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Using a System Identification Approach to Investigate Subtask Control during Human Locomotion

Here we apply a control theoretic view of movement to the behavior of human locomotion with the goal of using perturbations to learn about subtask control. Controlling one's speed and maintaining upright posture are two critical subtasks, or underlying functions, of human locomotion. How the ne...

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Autores principales: Logan, David, Kiemel, Tim, Jeka, John J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225107/
https://www.ncbi.nlm.nih.gov/pubmed/28123365
http://dx.doi.org/10.3389/fncom.2016.00146
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author Logan, David
Kiemel, Tim
Jeka, John J.
author_facet Logan, David
Kiemel, Tim
Jeka, John J.
author_sort Logan, David
collection PubMed
description Here we apply a control theoretic view of movement to the behavior of human locomotion with the goal of using perturbations to learn about subtask control. Controlling one's speed and maintaining upright posture are two critical subtasks, or underlying functions, of human locomotion. How the nervous system simultaneously controls these two subtasks was investigated in this study. Continuous visual and mechanical perturbations were applied concurrently to subjects (n = 20) as probes to investigate these two subtasks during treadmill walking. Novel application of harmonic transfer function (HTF) analysis to human motor behavior was used, and these HTFs were converted to the time-domain based representation of phase-dependent impulse response functions (ϕIRFs). These ϕIRFs were used to identify the mapping from perturbation inputs to kinematic and electromyographic (EMG) outputs throughout the phases of the gait cycle. Mechanical perturbations caused an initial, passive change in trunk orientation and, at some phases of stimulus presentation, a corrective trunk EMG and orientation response. Visual perturbations elicited a trunk EMG response prior to a trunk orientation response, which was subsequently followed by an anterior-posterior displacement response. This finding supports the notion that there is a temporal hierarchy of functional subtasks during locomotion in which the control of upper-body posture precedes other subtasks. Moreover, the novel analysis we apply has the potential to probe a broad range of rhythmic behaviors to better understand their neural control.
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spelling pubmed-52251072017-01-25 Using a System Identification Approach to Investigate Subtask Control during Human Locomotion Logan, David Kiemel, Tim Jeka, John J. Front Comput Neurosci Neuroscience Here we apply a control theoretic view of movement to the behavior of human locomotion with the goal of using perturbations to learn about subtask control. Controlling one's speed and maintaining upright posture are two critical subtasks, or underlying functions, of human locomotion. How the nervous system simultaneously controls these two subtasks was investigated in this study. Continuous visual and mechanical perturbations were applied concurrently to subjects (n = 20) as probes to investigate these two subtasks during treadmill walking. Novel application of harmonic transfer function (HTF) analysis to human motor behavior was used, and these HTFs were converted to the time-domain based representation of phase-dependent impulse response functions (ϕIRFs). These ϕIRFs were used to identify the mapping from perturbation inputs to kinematic and electromyographic (EMG) outputs throughout the phases of the gait cycle. Mechanical perturbations caused an initial, passive change in trunk orientation and, at some phases of stimulus presentation, a corrective trunk EMG and orientation response. Visual perturbations elicited a trunk EMG response prior to a trunk orientation response, which was subsequently followed by an anterior-posterior displacement response. This finding supports the notion that there is a temporal hierarchy of functional subtasks during locomotion in which the control of upper-body posture precedes other subtasks. Moreover, the novel analysis we apply has the potential to probe a broad range of rhythmic behaviors to better understand their neural control. Frontiers Media S.A. 2017-01-11 /pmc/articles/PMC5225107/ /pubmed/28123365 http://dx.doi.org/10.3389/fncom.2016.00146 Text en Copyright © 2017 Logan, Kiemel and Jeka. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Logan, David
Kiemel, Tim
Jeka, John J.
Using a System Identification Approach to Investigate Subtask Control during Human Locomotion
title Using a System Identification Approach to Investigate Subtask Control during Human Locomotion
title_full Using a System Identification Approach to Investigate Subtask Control during Human Locomotion
title_fullStr Using a System Identification Approach to Investigate Subtask Control during Human Locomotion
title_full_unstemmed Using a System Identification Approach to Investigate Subtask Control during Human Locomotion
title_short Using a System Identification Approach to Investigate Subtask Control during Human Locomotion
title_sort using a system identification approach to investigate subtask control during human locomotion
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225107/
https://www.ncbi.nlm.nih.gov/pubmed/28123365
http://dx.doi.org/10.3389/fncom.2016.00146
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