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This study introduces a new mechanistic model for brain folding, linking microscopic axonal growth to macroscopic white matter changes. This approach predicts more realistic brain structures, advancing understanding in neuroscience and developmental biology.

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Area of Science:

  • Neuroscience
  • Developmental Biology
  • Biophysics

Background:

  • Cortical folding is crucial for brain function but current models are limited.
  • Existing mathematical models often predict unrealistic, periodic folding patterns.
  • Understanding brain morphology is key in human evolution and neurodevelopment.

Purpose of the Study:

  • To establish a mechanistic model for cortical folding.
  • To link microscopic axonal growth to macroscopic white matter volume changes.
  • To predict more physiological brain morphologies.

Main Methods:

  • Developed a mechanistic model for cortical folding based on axonal growth.
  • Calibrated the model using chick sensory neuron axon elongation experiments.
  • Integrated the axonal growth model into a continuum model using diffusion spectrum imaging data.

Main Results:

  • Demonstrated that axonal growth rate explains in vitro axonal thinning and thickness restoration.
  • Showed that white matter anisotropy emerges from directional axonal growth.
  • Predicted less regular brain morphologies with regionally varying gyral wavelengths and sulcal depths.

Conclusions:

  • Mechanistic modeling of brain development offers a new approach to understanding cortical folding.
  • Directional axonal growth can intrinsically induce symmetry breaking, leading to physiological brain structures.
  • This model could link brain connectivity, anatomy, and function.