Evidence map›Paper›PMID 38033021›Full record

ArticlePloS one2023

Does enforcing glenohumeral joint stability matter? A new rapid muscle redundancy solver highlights the importance of non-superficial shoulder muscles.

Italo Belli, Sagar Joshi, J Micah Prendergast, Irene Beck, Cosimo Della Santina, Luka Peternel, Ajay Seth

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Human-Aware Control for Physically Interacting Robots.Bioengineering (Basel, Switzerland) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Italo BelliCognitive Robotics Department, Technische Universiteit Delft, Delft, Zuid Holland, The Netherlands.ORCID 0000-0002-8064-2251
Sagar JoshiCognitive Robotics Department, Technische Universiteit Delft, Delft, Zuid Holland, The Netherlands.
J Micah PrendergastCognitive Robotics Department, Technische Universiteit Delft, Delft, Zuid Holland, The Netherlands.
Irene BeckBiomechanical Engineering Department, Technische Universiteit Delft, Delft, Zuid Holland, The Netherlands.
Cosimo Della SantinaCognitive Robotics Department, Technische Universiteit Delft, Delft, Zuid Holland, The Netherlands.
Luka PeternelCognitive Robotics Department, Technische Universiteit Delft, Delft, Zuid Holland, The Netherlands.ORCID 0000-0002-8696-3689
Ajay SethBiomechanical Engineering Department, Technische Universiteit Delft, Delft, Zuid Holland, The Netherlands.ORCID 0000-0003-4217-1580
Delft University of Technology · NLDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of the human shoulder girdle enables the large mobility of the upper extremity, but also introduces instability of the glenohumeral (GH) joint. Shoulder movements are generated by coordinating large superficial and deeper stabilizing muscles spanning numerous degrees-of-freedom. How shoulder muscles are coordinated to stabilize the movement of the GH joint remains widely unknown. Musculoskeletal simulations are powerful tools to gain insights into the actions of individual muscles and particularly of those that are difficult to measure. In this study, we analyze how enforcement of GH joint stability in a musculoskeletal model affects the estimates of individual muscle activity during shoulder movements. To estimate both muscle activity and GH stability from recorded shoulder movements, we developed a Rapid Muscle Redundancy (RMR) solver to include constraints on joint reaction forces (JRFs) from a musculoskeletal model. The RMR solver yields muscle activations and joint forces by minimizing the weighted sum of squared-activations, while matching experimental motion. We implemented three new features: first, computed muscle forces include active and passive fiber contributions; second, muscle activation rates are enforced to be physiological, and third, JRFs are efficiently formulated as linear functions of activations. Muscle activity from the RMR solver without GH stability was not different from the computed muscle control (CMC) algorithm and electromyography of superficial muscles. The efficiency of the solver enabled us to test over 3600 trials sampled within the uncertainty of the experimental movements to test the differences in muscle activity with and without GH joint stability enforced. We found that enforcing GH stability significantly increases the estimated activity of the rotator cuff muscles but not of most superficial muscles. Therefore, a comparison of shoulder model muscle activity to EMG measurements of superficial muscles alone is insufficient to validate the activity of rotator cuff muscles estimated from musculoskeletal models.

Indexed as

ShoulderShoulder JointBiomechanical PhenomenaElectromyographyHumansMuscle, SkeletalRange of Motion, Articular

Identifiers

PMID38033021
PMCPMC10688910
OpenAlexW4389166412

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.