Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/EMBC.2019.8856670 | 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Keywords | Field | DocType |
Brain,Magnetic Resonance Imaging,Models, Theoretical,Physical Examination | Gyrification,Computer vision,Neuroscience,Lissencephaly,Length growth,Polymicrogyria,Artificial intelligence,Spectral analysis,Brain model,Mathematics | Conference |
Volume | ISSN | ISBN |
2019 | 1557-170X | 978-1-5386-1312-2 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoyu Wang | 1 | 0 | 0.34 |
| Amine Bohi | 2 | 0 | 0.34 |
| Mariam Al Harrach | 3 | 0 | 0.34 |
| Mickaël Dinomais | 4 | 0 | 1.69 |
| Julien Lefèvre | 5 | 32 | 7.22 |
| Francois Rousseau | 6 | 121 | 16.81 |