Literature DB >> 19828310

The case for and against muscle synergies.

Matthew C Tresch1, Anthony Jarc.   

Abstract

A long standing goal in motor control is to determine the fundamental output controlled by the CNS: does the CNS control the activation of individual motor units, individual muscles, groups of muscles, kinematic or dynamic features of movement, or does it simply care about accomplishing a task? Of course, the output controlled by the CNS might not be exclusive but instead multiple outputs might be controlled in parallel or hierarchically. In this review we examine one particular hypothesized level of control: that the CNS produces movement through the flexible combination of groups of muscles, or muscle synergies. Several recent studies have examined this hypothesis, providing evidence both in support and in opposition to it. We discuss these results and the current state of the muscle synergy hypothesis. Copyright 2009 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19828310      PMCID: PMC2818278          DOI: 10.1016/j.conb.2009.09.002

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  70 in total

Review 1.  Coordination and localization in spinal motor systems.

Authors:  Matthew C Tresch; Philippe Saltiel; Andrea d'Avella; Emilio Bizzi
Journal:  Brain Res Brain Res Rev       Date:  2002-10

2.  Optimal feedback control as a theory of motor coordination.

Authors:  Emanuel Todorov; Michael I Jordan
Journal:  Nat Neurosci       Date:  2002-11       Impact factor: 24.884

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

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

4.  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

5.  Sequential activation of muscle synergies during locomotion in the intact cat as revealed by cluster analysis and direct decomposition.

Authors:  Nedialko Krouchev; John F Kalaska; Trevor Drew
Journal:  J Neurophysiol       Date:  2006-07-05       Impact factor: 2.714

6.  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

7.  Properties of synergies arising from a theory of optimal motor behavior.

Authors:  Manu Chhabra; Robert A Jacobs
Journal:  Neural Comput       Date:  2006-10       Impact factor: 2.026

8.  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

Review 9.  Volitional control of neural activity: implications for brain-computer interfaces.

Authors:  Eberhard E Fetz
Journal:  J Physiol       Date:  2007-01-18       Impact factor: 5.182

10.  Changing motor synergies in chronic stroke.

Authors:  L Dipietro; H I Krebs; S E Fasoli; B T Volpe; J Stein; C Bever; N Hogan
Journal:  J Neurophysiol       Date:  2007-06-06       Impact factor: 2.714

View more
  179 in total

1.  Compensatory motor control after stroke: an alternative joint strategy for object-dependent shaping of hand posture.

Authors:  Preeti Raghavan; Marco Santello; Andrew M Gordon; John W Krakauer
Journal:  J Neurophysiol       Date:  2010-03-24       Impact factor: 2.714

2.  Motoneuronal and muscle synergies involved in cat hindlimb control during fictive and real locomotion: a comparison study.

Authors:  Sergey N Markin; Michel A Lemay; Boris I Prilutsky; Ilya A Rybak
Journal:  J Neurophysiol       Date:  2011-12-21       Impact factor: 2.714

Review 3.  Patterned control of human locomotion.

Authors:  Francesco Lacquaniti; Yuri P Ivanenko; Myrka Zago
Journal:  J Physiol       Date:  2012-03-12       Impact factor: 5.182

4.  Extracting synergies in gait: using EMG variability to evaluate control strategies.

Authors:  Rajiv Ranganathan; Chandramouli Krishnan
Journal:  J Neurophysiol       Date:  2012-06-20       Impact factor: 2.714

5.  Fatigue and motor redundancy: adaptive increase in finger force variance in multi-finger tasks.

Authors:  Tarkeshwar Singh; S K M Varadhan; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Neurophysiol       Date:  2010-03-31       Impact factor: 2.714

6.  On the origins of modularity in motor control.

Authors:  Ioannis Delis; Enrico Chiovetto; Bastien Berret
Journal:  J Neurosci       Date:  2010-06-02       Impact factor: 6.167

7.  Long-term training modifies the modular structure and organization of walking balance control.

Authors:  Andrew Sawers; Jessica L Allen; Lena H Ting
Journal:  J Neurophysiol       Date:  2015-10-14       Impact factor: 2.714

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

Authors:  Jinsook Roh; William Z Rymer; Randall F Beer
Journal:  J Neurophysiol       Date:  2012-01-25       Impact factor: 2.714

9.  Motor primitives are determined in early development and are then robustly conserved into adulthood.

Authors:  Qi Yang; David Logan; Simon F Giszter
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-28       Impact factor: 11.205

10.  Bihemispheric transcranial direct current stimulation enhances effector-independent representations of motor synergy and sequence learning.

Authors:  Sheena Waters-Metenier; Masud Husain; Tobias Wiestler; Jörn Diedrichsen
Journal:  J Neurosci       Date:  2014-01-15       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.