A comparison of metrics for quantifying cranial suture complexity.

complexity mammal morphology morphometrics skull suture

Journal

Journal of the Royal Society, Interface
ISSN: 1742-5662
Titre abrégé: J R Soc Interface
Pays: England
ID NLM: 101217269

Informations de publication

Date de publication:
10 2020
Historique:
entrez: 7 10 2020
pubmed: 8 10 2020
medline: 22 6 2021
Statut: ppublish

Résumé

Cranial sutures play critical roles in facilitating postnatal skull development and function. The diversity of function is reflected in the highly variable suture morphology and complexity. Suture complexity has seldom been studied, resulting in little consensus on the most appropriate approach for comparative, quantitative analyses. Here, we provide the first comprehensive comparison of current approaches for quantifying suture morphology, using a wide range of two-dimensional suture outlines across extinct and extant mammals (

Identifiants

pubmed: 33023399
doi: 10.1098/rsif.2020.0476
pmc: PMC7653371
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

20200476

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/M009513/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 102889/Z/13/Z
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/ M009513/1
Pays : United Kingdom

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Auteurs

Heather E White (HE)

Department of Life Sciences, Natural History Museum, London SW7 5BD, UK.
Centre for Craniofacial and Regenerative Biology, King's College London SE1 9RT, UK.
Division of Biosciences, University College London WC1E 6DE, UK.

Julien Clavel (J)

Department of Life Sciences, Natural History Museum, London SW7 5BD, UK.
Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, F-69622, Villeurbanne, France.

Abigail S Tucker (AS)

Centre for Craniofacial and Regenerative Biology, King's College London SE1 9RT, UK.

Anjali Goswami (A)

Department of Life Sciences, Natural History Museum, London SW7 5BD, UK.
Division of Biosciences, University College London WC1E 6DE, UK.

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Classifications MeSH