Literature DB >> 18278488

Multi-muscle synergies in an unusual postural task: quick shear force production.

Thomas Robert1, Vladimir M Zatsiorsky, Mark L Latash.   

Abstract

We considered a hypothetical two-level hierarchy participating in the control of vertical posture. The framework of the uncontrolled manifold (UCM) hypothesis was used to explore the muscle groupings (M-modes) and multi-M-mode synergies involved in the stabilization of a time profile of the shear force in the anterior-posterior direction. Standing subjects were asked to produce pulses of shear force into a target using visual feedback while trying to minimize the shift of the center of pressure (COP). Principal component analysis applied to integrated muscle activation indices identified three M-modes. The composition of the M-modes was similar across subjects and the two directions of the shear force pulse. It differed from the composition of M-modes described in earlier studies of more natural actions associated with large COP shifts. Further, the trial-to-trial M-mode variance was partitioned into two components: one component that does not affect a particular performance variable (V(UCM)), and its orthogonal component (V(ORT)). We argued that there is a multi-M-mode synergy stabilizing this particular performance variable if V(UCM) is higher than V(ORT). Overall, we found a multi-M-mode synergy stabilizing both shear force and COP coordinate. For the shear force, this synergy was strong for the backward force pulses and nonsignificant for the forward pulses. An opposite result was found for the COP coordinate: the synergy was stronger for the forward force pulses. The study shows that M-mode composition can change in a task-specific way and that two different performance variables can be stabilized using the same set of elemental variables (M-modes). The different dependences of the ΔV indices for the shear force and COP coordinate on the force pulse direction supports applicability of the principle of superposition (separate controllers for different performance variables) to the control of different mechanical variables in postural tasks. The M-mode composition allows a natural mechanical interpretation.

Mesh:

Year:  2008        PMID: 18278488      PMCID: PMC2914157          DOI: 10.1007/s00221-008-1299-7

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  38 in total

1.  The uncontrolled manifold concept: identifying control variables for a functional task.

Authors:  J P Scholz; G Schöner
Journal:  Exp Brain Res       Date:  1999-06       Impact factor: 1.972

2.  Ankle and hip postural strategies defined by joint torques.

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4.  Muscle modes during shifts of the center of pressure by standing persons: effect of instability and additional support.

Authors:  Vijaya Krishnamoorthy; Mark L Latash; John P Scholz; Vladimir M Zatsiorsky
Journal:  Exp Brain Res       Date:  2004-02-21       Impact factor: 1.972

5.  Partial reconstruction of muscle activity from a pruned network of diverse motor cortex neurons.

Authors:  Marc H Schieber; Gil Rivlis
Journal:  J Neurophysiol       Date:  2006-10-11       Impact factor: 2.714

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8.  Muscle synergy organization is robust across a variety of postural perturbations.

Authors:  Gelsy Torres-Oviedo; Jane M Macpherson; Lena H Ting
Journal:  J Neurophysiol       Date:  2006-06-14       Impact factor: 2.714

9.  Coordination of locomotion with voluntary movements in humans.

Authors:  Yuri P Ivanenko; Germana Cappellini; Nadia Dominici; Richard E Poppele; Francesco Lacquaniti
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10.  Muscle modes and synergies during voluntary body sway.

Authors:  Alessander Danna-Dos-Santos; Kajetan Slomka; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2007-01-13       Impact factor: 2.064

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  35 in total

1.  Optimality vs. variability: an example of multi-finger redundant tasks.

Authors:  Jaebum Park; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2010-10-15       Impact factor: 1.972

2.  Muscle synergies underlying control of taking a step during support surface translation.

Authors:  Yun Wang; Kazuhiko Watanabe; Tadayoshi Asaka; Lars Nybo
Journal:  Eur J Appl Physiol       Date:  2016-02       Impact factor: 3.078

3.  Flexible muscle modes and synergies in challenging whole-body tasks.

Authors:  Alessander Danna-Dos-Santos; Adriana M Degani; Mark L Latash
Journal:  Exp Brain Res       Date:  2008-06-03       Impact factor: 1.972

4.  Age-related changes in joint coordination during balance recovery.

Authors:  Wei-Li Hsu; Li-Shan Chou; Marjorie Woollacott
Journal:  Age (Dordr)       Date:  2012-05-18

5.  Multi-muscle control during bipedal stance: an EMG-EMG analysis approach.

Authors:  Alessander Danna-Dos-Santos; Tjeerd W Boonstra; Adriana M Degani; Vinicius S Cardoso; Alessandra T Magalhaes; Luis Mochizuki; Charles T Leonard
Journal:  Exp Brain Res       Date:  2013-10-09       Impact factor: 1.972

6.  Hierarchies of Synergies in Human Movements.

Authors:  Mark L Latash; Stacey Gorniak; Vladimir M Zatsiorsky
Journal:  Kinesiology (Zagreb)       Date:  2008-06-01       Impact factor: 1.452

7.  Angular momentum synergies during walking.

Authors:  Thomas Robert; Bradford C Bennett; Shawn D Russell; Christopher A Zirker; Mark F Abel
Journal:  Exp Brain Res       Date:  2009-07-04       Impact factor: 1.972

8.  Time evolution of the organization of multi-muscle postural responses to sudden changes in the external force applied at the trunk level.

Authors:  Thomas Robert; Mark L Latash
Journal:  Neurosci Lett       Date:  2008-04-20       Impact factor: 3.046

9.  Two aspects of feedforward postural control: anticipatory postural adjustments and anticipatory synergy adjustments.

Authors:  Miriam Klous; Pavle Mikulic; Mark L Latash
Journal:  J Neurophysiol       Date:  2011-03-09       Impact factor: 2.714

10.  Task-specific stability in muscle activation space during unintentional movements.

Authors:  Ali Falaki; Farzad Towhidkhah; Tao Zhou; Mark L Latash
Journal:  Exp Brain Res       Date:  2014-08-06       Impact factor: 1.972

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