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dc.creatorSáez, Pabloes_ES
dc.creatorDuñó, C.es_ES
dc.creatorSun, L.Y.es_ES
dc.creatorAntonovaite, N.es_ES
dc.creatorMalvè, Mauroes_ES
dc.creatorTost, D.es_ES
dc.creatorGoriely, A.es_ES
dc.date.accessioned2020-07-07T17:21:16Z
dc.date.issued2020
dc.identifier.issn0020-7403
dc.identifier.urihttps://hdl.handle.net/2454/37312
dc.description.abstractUnderstanding brain mechanics is crucial in the study of pathologies involving brain deformations such as tumor, strokes, or in traumatic brain injury. Apart from the intrinsic mechanical properties of the brain tissue, the topology and geometry of the mammalian brains are particularly important for its mechanical response. We use computational methods in combination with geometric models to understand the role of these features. We find that the geometric quantifiers such as the gyrification index play a fundamental role in the overall mechanical response of the brain. We further demonstrate that topological diversity in brain models is more important than differences in mechanical properties: Topological differences modify not only the stresses and strains in the brain but also its spatial distribution. Therefore, computational brain models should always include detailed geometric information to generate accurate mechanical predictions. These results suggest that mammalian brain gyrification acts as a damping system to reduce mechanical damage in large-mass brain mammals. Our results are relevant in several areas of science and engineering related to brain mechanics, including the study of tumor growth, the understanding of brain folding, and the analysis of traumatic brain injuries.en
dc.description.sponsorshipP.S has been supported by the Generalitat de Catalunya under grants 2017-SGR-1278. N.A acknowledge funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007–2013)/ERC grant agreement no. [615170]. This work was supported by a Engineering and Physical Sciences Research Council grant to Alain Goriely (EP/R020205/1).en
dc.format.extent17 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevier
dc.relation.ispartofInternational Journal of Mechanical Sciences 187 (2020) 105914en
dc.rights© 2019 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBrain shapeen
dc.subjectAnimal-scale lawsen
dc.subjectBrain mechanicsen
dc.subjectFinite element methoden
dc.titleTopological features dictate the mechanics of the mammalian brainsen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingenieríaes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Ingeniaritza Sailaeu
dc.rights.accessRightsAcceso embargado / Sarbidea bahitua dagoes
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccessen
dc.embargo.lift2022-12-01
dc.embargo.terms2022-12-01
dc.identifier.doi10.1016/j.ijmecsci.2020.105914
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/615170en
dc.relation.publisherversionhttps://doi.org/10.1016/j.ijmecsci.2020.105914
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


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© 2019 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0.
Except where otherwise noted, this item's license is described as © 2019 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0.