Literature DB >> 26073723

Multidimensional models for predicting muscle structure and fascicle pennation.

Avleen Randhawa1, James M Wakeling2.   

Abstract

Pennation angles change during muscle contraction and must be tracked by muscle models. When muscles contract they can change in depth (distance between the bounding sheets of aponeurosis) or width, and this is related to pennation angle and muscle fascicle length. As a simplification to these relationships, many models of pennate muscle assume a constant distance between aponeuroses during contraction (constant depth). It is possible that these 1D models do not recreate the internal structure of muscles adequately, whereas 2D panel models that assume a constant panel area, or 3D models that assume a constant muscle volume may better predict the structural changes that occur within muscle during contraction. However, these ideas have never been validated in man. The purpose of this study was to test the accuracy with which 1D, 2D or 3D structural models of muscle could predict the pennation and muscle depth within the medial gastrocnemius (MG) and lateral gastrocnemius (LG) in man during ankle plantarflexions. The 1D model, by definition, was unable to account for changes in muscle depth. The 2D model predicted change in depth as the aponeurosis was loaded, but could only allow a decrease in depth as the aponeurosis is stretched. This was not sufficient to predict the increases in depth that occur in the LG during plantarflexion. The 3D model had the ability to predict either increases or decreases in depth during the ankle plantarflexions and predicted opposing changes in depth that occurred between the MG and LG, whilst simultaneously predicting the pennation more accurately than the 1D or 2D models. However, when using mean parameters, the 3D model performed no better than the more simple 1D model, and so if the intent of a model is purely to establish a good relation between fascicle length and pennation then the 1D model is a suitable choice for these muscles.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gastrocnemii; Muscle bulging; Muscle depth; Plantarflexion

Mesh:

Year:  2015        PMID: 26073723     DOI: 10.1016/j.jtbi.2015.06.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  6 in total

1.  The Energy of Muscle Contraction. II. Transverse Compression and Work.

Authors:  David S Ryan; Sebastián Domínguez; Stephanie A Ross; Nilima Nigam; James M Wakeling
Journal:  Front Physiol       Date:  2020-11-12       Impact factor: 4.566

2.  Modelling extracellular matrix and cellular contributions to whole muscle mechanics.

Authors:  Ryan N Konno; Nilima Nigam; James M Wakeling
Journal:  PLoS One       Date:  2021-04-02       Impact factor: 3.240

3.  A diffusion tensor-based method facilitating volumetric assessment of fiber orientations in skeletal muscle.

Authors:  Laura Secondulfo; Melissa T Hooijmans; Joep J Suskens; Valentina Mazzoli; Mario Maas; Johannes L Tol; Aart J Nederveen; Gustav J Strijkers
Journal:  PLoS One       Date:  2022-01-27       Impact factor: 3.240

4.  Three-dimensional geometrical changes of the human tibialis anterior muscle and its central aponeurosis measured with three-dimensional ultrasound during isometric contractions.

Authors:  Brent J Raiteri; Andrew G Cresswell; Glen A Lichtwark
Journal:  PeerJ       Date:  2016-07-28       Impact factor: 2.984

5.  Geometric models to explore mechanisms of dynamic shape change in skeletal muscle.

Authors:  Taylor J M Dick; James M Wakeling
Journal:  R Soc Open Sci       Date:  2018-05-16       Impact factor: 2.963

6.  Architectural model for muscle growth during maturation.

Authors:  Stefan Papenkort; Markus Böl; Tobias Siebert
Journal:  Biomech Model Mechanobiol       Date:  2021-07-24
  6 in total

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