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Developing, Testing and Optimising a Mouse Hindlimb Musculoskeletal Model
Author(s) -
Charles James,
Cappellari Ornella,
Spence Andrew,
Wells Dominic,
Hutchinson John
Publication year - 2015
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.29.1_supplement.543.3
Subject(s) - hindlimb , gait , anatomy , computer science , biomedical engineering , physical medicine and rehabilitation , medicine
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 I 2 KI enhanced microCT scanning. Architecture data, such as muscle mass, pennation angle and fibre length were gathered from microdissections, while muscle geometry was determined using I 2 KI 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.