The influence of biophysical parameters in a biomechanical model of cortical folding patterns

Abstract Abnormal cortical folding patterns, such as lissencephaly, pachygyria and polymicrogyria malformations, may be related to neurodevelopmental disorders. In this context, computational modeling is a powerful tool to provide a better understanding of the early brain folding process. Recent stu...

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Autores principales:	Xiaoyu Wang, Julien Lefèvre, Amine Bohi, Mariam Al Harrach, Mickael Dinomais, François Rousseau
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/362da21382af412ea7a3fd8255576fbc
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spelling	oai:doaj.org-article:362da21382af412ea7a3fd8255576fbc2021-12-02T14:20:43ZThe influence of biophysical parameters in a biomechanical model of cortical folding patterns10.1038/s41598-021-87124-y2045-2322https://doaj.org/article/362da21382af412ea7a3fd8255576fbc2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87124-yhttps://doaj.org/toc/2045-2322Abstract Abnormal cortical folding patterns, such as lissencephaly, pachygyria and polymicrogyria malformations, may be related to neurodevelopmental disorders. In this context, computational modeling is a powerful tool to provide a better understanding of the early brain folding process. Recent studies based on biomechanical modeling have shown that mechanical forces play a crucial role in the formation of cortical convolutions. However, the effect of biophysical parameters in these models remain unclear. In this paper, we investigate the effect of the cortical growth, the initial geometry and the initial cortical thickness on folding patterns. In addition, we not only use several descriptors of the folds such as the dimensionless mean curvature, the surface-based three-dimensional gyrification index and the sulcal depth, but also propose a new metric to quantify the folds orientation. The results demonstrate that the cortical growth mode does almost not affect the complexity degree of surface morphology; the variation in the initial geometry changes the folds orientation and depth, and in particular, the slenderer the shape is, the more folds along its longest axis could be seen and the deeper the sulci become. Moreover, the thinner the initial cortical thickness is, the higher the spatial frequency of the folds is, but the shallower the sulci become, which is in agreement with the previously reported effects of cortical thickness.Xiaoyu WangJulien LefèvreAmine BohiMariam Al HarrachMickael DinomaisFrançois RousseauNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xiaoyu Wang Julien Lefèvre Amine Bohi Mariam Al Harrach Mickael Dinomais François Rousseau The influence of biophysical parameters in a biomechanical model of cortical folding patterns
description	Abstract Abnormal cortical folding patterns, such as lissencephaly, pachygyria and polymicrogyria malformations, may be related to neurodevelopmental disorders. In this context, computational modeling is a powerful tool to provide a better understanding of the early brain folding process. Recent studies based on biomechanical modeling have shown that mechanical forces play a crucial role in the formation of cortical convolutions. However, the effect of biophysical parameters in these models remain unclear. In this paper, we investigate the effect of the cortical growth, the initial geometry and the initial cortical thickness on folding patterns. In addition, we not only use several descriptors of the folds such as the dimensionless mean curvature, the surface-based three-dimensional gyrification index and the sulcal depth, but also propose a new metric to quantify the folds orientation. The results demonstrate that the cortical growth mode does almost not affect the complexity degree of surface morphology; the variation in the initial geometry changes the folds orientation and depth, and in particular, the slenderer the shape is, the more folds along its longest axis could be seen and the deeper the sulci become. Moreover, the thinner the initial cortical thickness is, the higher the spatial frequency of the folds is, but the shallower the sulci become, which is in agreement with the previously reported effects of cortical thickness.
format	article
author	Xiaoyu Wang Julien Lefèvre Amine Bohi Mariam Al Harrach Mickael Dinomais François Rousseau
author_facet	Xiaoyu Wang Julien Lefèvre Amine Bohi Mariam Al Harrach Mickael Dinomais François Rousseau
author_sort	Xiaoyu Wang
title	The influence of biophysical parameters in a biomechanical model of cortical folding patterns
title_short	The influence of biophysical parameters in a biomechanical model of cortical folding patterns
title_full	The influence of biophysical parameters in a biomechanical model of cortical folding patterns
title_fullStr	The influence of biophysical parameters in a biomechanical model of cortical folding patterns
title_full_unstemmed	The influence of biophysical parameters in a biomechanical model of cortical folding patterns
title_sort	influence of biophysical parameters in a biomechanical model of cortical folding patterns
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/362da21382af412ea7a3fd8255576fbc
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The influence of biophysical parameters in a biomechanical model of cortical folding patterns

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