ArticleSurgical and radiologic anatomy : SRA2020
Modeling the effect of brain growth on cranial bones using finite-element analysis and geometric morphometrics.
Article in Surgical and radiologic anatomy : SRA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 15 citations in OpenAlex.
- When Virchow's law fails: Crouzon syndrome as a test case for quantitative suture closure-endocranial shape relationships.Journal of anatomy · 2026Article
- Computational simulation of cranial soft tissue expansion on the cranium during early postnatal growth in humans.Journal of anatomy · 2026Article
- The influence of closed sutures on cranial morphology in Apert and Crouzon syndromes: A quantitative analysis.Journal of anatomy · 2026Article
- A mechanical model based on watermelons for the study of dynamic cranial remolding orthoses.Scientific reports · 2025Article
- Uniaxial tensile material properties of adult Chinese dura mater: investigating the influence of age, sex, and anatomical site.Frontiers in bioengineering and biotechnology · 2025Article
- Allometry of human calvaria bones during development from birth to 8 years of age shows a nonlinear growth pattern.Scientific reports · 2024Article
- The biomechanics of chewing and suckling in the infant: A potential mechanism for physiologic metopic suture closure.PLoS computational biology · 2023Article
- A study of 285 cases of cranial vault suture closure in Chinese adults.Surgical and radiologic anatomy : SRA · 2022Article
- Using Sensitivity Analysis to Develop a Validated Computational Model of Post-operative Calvarial Growth in Sagittal Craniosynostosis.Frontiers in cell and developmental biology · 2021Article
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
Abstract
purposeBrain 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.
methodsFirst, 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.
resultsResults 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.
conclusionIn sum, we propose a realistic approach to the use of FEA based on morphometric data that offered different results to more simplified models.
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