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Global excitability and network structure in the human brain.

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  • 1Department of Physics and Astronomy, University of Calgary, Calgary, Alberta T2N 1N4, Canada and Hotchkiss Brain Institute, University of Calgary, T2N 4N1 Calgary, Canada.

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The human brain balances low wiring costs with strong functionality. Brain network topology uniquely enables a rapid shift from inactive to globally excited states, revealing key structure-function insights.

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Area of Science:

  • Computational neuroscience
  • Network science
  • Human connectomics

Background:

  • Understanding the relationship between brain structure and function is crucial for neuroscience.
  • Human connectome data provides a basis for modeling brain network dynamics.

Purpose of the Study:

  • To investigate structure-function relationships in the human brain using computational models.
  • To explore correlations between global network excitability and structural properties.

Main Methods:

  • Simulations of Wilson-Cowan oscillators applied to human connectome data.
  • Analysis of spontaneous brain network dynamics for different network sizes.
  • Comparison of biological networks with shuffled networks to assess topological importance.

Main Results:

  • Established relationships between global network excitability and structural quantities.
  • Identified a trade-off between low network wiring cost and strong functionality in the brain.
  • Demonstrated the unique capacity of brain network topologies for a sharp transition to global excitation.

Conclusions:

  • Brain networks exhibit an optimal balance between efficiency and functional capacity.
  • Network topology plays a critical role in enabling rapid state transitions in brain activity.