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      Neuromuscular organisation and robustness of postural control in the presence of perturbations

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          Abstract

          Perturbation-based exercise interventions challenge balance and improve reactive motor control. Our purpose was to investigate the modular organisation during a standing balance task in both stable and unstable conditions to provide new insights into the neuromuscular control mechanisms needed to cope with perturbations. Fifteen participants performed 54 cycles of a specific task (i.e. pass from a double- to a single-leg standing) on stable ground and an unstable oscillating platform (Posturomed). Muscle synergies were extracted from the electromyographic activity of thirteen lower limb muscles. The maximum Lyapunov exponents of different body segments were calculated using kinematic data. We found two synergies functionally associated with the single- and double-leg stance in both stable and unstable conditions. Nonetheless, in the unstable condition participants needed an extra muscle synergy also functionally related to the single stance. Although a simple organisation of the neuromuscular system was sufficient to maintain the postural control in both conditions, the increased challenge in the oscillating platform was solved by adding one extra synergy. The addition of a new synergy with complementary function highlighted an increased motor output’s robustness (i.e. ability to cope with errors) in the presence of perturbations.

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          Geometry from a Time Series

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            Independent coordinates for strange attractors from mutual information

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                Author and article information

                Contributors
                v.munozmartel@hu-berlin.de
                a.arampatzis@hu-berlin.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                22 August 2019
                22 August 2019
                2019
                : 9
                : 12273
                Affiliations
                [1 ]ISNI 0000 0001 2248 7639, GRID grid.7468.d, Department of Training and Movement Sciences, , Humboldt-Universität zu Berlin, ; Berlin, Germany
                [2 ]ISNI 0000 0001 2248 7639, GRID grid.7468.d, Berlin School of Movement Science, , Humboldt-Universität zu Berlin, ; Berlin, Germany
                Author information
                http://orcid.org/0000-0002-6577-5101
                Article
                47613
                10.1038/s41598-019-47613-7
                6706387
                31439926
                05666470-1d31-4a75-a940-04f8b10296ce
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 April 2019
                : 16 July 2019
                Categories
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                © The Author(s) 2019

                Uncategorized
                central pattern generators,computational neuroscience,motor control
                Uncategorized
                central pattern generators, computational neuroscience, motor control

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