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Challenges and New Approaches to Proving the Existence of Muscle Synergies of Neural Origin

Overview of attention for article published in PLoS Computational Biology, May 2012
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Title
Challenges and New Approaches to Proving the Existence of Muscle Synergies of Neural Origin
Published in
PLoS Computational Biology, May 2012
DOI 10.1371/journal.pcbi.1002434
Pubmed ID
Authors

Jason J. Kutch, Francisco J. Valero-Cuevas

Abstract

Muscle coordination studies repeatedly show low-dimensionality of muscle activations for a wide variety of motor tasks. The basis vectors of this low-dimensional subspace, termed muscle synergies, are hypothesized to reflect neurally-established functional muscle groupings that simplify body control. However, the muscle synergy hypothesis has been notoriously difficult to prove or falsify. We use cadaveric experiments and computational models to perform a crucial thought experiment and develop an alternative explanation of how muscle synergies could be observed without the nervous system having controlled muscles in groups. We first show that the biomechanics of the limb constrains musculotendon length changes to a low-dimensional subspace across all possible movement directions. We then show that a modest assumption--that each muscle is independently instructed to resist length change--leads to the result that electromyographic (EMG) synergies will arise without the need to conclude that they are a product of neural coupling among muscles. Finally, we show that there are dimensionality-reducing constraints in the isometric production of force in a variety of directions, but that these constraints are more easily controlled for, suggesting new experimental directions. These counter-examples to current thinking clearly show how experimenters could adequately control for the constraints described here when designing experiments to test for muscle synergies--but, to the best of our knowledge, this has not yet been done.

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The data shown below were compiled from readership statistics for 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
India 2 <1%
Spain 2 <1%
United Kingdom 2 <1%
Austria 2 <1%
France 1 <1%
Australia 1 <1%
Brazil 1 <1%
Italy 1 <1%
Other 4 1%
Unknown 342 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 112 31%
Researcher 62 17%
Student > Master 44 12%
Student > Bachelor 20 5%
Student > Doctoral Student 17 5%
Other 58 16%
Unknown 51 14%
Readers by discipline Count As %
Engineering 131 36%
Neuroscience 52 14%
Agricultural and Biological Sciences 28 8%
Sports and Recreations 25 7%
Medicine and Dentistry 20 5%
Other 50 14%
Unknown 58 16%