Literature DB >> 22279190

Robustness of muscle synergies underlying three-dimensional force generation at the hand in healthy humans.

Jinsook Roh1, William Z Rymer, Randall F Beer.   

Abstract

Previous studies using advanced matrix factorization techniques have shown that the coordination of human voluntary limb movements may be accomplished using combinations of a small number of intermuscular coordination patterns, or muscle synergies. However, the potential use of muscle synergies for isometric force generation has been evaluated mostly using correlational methods. The results of such studies suggest that fixed relationships between the activations of pairs of muscles are relatively rare. There is also emerging evidence that the nervous system uses independent strategies to control movement and force generation, which suggests that one cannot conclude a priori that isometric force generation is accomplished by combining muscle synergies, as shown in movement control. In this study, we used non-negative matrix factorization to evaluate the ability of a few muscle synergies to reconstruct the activation patterns of human arm muscles underlying the generation of three-dimensional (3-D) isometric forces at the hand. Surface electromyographic (EMG) data were recorded from eight key elbow and shoulder muscles during 3-D force target-matching protocols performed across a range of load levels and hand positions. Four synergies were sufficient to explain, on average, 95% of the variance in EMG datasets. Furthermore, we found that muscle synergy composition was conserved across biomechanical task conditions, experimental protocols, and subjects. Our findings are consistent with the view that the nervous system can generate isometric forces by assembling a combination of a small number of muscle synergies, differentially weighted according to task constraints.

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Year:  2012        PMID: 22279190      PMCID: PMC3331600          DOI: 10.1152/jn.00173.2011

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  78 in total

1.  Identification of neuromuscular synergies in natural upper-arm movements.

Authors:  Angelo M Sabatini
Journal:  Biol Cybern       Date:  2002-04       Impact factor: 2.086

2.  Neuromotor synergies as a basis for coordinated intentional action.

Authors:  W A Lee
Journal:  J Mot Behav       Date:  1984-06       Impact factor: 1.328

3.  Modular premotor drives and unit bursts as primitives for frog motor behaviors.

Authors:  Corey B Hart; Simon F Giszter
Journal:  J Neurosci       Date:  2004-06-02       Impact factor: 6.167

4.  Force-independent distribution of correlated neural inputs to hand muscles during three-digit grasping.

Authors:  Brach Poston; Alessander Danna-Dos Santos; Mark Jesunathadas; Thomas M Hamm; Marco Santello
Journal:  J Neurophysiol       Date:  2010-05-26       Impact factor: 2.714

5.  Control of fast-reaching movements by muscle synergy combinations.

Authors:  Andrea d'Avella; Alessandro Portone; Laure Fernandez; Francesco Lacquaniti
Journal:  J Neurosci       Date:  2006-07-26       Impact factor: 6.167

6.  Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets.

Authors:  Matthew C Tresch; Vincent C K Cheung; Andrea d'Avella
Journal:  J Neurophysiol       Date:  2006-01-04       Impact factor: 2.714

7.  Subdivisions of primary motor cortex based on cortico-motoneuronal cells.

Authors:  Jean-Alban Rathelot; Peter L Strick
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-12       Impact factor: 11.205

8.  Inhibitory projection from brachioradialis to biceps brachii motoneurones in human.

Authors:  A Naito; M Shindo; T Miyasaka; Y J Sun; H Morita
Journal:  Exp Brain Res       Date:  1996-10       Impact factor: 1.972

9.  Determination of muscle and joint forces: a new technique to solve the indeterminate problem.

Authors:  K N An; B M Kwak; E Y Chao; B F Morrey
Journal:  J Biomech Eng       Date:  1984-11       Impact factor: 2.097

10.  Spinal cord modular organization and rhythm generation: an NMDA iontophoretic study in the frog.

Authors:  P Saltiel; M C Tresch; E Bizzi
Journal:  J Neurophysiol       Date:  1998-11       Impact factor: 2.714

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  49 in total

1.  Learning new gait patterns: Exploratory muscle activity during motor learning is not predicted by motor modules.

Authors:  Rajiv Ranganathan; Chandramouli Krishnan; Yasin Y Dhaher; William Z Rymer
Journal:  J Biomech       Date:  2016-02-10       Impact factor: 2.712

2.  Consequences of biomechanically constrained tasks in the design and interpretation of synergy analyses.

Authors:  Katherine M Steele; Matthew C Tresch; Eric J Perreault
Journal:  J Neurophysiol       Date:  2015-01-14       Impact factor: 2.714

3.  Recruitment of muscle synergies is associated with endpoint force fluctuations during multi-directional isometric contractions.

Authors:  Shota Hagio; Motoki Kouzaki
Journal:  Exp Brain Res       Date:  2015-03-21       Impact factor: 1.972

Review 4.  How to improve the muscle synergy analysis methodology?

Authors:  Nicolas A Turpin; Stéphane Uriac; Georges Dalleau
Journal:  Eur J Appl Physiol       Date:  2021-01-26       Impact factor: 3.078

5.  The effects of motor modularity on performance, learning and generalizability in upper-extremity reaching: a computational analysis.

Authors:  Mazen Al Borno; Jennifer L Hicks; Scott L Delp
Journal:  J R Soc Interface       Date:  2020-06-03       Impact factor: 4.118

6.  When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance.

Authors:  Victor R Barradas; Jason J Kutch; Toshihiro Kawase; Yasuharu Koike; Nicolas Schweighofer
Journal:  J Neurophysiol       Date:  2020-04-08       Impact factor: 2.714

7.  On identifying kinematic and muscle synergies: a comparison of matrix factorization methods using experimental data from the healthy population.

Authors:  Navid Lambert-Shirzad; H F Machiel Van der Loos
Journal:  J Neurophysiol       Date:  2016-11-16       Impact factor: 2.714

8.  Voluntary and reactive recruitment of locomotor muscle synergies during perturbed walking.

Authors:  Stacie A Chvatal; Lena H Ting
Journal:  J Neurosci       Date:  2012-08-29       Impact factor: 6.167

9.  Alterations in upper limb muscle synergy structure in chronic stroke survivors.

Authors:  Jinsook Roh; William Z Rymer; Eric J Perreault; Seng Bum Yoo; Randall F Beer
Journal:  J Neurophysiol       Date:  2012-11-14       Impact factor: 2.714

10.  Motor Modules are Impacted by the Number of Reaching Directions Included in the Analysis.

Authors:  Thomas E Augenstein; Edward P Washabaugh; C David Remy; Chandramouli Krishnan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-07-10       Impact factor: 3.802

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