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Related Experiment Videos

The connectivity of the brain: multi-level quantitative analysis

J M Murre1, D P Sturdy

  • 1Medical Research Council, Applied Psychology Unit, Cambridge, United Kingdom.

Biological Cybernetics
|November 1, 1995
PubMed
Summary

We developed a mathematical model to understand brain wiring. Modular and exterior packing best explain human brain structure, while different strategies may apply to other species like mice.

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Area of Science:

  • Computational Neuroscience
  • Neuroanatomy
  • Mathematical Modeling

Background:

  • Understanding brain connectivity and neuronal organization is crucial for neuroscience.
  • Previous models often simplified the complex interplay between neuronal topology and physical packing.

Purpose of the Study:

  • To develop a mathematical framework for calculating brain connectivity volumes based on topology and physical packing.
  • To compare model predictions with human neuroanatomical data across different brain regions and scales.
  • To investigate interspecies differences in brain organization.

Main Methods:

  • Developed a mathematical formalism to model connectivity volumes considering four topologies (full, random, nearest-neighbor, modular).
  • Incorporated three physical packing strategies: interior, sheeted, and exterior.
  • Utilized extensive human neuroanatomical data to derive consistent parameters for the whole brain, cerebral cortex, and cerebellar cortex.

Main Results:

  • Exterior packing is more efficient than interior packing for spheres.
  • Fully and randomly connected topologies are inefficient for the human brain.
  • Modular topologies with exterior packing best fit macro-structural human brain data.
  • Laminarization and columnarization (sheeted packing) are efficient at the mesostructural level.
  • Interior models are most efficient within sheets at the microstructural level.
  • Interspecies comparison suggests evolution minimizes interneuron distance in grey matter.
  • Random topology may be feasible for mouse cortex, unlike human brain.

Conclusions:

  • Human brain organization at different scales employs distinct topologies and packing strategies.
  • Modular and exterior packing are favored at the macro-scale, while sheeted and interior packing dominate at meso- and micro-scales.
  • Interspecies variations in brain topology, such as the feasibility of random connectivity in mice, highlight evolutionary adaptations.

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