Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics
- Autores
- Barbeito Andrés, Jimena; Bonfili, Noelia; Nogué, Jordi Marcé; Bernal, Valeria; González, Paula Natalia
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Facultad de Ciencias Naturales y Museo - Materia
-
Ciencias Naturales
Antropología
Computed tomography
Endocast
Shape variation
Neurocranium - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/141451
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Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometricsBarbeito Andrés, JimenaBonfili, NoeliaNogué, Jordi MarcéBernal, ValeriaGonzález, Paula NataliaCiencias NaturalesAntropologíaComputed tomographyEndocastShape variationNeurocraniumBrain 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.Facultad de Ciencias Naturales y Museo2020-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf741-748http://sedici.unlp.edu.ar/handle/10915/141451enginfo:eu-repo/semantics/altIdentifier/issn/1279-8517info:eu-repo/semantics/altIdentifier/issn/0930-1038info:eu-repo/semantics/altIdentifier/doi/10.1007/s00276-020-02466-yinfo:eu-repo/semantics/altIdentifier/pmid/32266441info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:24:03Zoai:sedici.unlp.edu.ar:10915/141451Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:24:03.42SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics |
title |
Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics |
spellingShingle |
Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics Barbeito Andrés, Jimena Ciencias Naturales Antropología Computed tomography Endocast Shape variation Neurocranium |
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 |
dc.creator.none.fl_str_mv |
Barbeito Andrés, Jimena Bonfili, Noelia Nogué, Jordi Marcé Bernal, Valeria González, Paula Natalia |
author |
Barbeito Andrés, Jimena |
author_facet |
Barbeito Andrés, Jimena Bonfili, Noelia Nogué, Jordi Marcé Bernal, Valeria González, Paula Natalia |
author_role |
author |
author2 |
Bonfili, Noelia Nogué, Jordi Marcé Bernal, Valeria González, Paula Natalia |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Ciencias Naturales Antropología Computed tomography Endocast Shape variation Neurocranium |
topic |
Ciencias Naturales Antropología Computed tomography Endocast Shape variation Neurocranium |
dc.description.none.fl_txt_mv |
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. Facultad de Ciencias Naturales y Museo |
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. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/141451 |
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http://sedici.unlp.edu.ar/handle/10915/141451 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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openAccess |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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