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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Modularity and community detection in human brain morphology.

Tim Schuurman1, Emiliano Bruner1

  • 1Centro Nacional de Investigación sobre la Evolución Humana, Burgos, Spain.

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Summary

Human brain anatomy exhibits modularity, with distinct longitudinal and vertical partitions. These brain organization patterns align with the skull

Keywords:
morphological integrationnetwork theoryspatial constraintstopology

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Area of Science:

  • Neuroscience
  • Anatomical network analysis
  • Evolutionary biology

Background:

  • Human brain morphology is complex and subject to physical constraints.
  • Anatomical network analysis helps study these constraints and their evolutionary implications.
  • Modularity, the concerted evolution of element groups, is a key concept in this analysis.

Purpose of the Study:

  • To assess modularity in the human brain's anatomical network.
  • To identify phenotypic patterns in brain morphology topology.
  • To investigate the relationship between brain and skull organization.

Main Methods:

  • Applied community detection algorithms to a human brain anatomical network model.
  • Analyzed network partitions to reveal modular structures.
  • Compared brain topology with cranial bone structure.

Main Results:

  • Identified simultaneous longitudinal and vertical modular partitions in human brain topology.
  • These partitions correspond to the organization of the braincase (endocranial fossae, cranial base, and vault).
  • Demonstrated a reciprocal relationship between brain and skull spatial organization.

Conclusions:

  • Human brain topology exhibits distinct modular organization, influenced by cranial constraints.
  • This modularity may guide evolutionary and developmental trajectories of both brain and skull.
  • Findings provide a basis for comparative network analysis across species.