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Axon tension, not just differential growth, can drive brain fold locations. This study introduces a new model showing axon tension as a key factor in cortical folding patterns.

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Area of Science:

  • Neuroscience
  • Developmental Biology
  • Computational Biology

Background:

  • Cortical folding is crucial for brain development, creating species- and individual-specific brain structures.
  • Existing computational models, primarily based on differential growth, struggle to explain the precise locations of cortical folds.
  • The axon tension hypothesis offers a potential explanation, but its role in gyrification remains controversial.

Purpose of the Study:

  • To investigate the role of axonal tension in cortical folding by developing a novel computational model.
  • To integrate the axon tension hypothesis with the differential growth theory to better understand gyrification.
  • To determine if axonal tension can influence the location and pattern of cortical folds.

Main Methods:

  • Developed a novel bi-layered finite element model.
  • Incorporated both differential cortical growth and characteristic axonal tension in the subcortex.
  • Simulated the effects of axonal tension and geometric perturbations on cortical folding patterns.

Main Results:

  • Axon tension acts as a perturbation that can trigger buckling and determine fold locations.
  • Axon tension can overpower typical thickness perturbations, dictating fold placement.
  • Heterogeneity in axon stiffness significantly alters cortical folding patterns, highlighting the importance of white matter connectivity.

Conclusions:

  • Axon tension is a critical factor in determining the location of cortical folds, complementing differential growth theories.
  • Computational models incorporating axon tension provide new insights into the mechanisms of gyrification.
  • Further research into the role of axon connectivity in brain development and folding is warranted.