Brain gyrification and simulations

The advantages of brain gyrification are well established, but the mechanisms behind this process are yet matter of discussion. However, early this month, a group of researchers published two models for brain gyrification based on the mechanical stress generated by the differential growth of the cortical layer. They created a physical model of a brain in three steps: (1) 3D printing a plastic replica from a MRI of a smooth fetal brain; (2) build a silicon negative mould to cast the core of a gel brain, which would represent the white matter; and after cooled, (3)  deposited the same gel polymer in the surface of the core to form the cortical layer. These polymer layers act as elastic solids. The mimicking of fetal brain growth was accomplished by placing the gel brain in a substrate of hexanes that would cause swelling and differential growth of the outer cortical layer, in respect to the core of the model. Starting from the same MRI, they also built a numerical model based on finite element and parameters like cortical thickness, brain growth and tissue stiffness, creating functions for folding and unfolding simulations. The combined results of the physical and numerical simulations showed that the pattern of gyrification depends on the overall shape of the brain, and the primary sulci are formed perpendicularly to the largest compressive stress. Their models are robust and reproducible, capturing the main gyral scheme and even account for variability and hemispherical differences. Furthermore, when comparing the simulated brain to a real one, they were able to find a correspondence with all the primary folds.

Sofia Pedro

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