Evidence map›Paper›PMID 23614944›Full record

ArticleJournal of the Royal Society, Interface2013

The importance of accurate muscle modelling for biomechanical analyses: a case study with a lizard skull.

Flora Gröning, Marc E H Jones, Neil Curtis, Anthony Herrel, Paul O'Higgins, Susan E Evans, Michael J Fagan

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 103 citations in OpenAlex.

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  11. From fibre to function: are we accurately representing muscle architecture and performance?Biological reviews of the Cambridge Philosophical Society · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Flora GröningDepartment of Engineering, Medical and Biological Engineering Research Group, University of Hull, Hull, UK. f.groening@hull.ac.uk
Marc E H Jones
Neil Curtis
Anthony Herrel
Paul O'Higgins
Susan E Evans
Michael J Fagan
Hull York Medical School · GBUniversity College London · GBUniversity of Hull · GBÉco-Anthropologie · FR

Funding

Biotechnology and Biological Sciences Research Council BB/E007465Biotechnology and Biological Sciences Research Council BB/E007813Biotechnology and Biological Sciences Research Council BB/E009204Biotechnology and Biological Sciences Research Council BB/H011390/1Biotechnology and Biological Sciences Research Council BB/H011668/1Biotechnology and Biological Sciences Research Council BB/H011854/1
6 · The paper itself

Abstract

Computer-based simulation techniques such as multi-body dynamics analysis are becoming increasingly popular in the field of skull mechanics. Multi-body models can be used for studying the relationships between skull architecture, muscle morphology and feeding performance. However, to be confident in the modelling results, models need to be validated against experimental data, and the effects of uncertainties or inaccuracies in the chosen model attributes need to be assessed with sensitivity analyses. Here, we compare the bite forces predicted by a multi-body model of a lizard (Tupinambis merianae) with in vivo measurements, using anatomical data collected from the same specimen. This subject-specific model predicts bite forces that are very close to the in vivo measurements and also shows a consistent increase in bite force as the bite position is moved posteriorly on the jaw. However, the model is very sensitive to changes in muscle attributes such as fibre length, intrinsic muscle strength and force orientation, with bite force predictions varying considerably when these three variables are altered. We conclude that accurate muscle measurements are crucial to building realistic multi-body models and that subject-specific data should be used whenever possible.

Indexed as

AnimalsBiomechanical PhenomenaBite ForceBody Weights and MeasuresComputer SimulationLizardsModels, AnatomicMuscle, SkeletalSkull

Identifiers

PMID23614944
PMCPMC3673157
OpenAlexW2144108952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.