Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics

Brain expansion during ontogeny has been identified as a key factor for explaining the growth pattern of neurocranial bones. However, the dynamics of this relation are only partially understood and a detailed characterization of integrated morphological changes of the brain and the neurocranium alon...

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Autores principales: Barbeito Andrés, Jimena, Bonfili, Noelia, Nogué, Jordi Marcé, Bernal, Valeria, González, Paula Natalia
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Naturales
Antropología
Computed tomography
Endocast
Shape variation
Neurocranium
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/141451
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-141451
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Naturales
Antropología
Computed tomography
Endocast
Shape variation
Neurocranium
spellingShingle Ciencias Naturales
Antropología
Computed tomography
Endocast
Shape variation
Neurocranium
Barbeito Andrés, Jimena
Bonfili, Noelia
Nogué, Jordi Marcé
Bernal, Valeria
González, Paula Natalia
Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics
topic_facet Ciencias Naturales
Antropología
Computed tomography
Endocast
Shape variation
Neurocranium
description Brain expansion during ontogeny has been identified as a key factor for explaining the growth pattern of neurocranial bones. However, the dynamics of this relation are only partially understood and a detailed characterization of integrated morphological changes of the brain and the neurocranium along ontogeny is still lacking. The aim of this study was to model the effect of brain growth on cranial bones by means of finite-element analysis (FEA) and geometric morphometric techniques. First, we described the postnatal changes in brain size and shape by digitizing coordinates of 3D semilandmarks on cranial endocasts, as a proxy of brain, segmented from CT-scans of an ontogenetic sample. Then, two scenarios of brain growth were simulated: one in which brain volume increases with the same magnitude in all directions, and other that includes the information on the relative expansion of brain regions obtained from morphometric analysis. Results indicate that in the first model, in which a uniform pressure is applied, the largest displacements were localized in the sutures, especially in the anterior and posterior fontanels, as well as the metopic suture. When information of brain relative growth was introduced into the model, displacements were also concentrated in the lambda region although the values along both sides of the neurocranium (parietal and temporal bones) were larger than under the first scenario. In sum, we propose a realistic approach to the use of FEA based on morphometric data that offered different results to more simplified models.
format Articulo
Articulo
author Barbeito Andrés, Jimena
Bonfili, Noelia
Nogué, Jordi Marcé
Bernal, Valeria
González, Paula Natalia
author_facet Barbeito Andrés, Jimena
Bonfili, Noelia
Nogué, Jordi Marcé
Bernal, Valeria
González, Paula Natalia
author_sort Barbeito Andrés, Jimena
title Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics
title_short Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics
title_full Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics
title_fullStr Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics
title_full_unstemmed Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics
title_sort modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/141451
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