Autor según el artículo: Guimerà, R.; Esteve-Altava, B.; Vallès-Català, T.; Sales-Pardo, M.; Rasskin-Gutman, D.
Departamento: Enginyeria Química
Autor/es de la URV: GUIMERA MANRIQUE, ROGER; Esteve-Altava, B.; Vallès-Català, T.; SALES PARDO, MARTA; Rasskin-Gutman, D.
Palabras clave: Craniosynostosis
Resumen: Craniosynostosis, the premature fusion of cranial bones, affects the correct development of the skull producing morphological malformations in newborns. To assess the susceptibility of each craniofacial articulation to close prematurely, we used a network model of the skull to quantify the link reliability (an index based on stochastic block models and Bayesian inference) of each articulation. We show that, of the 93 human skull articulations at birth, the few articulations that are associated with non-syndromic craniosynostosis conditions have statistically significant lower reliability scores than the others. In a similar way, articulations that close during the normal postnatal development of the skull have also lower reliability scores than those articulations that persist through adult life. These results indicate a relationship between the architecture of the skull and the specific articulations that close during normal development as well as in pathological conditions. Our findings suggest that the topological arrangement of skull bones might act as a structural constraint, predisposing some articulations to closure, both in normal and pathological development, also affecting the long-Term evolution of the skull.
Grupo de investigación: Science and Engineering of Emergent Systems
Áreas temáticas: Enginyeria química Ingeniería química Chemical engineering
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2045-2322
Identificador del autor: 0000-0002-3597-4310; ; ; 0000-0002-8140-6525;
Fecha de alta del registro: 2017-10-20
Volumen de revista: 7
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Programa de financiación: european; Marie Sk¿odowska-Curie grant; MC; 654155 plan; Ministerio de Economia y Competitividad de España; MINECO; MINECO-FEDERBFU2015-70927-R plan; Ministerio de Economia y Competitividad de España; MINECO; FIS2013-47532-C3-P1 plan; Ministerio de Economia y Competitividad de España; MINECO; FIS2016-78904-C3-P-1
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2017
Página inicial: 3376
Tipo de publicación: Article Artículo Article