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

Motor variability is an inherent feature of all human movements and reflects the quality of functional task performance. Depending on the requirements of the motor task, the human sensory-motor system is thought to be able to flexibly govern the appropriate level of variability. However, it remains...

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Main Authors: Niklas König Ignasiak, Lars Habermacher, William R. Taylor, Navrag B. Singh
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-11-01
Series:Frontiers in Human Neuroscience
Subjects:
DFA
Online Access:http://journal.frontiersin.org/article/10.3389/fnhum.2017.00548/full
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spelling doaj-28c608b5a37641deac9a3d4d9d3bdc352020-11-25T02:11:22ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612017-11-011110.3389/fnhum.2017.00548298177Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during StandingNiklas König IgnasiakLars HabermacherWilliam R. TaylorNavrag B. SinghMotor variability is an inherent feature of all human movements and reflects the quality of functional task performance. Depending on the requirements of the motor task, the human sensory-motor system is thought to be able to flexibly govern the appropriate level of variability. However, it remains unclear which neurophysiological structures are responsible for the control of motor variability. In this study, we tested the contribution of cortical cognitive resources on the control of motor variability (in this case postural sway) using a dual-task paradigm and furthermore observed potential changes in control strategy by evaluating Ia-afferent integration (H-reflex). Twenty healthy subjects were instructed to stand relaxed on a force plate with eyes open and closed, as well as while trying to minimize sway magnitude and performing a “subtracting-sevens” cognitive task. In total 25 linear and non-linear parameters were used to evaluate postural sway, which were combined using a Principal Components procedure. Neurophysiological response of Ia-afferent reflex loop was quantified using the Hoffman reflex. In order to assess the contribution of the H-reflex on the sway outcome in the different standing conditions multiple mixed-model ANCOVAs were performed. The results suggest that subjects were unable to further minimize their sway, despite actively focusing to do so. The dual-task had a destabilizing effect on PS, which could partly (by 4%) be counter-balanced by increasing reliance on Ia-afferent information. The effect of the dual-task was larger than the protective mechanism of increasing Ia-afferent information. We, therefore, conclude that cortical structures, as compared to peripheral reflex loops, play a dominant role in the control of motor variability.http://journal.frontiersin.org/article/10.3389/fnhum.2017.00548/fullHoffman-reflexpostural swaysample entropyDFAlyapunov exponentmotor output variability
collection DOAJ
language English
format Article
sources DOAJ
author Niklas König Ignasiak
Lars Habermacher
William R. Taylor
Navrag B. Singh
spellingShingle Niklas König Ignasiak
Lars Habermacher
William R. Taylor
Navrag B. Singh
Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during Standing
Frontiers in Human Neuroscience
Hoffman-reflex
postural sway
sample entropy
DFA
lyapunov exponent
motor output variability
author_facet Niklas König Ignasiak
Lars Habermacher
William R. Taylor
Navrag B. Singh
author_sort Niklas König Ignasiak
title Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during Standing
title_short Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during Standing
title_full Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during Standing
title_fullStr Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during Standing
title_full_unstemmed Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during Standing
title_sort cortical contribution to linear, non-linear and frequency components of motor variability control during standing
publisher Frontiers Media S.A.
series Frontiers in Human Neuroscience
issn 1662-5161
publishDate 2017-11-01
description Motor variability is an inherent feature of all human movements and reflects the quality of functional task performance. Depending on the requirements of the motor task, the human sensory-motor system is thought to be able to flexibly govern the appropriate level of variability. However, it remains unclear which neurophysiological structures are responsible for the control of motor variability. In this study, we tested the contribution of cortical cognitive resources on the control of motor variability (in this case postural sway) using a dual-task paradigm and furthermore observed potential changes in control strategy by evaluating Ia-afferent integration (H-reflex). Twenty healthy subjects were instructed to stand relaxed on a force plate with eyes open and closed, as well as while trying to minimize sway magnitude and performing a “subtracting-sevens” cognitive task. In total 25 linear and non-linear parameters were used to evaluate postural sway, which were combined using a Principal Components procedure. Neurophysiological response of Ia-afferent reflex loop was quantified using the Hoffman reflex. In order to assess the contribution of the H-reflex on the sway outcome in the different standing conditions multiple mixed-model ANCOVAs were performed. The results suggest that subjects were unable to further minimize their sway, despite actively focusing to do so. The dual-task had a destabilizing effect on PS, which could partly (by 4%) be counter-balanced by increasing reliance on Ia-afferent information. The effect of the dual-task was larger than the protective mechanism of increasing Ia-afferent information. We, therefore, conclude that cortical structures, as compared to peripheral reflex loops, play a dominant role in the control of motor variability.
topic Hoffman-reflex
postural sway
sample entropy
DFA
lyapunov exponent
motor output variability
url http://journal.frontiersin.org/article/10.3389/fnhum.2017.00548/full
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