On early brain folding patterns using biomechanical growth modeling

Autor: Mariam Al Harrach, François Rousseau, Amine Bohi, Julien Lefèvre, Mickael Dinomais, Xiaoyu Wang
Přispěvatelé: Département lmage et Traitement Information (IMT Atlantique - ITI), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire de Traitement de l'Information Medicale (LaTIM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Rousseau, François, Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut National de la Santé et de la Recherche Médicale (INSERM)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Brain modeling
0301 basic medicine
[SCCO.COMP]Cognitive science/Computer science
FOS: Physical sciences
Lissencephaly
Context (language use)
Solid modeling
Biology
03 medical and health sciences
0302 clinical medicine
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Polymicrogyria
medicine
Spectral analysis
Physics - Biological Physics
Physical Examination
Gyrification
ComputingMilieux_MISCELLANEOUS
[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Brain model
[SCCO.NEUR]Cognitive science/Neuroscience
Biological system modeling
Brain
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
[SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph]
Computational modeling
Models
Theoretical

medicine.disease
Magnetic Resonance Imaging
Physics - Medical Physics
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Folding (chemistry)
030104 developmental biology
Biological Physics (physics.bio-ph)
Quantitative Biology - Neurons and Cognition
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
FOS: Biological sciences
Three-dimensional displays
Neurons and Cognition (q-bio.NC)
Medical Physics (physics.med-ph)
Neuroscience
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Simulation
030217 neurology & neurosurgery
Zdroj: EMBC 2019 : 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
EMBC 2019 : 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jul 2019, Berlin, Germany. pp.146-149, ⟨10.1109/EMBC.2019.8856670⟩
EMBC
EMBC 2019 : 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jul 2019, Berlin, Germany. ⟨10.1109/EMBC.2019.8856670⟩
2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jul 2019, Berlin, Germany. pp.146-149, ⟨10.1109/EMBC.2019.8856670⟩
DOI: 10.1109/EMBC.2019.8856670⟩
Popis: 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.
Comment: 4 pages, 4 figures, 41st EMB Conference
Databáze: OpenAIRE