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Developing, Testing and Optimising a Mouse Hindlimb Musculoskeletal Model

Authors :
Andrew J. Spence
John R. Hutchinson
James P. Charles
Dominic J. Wells
Ornella Cappellari
Source :
The FASEB Journal. 29
Publication Year :
2015
Publisher :
Wiley, 2015.

Abstract

Stability during locomotion arises from many complex interactions which are not yet fully understood. Studies into how sensory feedback from muscle spindles contributes to this have used neuromechanical simulations, however their accuracy is limited due to the lack of available physiological data. This presentation outlines the methods used to develop a musculoskeletal model of the mouse hindlimb, which will be used to predict responses to perturbations which occur with or without sensory feedback. The 3D musculoskeletal model, which represents bones, joints and 39 muscles of the mouse hindlimb, was created using SIMM (Musculographics, USA) through a combination of muscle architecture data and I2KI enhanced microCT scanning. Architecture data, such as muscle mass, pennation angle and fibre length were gathered from microdissections, while muscle geometry was determined using I2KI microCT scanning, a non-destructive method of determining muscle paths and attachment points. Muscle moment arms predicted by the model were found to agree with measured data from previous studies. In future work, in vivo optogenetics will be used to characterise changes in gait and muscle forces which occur in free running mice in response to induced neural and mechanical perturbations with or without sensory feedback from hindlimb muscles. These physiological data will be used to update and refine the musculoskeletal model.

Details

ISSN :
15306860 and 08926638
Volume :
29
Database :
OpenAIRE
Journal :
The FASEB Journal
Accession number :
edsair.doi...........80028fcb74bd637122a725a9f06b6e0e
Full Text :
https://doi.org/10.1096/fasebj.29.1_supplement.543.3