Computational models of cortical folding: A review of common approaches

Darayi, Mohsen; Hoffman, Mia E.; Sayut, John; Wang, Shuolun; Demirci, Nagehan; Consolini, Jack; Holland, Maria A.

doi:10.1016/j.jbiomech.2021.110851

Cited by 13 publications

(5 citation statements)

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“…To numerically study the effect of the VZ and the OSVZ on the resulting folding pattern, we simulate human brain development by using the finite element method. The influence of various factors on the emergence of cortical folds can be best shown on a simple two-dimensional (2D) quarter-circular geometry ( Darayi et al, 2022 ), as illustrated in Figure 2A . In addition, we also investigate the folding evolution on a simplified half-sphere three-dimensional (3D) geometry.…”

Section: Modelmentioning

confidence: 99%

Exploring the role of the outer subventricular zone during cortical folding through a physics-based model

Zarzor

Blümcke²,

Budday

2023

eLife

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The human brain has a highly complex structure both on the microscopic and on the macroscopic scales. Increasing evidence has suggested the role of mechanical forces for cortical folding – a classical hallmark of the human brain. However, the link between cellular processes at the microscale and mechanical forces at the macroscale remains insufficiently understood. Recent findings suggest that an additional proliferating zone, the outer subventricular zone (OSVZ), is decisive for the particular size and complexity of the human cortex. To better understand how the OSVZ affects cortical folding, we establish a multifield computational model that couples cell proliferation in different zones and migration at the cell scale with growth and cortical folding at the organ scale by combining an advection-diffusion model with the theory of finite growth. We validate our model based on data from histologically stained sections of the human fetal brain and predict 3D pattern formation. Finally, we address open questions regarding the role of the OSVZ for the formation of cortical folds. The presented framework not only improves our understanding of human brain development, but could eventually help diagnose and treat neuronal disorders arising from disruptions in cellular development and associated malformations of cortical development.

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Section: Modelmentioning

confidence: 99%

Exploring the role of the outer subventricular zone during cortical folding through a physics-based model

Zarzor

Blümcke²,

Budday

2023

eLife

View full text Add to dashboard Cite

show abstract

“…To numerically study the effect ofthe ventricular zone (VZ) and the outer subventricular zone (OSVZ) on the resulting folding pattern, we simulate human brain development by using the finite element method. The influence of various factors on the emergence of cortical folds can be best shown on a simple two-dimensional quarter-circular geometry Darayi (2021) , as illustrated in Figure 2A. In the following, we introduce the main equations describing the coupling between cellular mechanisms in different proliferating zones and cortical folding, which we solve numerically.…”

Section: Computational Modelmentioning

confidence: 99%

Exploring the role of the outer subventricular zone during cortical folding through a physics-based model

Zarzor

Blümcke

Budday

2022

Preprint

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The human brain has a highly complex structure both on the microscopic and macroscopic scales. Increasing evidence has emphasized the role of mechanical forces for cortical folding – a classical hallmark of the human brain. However, the link between cellular processes at the microscale and mechanical forces at the macroscale remains insufficiently understood. Recent findings suggest that an additional proliferating zone, the outer subventricular zone (OSVZ), is decisive for the particular size and complexity of the human cortex. To better understand how the OSVZ affects cortical folding, we establish a multifield computational model that couples cell proliferation and migration at the cell scale with growth and cortical folding at the organ scale by combining an advection-diffusion model with the theory of finite growth. We validate our model based on data from histologically stained sections of the human fetal brain. Finally, we address open questions regarding the role of the OSVZ for the formation of cortical folds. The presented framework not only improves our understanding of human brain development, but could eventually help diagnose and treat neuronal disorders arising from disruptions in cellular development and associated malformations of cortical development.

show abstract

“…Recently, finite element simulations have made promising advances in understanding the process of brain development. [34][35][36][37][38][39] Simulations can not only provide quantitative information about stress, for instance, which is difficult to measure experimentally, but when combined with experiments, they can help to identify and evaluate potential mechanisms of folding. 40,41 However, the complexity of brain tissue is a challenge for the accuracy of finite element models.…”

Section: Introductionmentioning

confidence: 99%