Literature DB >> 10675817

Muscle coordination: the discussion continues

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Abstract

In this response, the major criticisms of the target article are addressed. Terminology from the target article that may have caused some confusion is clarified. In particular, the tasks that have the basic features of muscle coordination, as identified in the target article, have been limited in scope. A new metabolic optimization criterion suggested by Alexander (2000) is examined for its ability to predict muscle coordination in walking. Issues concerning the validation of muscle force predictions, the rules of muscle coordination, and the role of directional constraints in coordination of two-joint muscles are discussed. It is shown in particular that even in one-joint systems, the forces predicted by the criterion of Crowninshield and Brand (1981) depend upon the muscle moment arms and the physiological cross-sectional areas in much more complex ways than either previously assumed in the target article, or incorrectly derived by Herzog and Ait-Haddou (2000). It is concluded that the criterion of Crowninshield and Brand qualitatively predicts the basic coordination features of the major one- and two-joint muscles in a number of highly skilled, repetitive motor tasks performed by humans under predictable conditions and little demands on stability and accuracy. A possible functional significance of such muscle coordination may be the minimization of perceived effort, muscle fatigue, and/or energy expenditure.

Entities:  

Year:  2000        PMID: 10675817     DOI: 10.1123/mcj.4.1.97

Source DB:  PubMed          Journal:  Motor Control        ISSN: 1087-1640            Impact factor:   1.422


  9 in total

1.  Similar movements are associated with drastically different muscle contraction velocities.

Authors:  Daniel A Hagen; Francisco J Valero-Cuevas
Journal:  J Biomech       Date:  2017-05-31       Impact factor: 2.712

2.  Reproducibility and variability of the cost functions reconstructed from experimental recordings in multifinger prehension.

Authors:  Xun Niu; Mark L Latash; Vladimir M Zatsiorsky
Journal:  J Mot Behav       Date:  2012-02-24       Impact factor: 1.328

3.  Reconstruction of the unknown optimization cost functions from experimental recordings during static multi-finger prehension.

Authors:  Xun Niu; Alexander V Terekhov; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Motor Control       Date:  2011-11-16       Impact factor: 1.422

4.  Computational Models for Neuromuscular Function.

Authors:  Francisco J Valero-Cuevas; Heiko Hoffmann; Manish U Kurse; Jason J Kutch; Evangelos A Theodorou
Journal:  IEEE Rev Biomed Eng       Date:  2009

5.  Exploring the high-dimensional structure of muscle redundancy via subject-specific and generic musculoskeletal models.

Authors:  F J Valero-Cuevas; B A Cohn; H F Yngvason; E L Lawrence
Journal:  J Biomech       Date:  2015-04-22       Impact factor: 2.712

6.  Structure of the set of feasible neural commands for complex motor tasks.

Authors:  F J Valero-Cuevas; B A Cohn; M Szedlak; K Fukuda; B Gartner
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015-08

7.  Task-dependent inhibition of slow-twitch soleus and excitation of fast-twitch gastrocnemius do not require high movement speed and velocity-dependent sensory feedback.

Authors:  Ricky Mehta; Boris I Prilutsky
Journal:  Front Physiol       Date:  2014-10-28       Impact factor: 4.566

8.  Muscle Synergies Heavily Influence the Neural Control of Arm Endpoint Stiffness and Energy Consumption.

Authors:  Joshua M Inouye; Francisco J Valero-Cuevas
Journal:  PLoS Comput Biol       Date:  2016-02-11       Impact factor: 4.475

9.  Feasibility Theory Reconciles and Informs Alternative Approaches to Neuromuscular Control.

Authors:  Brian A Cohn; May Szedlák; Bernd Gärtner; Francisco J Valero-Cuevas
Journal:  Front Comput Neurosci       Date:  2018-09-11       Impact factor: 2.380

  9 in total

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