ArticleScientific reports2021
A three-dimensional musculoskeletal model of the dog.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Physiotherapy enhances gait stability in a forelimb-amputated dog undergoing postoperative radiotherapy: a case report.BMC veterinary research · 2025Article
- Effects of spinal transection and locomotor speed on muscle synergies of the cat hindlimb.The Journal of physiology · 2025Article
- Surgical approaches to canine appendicular osteosarcoma part 1- anatomic landmarks and amputation techniques.Frontiers in veterinary science · 2025Review
- Prevalence and location of myofascial trigger points in dogs with osteoarthritis.Frontiers in veterinary science · 2025Article
- Role of forelimb morphology in muscle sensorimotor functions during locomotion in the cat.The Journal of physiology · 2025Article
- ROLE OF FORELIMB MORPHOLOGY IN MUSCLE SENSORIMOTOR FUNCTIONS DURING LOCOMOTION IN THE CAT.bioRxiv : the preprint server for biology · 2024Article
- ArborSim: Articulated, branching, OpenSim routing for constructing models of multi-jointed appendages with complex muscle-tendon architecture.PLoS computational biology · 2024Article
- Ten steps to becoming a musculoskeletal simulation expert: A half-century of progress and outlook for the future.Journal of biomechanics · 2023Review
- Modern three-dimensional digital methods for studying locomotor biomechanics in tetrapods.The Journal of experimental biology · 2023Review
- Positioning of pivot points in quadrupedal locomotion: limbs global dynamics in four different dog breeds.Frontiers in bioengineering and biotechnology · 2023Article
- From fibre to function: are we accurately representing muscle architecture and performance?Biological reviews of the Cambridge Philosophical Society · 2022Review
- Role of animal models in biomedical research: a review.Laboratory animal research · 2022Review
- Musculoskeletal modelling and simulation of oil palm fresh fruit bunch harvesting.Scientific reports · 2022Article
- Article
- Validation of an Echidna Forelimb Musculoskeletal Model Using XROMM and diceCT.Frontiers in bioengineering and biotechnology · 2021Article
- A Whole-Body Musculoskeletal Model of the Mouse.IEEE access : practical innovations, open solutions · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The domestic dog is interesting to investigate because of the wide range of body size, body mass, and physique in the many breeds. In the last several years, the number of clinical and biomechanical studies on dog locomotion has increased. However, the relationship between body structure and joint load during locomotion, as well as between joint load and degenerative diseases of the locomotor system (e.g. dysplasia), are not sufficiently understood. Collecting this data through in vivo measurements/records of joint forces and loads on deep/small muscles is complex, invasive, and sometimes unethical. The use of detailed musculoskeletal models may help fill the knowledge gap. We describe here the methods we used to create a detailed musculoskeletal model with 84 degrees of freedom and 134 muscles. Our model has three key-features: three-dimensionality, scalability, and modularity. We tested the validity of the model by identifying forelimb muscle synergies of a walking Beagle. We used inverse dynamics and static optimization to estimate muscle activations based on experimental data. We identified three muscle synergy groups by using hierarchical clustering. The activation patterns predicted from the model exhibit good agreement with experimental data for most of the forelimb muscles. We expect that our model will speed up the analysis of how body size, physique, agility, and disease influence neuronal control and joint loading in dog locomotion.
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Registered trials
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.