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Cortical Correlates of Human Balance Control

Balance control is a fundamental component of human every day motor activities such as standing or walking, and its impairment is associated with an increased risk of falling. However, in humans the exact neurobiological mechanisms underlying balance control are still unclear. Specifically, although...

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Autores principales: Mierau, Andreas, Pester, Britta, Hülsdünker, Thorben, Schiecke, Karin, Strüder, Heiko K., Witte, Herbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495870/
https://www.ncbi.nlm.nih.gov/pubmed/28466295
http://dx.doi.org/10.1007/s10548-017-0567-x
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author Mierau, Andreas
Pester, Britta
Hülsdünker, Thorben
Schiecke, Karin
Strüder, Heiko K.
Witte, Herbert
author_facet Mierau, Andreas
Pester, Britta
Hülsdünker, Thorben
Schiecke, Karin
Strüder, Heiko K.
Witte, Herbert
author_sort Mierau, Andreas
collection PubMed
description Balance control is a fundamental component of human every day motor activities such as standing or walking, and its impairment is associated with an increased risk of falling. However, in humans the exact neurobiological mechanisms underlying balance control are still unclear. Specifically, although previous studies have identified a number of cortical regions that become significantly activated during real or imagined balancing, the interactions within and between the relevant cortical regions remain to be investigated. The working hypothesis of this study is that cortical networks contribute to an optimization of balance control, and that this contribution can be revealed by partial directed coherence—a time-variant, frequency-selective and directed functional connectivity analysis tool. Electroencephalographic activity was recorded in 37 subjects during single-leg balancing on a stable as well as an unstable surface. Results of this study show that in the transition from balancing on a stable surface to an unstable surface, two topographically delimitable connectivity networks (weighted directed networks) are established; one associated with the alpha and one with the theta frequency band. The theta network sequence can be described as a set of subnetworks (modules) comprising the frontal, central and parietal cortex with individual temporal and spatial developments within and between those modules. In the alpha network, the occipital electrodes O1 and O2 act as a source, and the interactions propagate predominantly in the directions from occipital to parietal and to centro-parietal areas. These important findings indicate that balance control is supported by at least two functional cortical networks. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10548-017-0567-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-54958702017-07-18 Cortical Correlates of Human Balance Control Mierau, Andreas Pester, Britta Hülsdünker, Thorben Schiecke, Karin Strüder, Heiko K. Witte, Herbert Brain Topogr Original Paper Balance control is a fundamental component of human every day motor activities such as standing or walking, and its impairment is associated with an increased risk of falling. However, in humans the exact neurobiological mechanisms underlying balance control are still unclear. Specifically, although previous studies have identified a number of cortical regions that become significantly activated during real or imagined balancing, the interactions within and between the relevant cortical regions remain to be investigated. The working hypothesis of this study is that cortical networks contribute to an optimization of balance control, and that this contribution can be revealed by partial directed coherence—a time-variant, frequency-selective and directed functional connectivity analysis tool. Electroencephalographic activity was recorded in 37 subjects during single-leg balancing on a stable as well as an unstable surface. Results of this study show that in the transition from balancing on a stable surface to an unstable surface, two topographically delimitable connectivity networks (weighted directed networks) are established; one associated with the alpha and one with the theta frequency band. The theta network sequence can be described as a set of subnetworks (modules) comprising the frontal, central and parietal cortex with individual temporal and spatial developments within and between those modules. In the alpha network, the occipital electrodes O1 and O2 act as a source, and the interactions propagate predominantly in the directions from occipital to parietal and to centro-parietal areas. These important findings indicate that balance control is supported by at least two functional cortical networks. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10548-017-0567-x) contains supplementary material, which is available to authorized users. Springer US 2017-05-02 2017 /pmc/articles/PMC5495870/ /pubmed/28466295 http://dx.doi.org/10.1007/s10548-017-0567-x Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
spellingShingle Original Paper
Mierau, Andreas
Pester, Britta
Hülsdünker, Thorben
Schiecke, Karin
Strüder, Heiko K.
Witte, Herbert
Cortical Correlates of Human Balance Control
title Cortical Correlates of Human Balance Control
title_full Cortical Correlates of Human Balance Control
title_fullStr Cortical Correlates of Human Balance Control
title_full_unstemmed Cortical Correlates of Human Balance Control
title_short Cortical Correlates of Human Balance Control
title_sort cortical correlates of human balance control
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495870/
https://www.ncbi.nlm.nih.gov/pubmed/28466295
http://dx.doi.org/10.1007/s10548-017-0567-x
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