Literature DB >> 25407521

The influence of visual information on multi-muscle control during quiet stance: a spectral analysis approach.

Alessander Danna-Dos-Santos1, Adriana M Degani, Tjeerd W Boonstra, Luis Mochizuki, Allison M Harney, Megan M Schmeckpeper, Lori C Tabor, Charles T Leonard.   

Abstract

Standing upright requires the coordination of neural drives to a large set of muscles involved in controlling human bipedal stance (i.e., postural muscles). The coordination may deteriorate in situations where standing is performed under more challenging circumstances, such as standing on a smaller base of support or not having adequate visual information. The present study investigates the role of common neural inputs in the organization of multi-muscle synergies and the effects of visual input disruption to this mechanism of control. We analyzed the strength and distribution of correlated neural inputs (measured by intermuscular coherence) to six postural muscles previously recognized as components of synergistic groups involved in the maintenance of the body's vertical positioning. Two experimental conditions were studied: quiet bipedal stance performed with opened eyes (OEs) and closed eyes (CEs). Nine participants stood quietly for 30 s while the activity of the soleus, biceps femoris, lumbar erector spinae, tibialis anterior, rectus femoris, and rectus abdominis muscles were recorded using surface electrodes. Intermuscular (EMG-EMG) coherence was estimated for 12 muscle pairs formed by these muscles, including pairs formed solely by either posterior, anterior, or mixed (one posterior and one anterior) muscles. Intermuscular coherence was only found to be significant for muscle pairs formed solely by either posterior or anterior muscles, and no significant coherence was found for mixed muscle pairs. Significant intermuscular coherence was only found within a distinct frequency interval bounded between 1 and 10 Hz when visual input was available (OEs trials). The strength of correlated neural inputs was similar across muscle pairs located in different joints but executing a similar function (pushing body either backward or forward) suggesting that synergistic postural groups are likely formed based on their functional role instead of their anatomical location. Absence of visual information caused a significant decrease in intermuscular coherence. These findings are consistent with the hypothesis that correlated neural inputs are a mechanism used by the CNS to assemble synergistic muscle groups. Further, this mechanism is affected by interruption of visual input.

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Year:  2014        PMID: 25407521     DOI: 10.1007/s00221-014-4145-0

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


  47 in total

Review 1.  EEG-EMG, MEG-EMG and EMG-EMG frequency analysis: physiological principles and clinical applications.

Authors:  P Grosse; M J Cassidy; P Brown
Journal:  Clin Neurophysiol       Date:  2002-10       Impact factor: 3.708

2.  Neural mechanisms of intermuscular coherence: implications for the rectification of surface electromyography.

Authors:  Tjeerd W Boonstra; Michael Breakspear
Journal:  J Neurophysiol       Date:  2011-11-09       Impact factor: 2.714

Review 3.  Coordination.

Authors:  M T Turvey
Journal:  Am Psychol       Date:  1990-08

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Authors:  Brach Poston; Alessander Danna-Dos Santos; Mark Jesunathadas; Thomas M Hamm; Marco Santello
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5.  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

6.  Bilateral motor unit synchronization of leg muscles during a simple dynamic balance task.

Authors:  Tjeerd W Boonstra; Andreas Daffertshofer; Melvyn Roerdink; Ivo Flipse; Karin Groenewoud; Peter J Beek
Journal:  Eur J Neurosci       Date:  2009-01-17       Impact factor: 3.386

7.  An extended difference of coherence test for comparing and combining several independent coherence estimates: theory and application to the study of motor units and physiological tremor.

Authors:  A M Amjad; D M Halliday; J R Rosenberg; B A Conway
Journal:  J Neurosci Methods       Date:  1997-04-25       Impact factor: 2.390

8.  Explicit and implicit knowledge of environment states induce adaptation in postural control.

Authors:  José A Barela; Matthias Weigelt; Paula F Polastri; Daniela Godoi; Stefane A Aguiar; John J Jeka
Journal:  Neurosci Lett       Date:  2014-02-25       Impact factor: 3.046

9.  Temporal stability of the action-perception cycle for postural control in a moving visual environment.

Authors:  T M Dijkstra; G Schöner; C C Gielen
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

10.  The frequency content of common synaptic inputs to motoneurones studied during voluntary isometric contraction in man.

Authors:  S F Farmer; F D Bremner; D M Halliday; J R Rosenberg; J A Stephens
Journal:  J Physiol       Date:  1993-10       Impact factor: 5.182

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Journal:  Exp Brain Res       Date:  2015-03-28       Impact factor: 1.972

2.  In the upright stance, posture is better controlled to perform precise visual tasks than laser pointing tasks.

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3.  Decreased Saccadic Eye Movement Speed Correlates with Dynamic Balance in Older Adults.

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4.  Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during Standing.

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5.  Standing task difficulty related increase in agonist-agonist and agonist-antagonist common inputs are driven by corticospinal and subcortical inputs respectively.

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6.  Visuo-postural dependency index (VPDI) in human postural control.

Authors:  Alessander Danna-Dos-Santos; Maria M Ribeiro Dos Santos; Alessandra T Magalhães; Vinicius S Cardoso; Patricia Driusso; Luis Mochizuki; Adriana M Degani
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7.  The difficulty of the postural control task affects multi-muscle control during quiet standing.

Authors:  X García-Massó; M Pellicer-Chenoll; L M Gonzalez; J L Toca-Herrera
Journal:  Exp Brain Res       Date:  2016-03-04       Impact factor: 1.972

8.  Long-term effects of mild traumatic brain injuries to oculomotor tracking performances and reaction times to simple environmental stimuli.

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Journal:  J Neurophysiol       Date:  2020-08-20       Impact factor: 2.714

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