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Probabilistic Evaluation of Predicted Force Sensitivity to Muscle Attachment and Glenohumeral Stability Uncertainty

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Abstract

A major benefit of computational modeling in biomechanics research is its ability to estimate internal muscular demands given limited input information. However, several assumptions regarding model parameters and constraints may influence model outputs. This research evaluated the influence of model parameter variability, specifically muscle attachment locations and glenohumeral stability thresholds, on predicted rotator cuff muscle force during internal and external axial humeral rotation tasks. Additionally, relative sensitivity factors assessed which parameters were more contributory to output variability. Modest model parameter variation resulted in considerable variability in predicted force, with origin-insertion locations being particularly influential. Specifically, the scapula attachment site of the subscapularis muscle was important for modulating predicted force, with sensitivity factors ranging from α = 0.2 to 0.7 in a neutral position. The largest variability in predicted forces was present for the subscapularis muscle, with average differences of 33.0 ± 9.6% of normalized muscle force (1–99% CI), and a maximal difference of 51% in neutral exertions. Infraspinatus and supraspinatus muscles elicited maximal differences of 15.0 and 20.6%, respectively, between confidence limits. Overall, origin and insertion locations were most influential and thus incorporating geometric variation in the prediction of rotator cuff muscle forces may provide more representative population estimates.

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Acknowledgments

Partial project support came from an individual discovery grant from the Canadian Natural Sciences and Engineering Research Council held by Dr. Clark Dickerson.

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Authors and Affiliations

  1. Department of Kinesiology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada

    Jaclyn N. Chopp-Hurley & Clark R. Dickerson

  2. School of Engineering and Technology, Central Michigan University, Mount Pleasant, MI, 48859, USA

    Joseph E. Langenderfer

Authors
  1. Jaclyn N. Chopp-Hurley
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  2. Joseph E. Langenderfer
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  3. Clark R. Dickerson
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Correspondence to Clark R. Dickerson.

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Associate Editor Thurmon E. Lockhart oversaw the review of this article.

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Chopp-Hurley, J.N., Langenderfer, J.E. & Dickerson, C.R. Probabilistic Evaluation of Predicted Force Sensitivity to Muscle Attachment and Glenohumeral Stability Uncertainty. Ann Biomed Eng 42, 1867–1879 (2014). https://doi.org/10.1007/s10439-014-1035-3

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