Autor segons l'article: Del Bove A; Menéndez L; Manzi G; Moggi-Cecchi J; Lorenzo C; Profico A
Departament: Història i Història de l'Art
Autor/s de la URV: Lorenzo Merino, Carlos
Paraules clau: Geometric morphometric-analysis traits skulls skeletal remains population morphology forensic anthropology bone age
Resum: The study of sexual dimorphism in human crania has important applications in the fields of human evolution and human osteology. Current, the identification of sex from cranial morphology relies on manual visual inspection of identifiable anatomical features, which can lead to bias due to user's expertise. We developed a landmark-based approach to automatically map the sexual dimorphism signal on the human cranium. We used a sex-known sample of 228 individuals from different geographical locations to identify which cranial regions are most sexually dimorphic taking into account shape, form and size. Our results, which align with standard protocols, show that glabellar and supraciliary regions, the mastoid process and the nasal region are the most sexually dimorphic traits (with an accuracy of 73%). The accuracy increased to 77% if they were considered together. Surprisingly the occipital external protuberance resulted to be not sexually dimorphic but mainly related to variations in size. Our approach here applied could be expanded to map other variable signals on skeletal morphology.© 2023. Springer Nature Limited.
Àrees temàtiques: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Letras / linguística Interdisciplinar Geografía Geociências Farmacia Engenharias iv Engenharias iii Engenharias ii Enfermagem Educação física Educação Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: carlos.lorenzo@urv.cat
Identificador de l'autor: 0000-0001-5706-293X
Data d'alta del registre: 2024-06-15
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.nature.com/articles/s41598-023-43007-y
URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Scientific Reports. 13 (1): 16847-16847
Referència de l'ítem segons les normes APA: Del Bove A; Menéndez L; Manzi G; Moggi-Cecchi J; Lorenzo C; Profico A (2023). Mapping sexual dimorphism signal in the human cranium. Scientific Reports, 13(1), 16847-16847. DOI: 10.1038/s41598-023-43007-y
DOI de l'article: 10.1038/s41598-023-43007-y
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2023
Tipus de publicació: Journal Publications
Repositori URV