On Early Brain Folding Patterns Using Biomechanical Growth Modeling

Xiaoyu Wang1, Amine Bohi2, Mariam Al Harrach3, Mickael Dinomais4, Julien Lefevre5, François Rousseau6

  • 1IMT Atlantique, LaTIM U1101 INSERM, UBL, Brest, France
  • 2Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone, Marseille
  • 3UTC
  • 4Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LAR
  • 5Institut de Neurosciences de la Timone
  • 6Telecom Bretagne

Details

09:30 - 09:45 | Wed 24 Jul | M1 - Level 3 | WeA09.5

Session: Data-Driven Model Construction

Abstract

Abnormal cortical folding patterns may be related to neurodevelopmental disorders such as lissencephaly and polymicrogyria. 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 correlation between simulation results and biological facts, and the effect of physical parameters in these models remain unclear. In this paper, we propose a new brain longitudinal length growth model to improve brain model growth. In addition, we investigate the effect of the initial cortical thickness on folding patterns, quantifying the folds by the surface-based three-dimensional gyrification index and a spectral analysis of gyrification. The results tend to show that the use of such biomechanical models could highlight the links between neurodevelopmental diseases and physical parameters.