potentially overlooking other significant pathways.

Purpose of the Study:

  • To introduce Minimum Spanning Tree (MST) analysis as a method for creating a standardized, empirical reference network for human brain structure.
  • To utilize this MST reference network as a null model for comparing individual brain network topology.

Main Methods:

  • Analysis of three diffusion-weighted imaging datasets from healthy adults.
  • Construction of a group-level MST from the mean connectivity matrix to serve as an empirical null model.
  • Comparison of individual subject MSTs against the reference MST.

Main Results:

  • Individual brain networks showed significant overlap (58%-88%) with the reference MST, indicating consistent structural backbones.
  • Identified hub nodes in the MST corresponded to known hub regions, including rich club nodes.
  • Cortical-subcortical connections were consistently found in the MST and enhanced network efficiency, suggesting their role in major neural communication.

Conclusions:

  • MST analysis offers an elegant and straightforward approach to characterizing structural brain networks.
  • The MST provides a robust empirical null model for comparing individual brain network topology.
  • MST characteristics can effectively index age-related changes in brain structure.