The role of mechanics during brain development

Area of Science:

• Neuroscience
• Biophysics
• Developmental Biology

Background:

• Brain surface morphology, characterized by convolutions, is linked to intelligence and neurological dysfunction.
• The mechanisms driving cortical folding remain poorly understood.
• Key anatomical factors influencing folding include cortical thickness, stiffness, and growth.

Purpose of the Study:

• To elucidate the underlying mechanisms of cortical folding in mammalian brains.
• To model the critical conditions and complex patterns of cortical folding.
• To provide mechanistic interpretations for brain malformations and their diagnostic implications.

Main Methods:

• Derived an analytical model using Föppl-von-Kármán theory to estimate critical folding parameters.
• Established a computational model based on the continuum theory of finite growth for predicting realistic morphologies.
• Validated computational predictions against analytical estimates and observed complex folding patterns.

Main Results:

• Analytical modeling provided initial insights into folding onset conditions.
• Computational modeling accurately predicted complex, asymmetric surface morphologies and secondary folds.
• Both models explained the correlation between brain size and convolution complexity.
• Mechanistic interpretations for lissencephaly and polymicrogyria were provided.

Conclusions:

• Cortical thickness, stiffness, and growth are critical determinants of brain folding.
• Advanced modeling techniques can predict complex brain surface morphologies.
• Understanding cortical folding mechanisms is crucial for diagnosing neurological disorders like epilepsy and autism.