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Gyrification from constrained cortical expansion.

Tuomas Tallinen1, Jun Young Chung2, John S Biggins3

  • 1Department of Physics and Nanoscience Center, University of Jyväskylä, FI-40014 Jyväskylä, Finland;

Proceedings of the National Academy of Sciences of the United States of America
|August 20, 2014
PubMed
Summary
This summary is machine-generated.

Brain gyrification, the folding of the cerebral cortex, arises from mechanical instability. This process explains the diverse brain surface patterns observed across species and related developmental anomalies.

Keywords:
brain morphogenesiselastic instability

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Area of Science:

  • Neuroscience
  • Biophysics
  • Developmental Biology

Background:

  • The mammalian cerebral cortex exhibits a conserved layered structure with minimal thickness variation across species.
  • Evolutionary pressures have favored increased surface area to volume ratios, leading to significant brain convolution (gyrification) in many organisms.

Purpose of the Study:

  • To elucidate the mechanical principles underlying the formation of the convoluted cerebral cortex (gyrification).
  • To demonstrate how simple geometric parameters can explain the spectrum of brain gyrification patterns and associated anomalies.

Main Methods:

  • Investigated gyrification as a nonlinear consequence of mechanical instability in the cerebral cortex.
  • Utilized a physical model with a layered swelling gel to mimic the process.
  • Performed numerical simulations of the brain as a soft solid.

Main Results:

  • Demonstrated that tangential expansion of gray matter, constrained by white matter, drives gyrification.
  • The physical model and simulations successfully replicated the formation of cusped sulci and smooth gyri.
  • Gyrification patterns were shown to be dependent on relative cortical expansion and thickness, consistent with observed brain variations.

Conclusions:

  • The study presents a unified mechanical explanation for brain gyrification across mammalian species.
  • The findings provide a framework for understanding how variations in geometric parameters can lead to developmental brain anomalies like polymicrogyria and lissencephaly.