Soft tissue constraints on joint mobility in the avian shoulder
Demuth, O. E.; Hutchinson, J. R.; La Barbera, V.; Warner, S. E.; Field, D. J.
Show abstract
Joints and their surrounding soft tissues facilitate and restrict vertebrate skeletal motion. Measures of maximal joint mobility provide insight into articular function and its limits on potential joint motion and thereby behaviour. In extinct vertebrates the reconstruction of joint mobility permits us to decipher shifts in locomotor evolution. Such measurements are generally limited to studies of osteological joint mobility. However, only a subset of osteologically feasible poses are biologically feasible because true joint mobility is limited by soft tissues, such as ligaments, that seldomly preserve in the fossil record. To address this issue, we implemented an in silico model to simulate avian glenohumeral (shoulder) movement and the constraints imposed by six ligaments on its joint mobility. We evaluated our in silico model of the partridge shoulder joint with measured ex vivo shoulder mobility using X-ray Reconstruction of Moving Morphology (XROMM). Our results indicate that modelling ligamentous constraints is integral to accurately quantifying shoulder function due to the role of ligaments in maintaining articular contact during complex glenohumeral motion. Our approach enables more confident estimates of functional joint mobility in both extant and extinct vertebrates and thereby stands to improve inferences of behaviour and musculoskeletal function in the vertebrate fossil record.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Lateral pressure equalisation as a principle for designing support surfaces to prevent deep tissue pressure ulcers 94%
- Does enforcing glenohumeral joint stability matter? A new rapid muscle redundancy solver highlights the importance of non-superficial shoulder muscles 93%
- AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization 93%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.