Isogeometric Analysis of the Gray-Scott Reaction-Diffusion Equations for Pattern Formation on Evolving Surfaces and Applications to Human Gyrification

TL;DR

This paper introduces an Isogeometric Analysis-based numerical scheme for modeling pattern formation on evolving surfaces, specifically applied to human brain gyrification, offering a smooth and realistic geometric representation.

Contribution

The paper presents a novel IgA-based method for simulating pattern formation on evolving manifolds, improving geometric smoothness and realism over traditional finite-element approaches.

Findings

Successfully reproduces complex brain surface patterns

Provides smooth manifold reconstructions using bicubic spline-functions

Offers an alternative to classical finite-element methods for pattern evolution

Abstract

We propose a numerical scheme based on the principles of Isogeometric Analysis (IgA) for a geometrical pattern formation induced evolution of manifolds. The development is modelled by the use of the Gray-Scott equations for pattern formation in combination with an equation for the displacement of the manifold. The method forms an alternative to the classical finite-element method. Our method is based on partitioning the initially spherical geometry into six patches, which are mapped onto the six faces of a cube. Major advantages of the new formalism are the reconstruction of the manifold based on bicubic spline-functions used for the computation of the concentrations as well as the evolution of the mapping operator. These features give a smooth representation of the manifold which, in turn, may lead to more realistic results. The method successfully reproduces the smooth but complicated geometrical patterns found on the surface of human brains.