Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada.
College of Science & Engineering, Central Michigan University, Mount Pleasant, Michigan, USA.
J Anat. 2023 Sep;243(3):431-447. doi: 10.1111/joa.13882. Epub 2023 Apr 25.
Computational musculoskeletal modeling represents a valuable approach to examining biological systems in physical anthropology. Probabilistic modeling builds on computational musculoskeletal models by associating mathematical distributions of specific musculoskeletal features within known ranges of biological variability with functional outcomes. The purpose of this study was to determine if overlap in rotator cuff muscle force predictions would occur between species during the performance of an evolutionarily relevant horizontal bimanual arm suspension task. This necessitated creating novel probabilistic models of the human and chimpanzee glenohumeral joint through augmentation of previously published deterministic models. Glenohumeral musculoskeletal features of anthropological interest were probabilistically modeled to produce distributions of predicted human and chimpanzee rotator cuff muscle force that were representative of the specific anatomical manipulations. Musculoskeletal features modeled probabilistically included rotator cuff origins and deltoid insertion, glenoid inclination, and joint stability. Predicted human rotator cuff muscle force distributions were mostly limited to alternating between infraspinatus and teres minor, with both 100% and 0% muscle force predicted for both muscles. The chimpanzee model predicted low-to-moderate muscle force across all rotator cuff muscles. Rotator cuff muscle force predictions were most sensitive to changes of muscle origins and insertions. Results indicate that functional rotator cuff overlap is unlikely between chimpanzees and humans without greater modifications of the glenohumeral musculoskeletal phenotypes. The results also highlight the low efficacy of the human upper extremity in overhead, weight-bearing tasks, and propensity for rotator cuff injury.
计算肌肉骨骼建模代表了一种检查物理人类学中生物系统的有价值方法。概率建模通过将特定肌肉骨骼特征在已知生物变异性范围内的数学分布与功能结果相关联，构建在计算肌肉骨骼模型的基础上。本研究的目的是确定在执行与进化相关的水平双臂悬停任务时，物种之间是否会出现肩袖肌肉力预测的重叠。这需要通过增加以前发表的确定性模型来创建人类和黑猩猩盂肱关节的新的概率模型。对人类和黑猩猩感兴趣的肌肉骨骼特征进行概率建模，以产生代表特定解剖操作的预测人类和黑猩猩肩袖肌肉力的分布。概率建模的肌肉骨骼特征包括肩袖起点和三角肌插入点、关节盂倾斜度和关节稳定性。预测的人类肩袖肌肉力分布主要局限于肩胛下肌和小圆肌之间的交替，两个肌肉都预测有 100%和 0%的肌肉力。黑猩猩模型预测所有肩袖肌肉的低到中等肌肉力。肩袖肌肉力预测对肌肉起点和插入点的变化最为敏感。结果表明，如果不对盂肱肌肉骨骼表型进行更大的修改，黑猩猩和人类之间的功能性肩袖重叠不太可能发生。结果还突出了人类上肢在头顶、承重任务中的低效率，以及肩袖损伤的倾向。
