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Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals
A central question in Neuroscience is that of how the nervous system generates the spatiotemporal commands needed to realize complex gestures, such as handwriting. A key postulate is that the central nervous system (CNS) builds up complex movements from a set of simpler motor primitives or control m...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288127/ https://www.ncbi.nlm.nih.gov/pubmed/25620928 http://dx.doi.org/10.3389/fncom.2014.00169 |
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author | Bengoetxea, Ana Leurs, Françoise Hoellinger, Thomas Cebolla, Ana Maria Dan, Bernard Cheron, Guy McIntyre, Joseph |
author_facet | Bengoetxea, Ana Leurs, Françoise Hoellinger, Thomas Cebolla, Ana Maria Dan, Bernard Cheron, Guy McIntyre, Joseph |
author_sort | Bengoetxea, Ana |
collection | PubMed |
description | A central question in Neuroscience is that of how the nervous system generates the spatiotemporal commands needed to realize complex gestures, such as handwriting. A key postulate is that the central nervous system (CNS) builds up complex movements from a set of simpler motor primitives or control modules. In this study we examined the control modules underlying the generation of muscle activations when performing different types of movement: discrete, point-to-point movements in eight different directions and continuous figure-eight movements in both the normal, upright orientation and rotated 90°. To test for the effects of biomechanical constraints, movements were performed in the frontal-parallel or sagittal planes, corresponding to two different nominal flexion/abduction postures of the shoulder. In all cases we measured limb kinematics and surface electromyographic activity (EMG) signals for seven different muscles acting around the shoulder. We first performed principal component analysis (PCA) of the EMG signals on a movement-by-movement basis. We found a surprisingly consistent pattern of muscle groupings across movement types and movement planes, although we could detect systematic differences between the PCs derived from movements performed in each shoulder posture and between the principal components associated with the different orientations of the figure. Unexpectedly we found no systematic differences between the figure eights and the point-to-point movements. The first three principal components could be associated with a general co-contraction of all seven muscles plus two patterns of reciprocal activation. From these results, we surmise that both “discrete-rhythmic movements” such as the figure eight, and discrete point-to-point movement may be constructed from three different fundamental modules, one regulating the impedance of the limb over the time span of the movement and two others operating to generate movement, one aligned with the vertical and the other aligned with the horizontal. |
format | Online Article Text |
id | pubmed-4288127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42881272015-01-23 Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals Bengoetxea, Ana Leurs, Françoise Hoellinger, Thomas Cebolla, Ana Maria Dan, Bernard Cheron, Guy McIntyre, Joseph Front Comput Neurosci Neuroscience A central question in Neuroscience is that of how the nervous system generates the spatiotemporal commands needed to realize complex gestures, such as handwriting. A key postulate is that the central nervous system (CNS) builds up complex movements from a set of simpler motor primitives or control modules. In this study we examined the control modules underlying the generation of muscle activations when performing different types of movement: discrete, point-to-point movements in eight different directions and continuous figure-eight movements in both the normal, upright orientation and rotated 90°. To test for the effects of biomechanical constraints, movements were performed in the frontal-parallel or sagittal planes, corresponding to two different nominal flexion/abduction postures of the shoulder. In all cases we measured limb kinematics and surface electromyographic activity (EMG) signals for seven different muscles acting around the shoulder. We first performed principal component analysis (PCA) of the EMG signals on a movement-by-movement basis. We found a surprisingly consistent pattern of muscle groupings across movement types and movement planes, although we could detect systematic differences between the PCs derived from movements performed in each shoulder posture and between the principal components associated with the different orientations of the figure. Unexpectedly we found no systematic differences between the figure eights and the point-to-point movements. The first three principal components could be associated with a general co-contraction of all seven muscles plus two patterns of reciprocal activation. From these results, we surmise that both “discrete-rhythmic movements” such as the figure eight, and discrete point-to-point movement may be constructed from three different fundamental modules, one regulating the impedance of the limb over the time span of the movement and two others operating to generate movement, one aligned with the vertical and the other aligned with the horizontal. Frontiers Media S.A. 2015-01-09 /pmc/articles/PMC4288127/ /pubmed/25620928 http://dx.doi.org/10.3389/fncom.2014.00169 Text en Copyright © 2015 Bengoetxea, Leurs, Hoellinger, Cebolla, Dan, Cheron and McIntyre. 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 and 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 Bengoetxea, Ana Leurs, Françoise Hoellinger, Thomas Cebolla, Ana Maria Dan, Bernard Cheron, Guy McIntyre, Joseph Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals |
title | Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals |
title_full | Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals |
title_fullStr | Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals |
title_full_unstemmed | Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals |
title_short | Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals |
title_sort | physiological modules for generating discrete and rhythmic movements: component analysis of emg signals |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288127/ https://www.ncbi.nlm.nih.gov/pubmed/25620928 http://dx.doi.org/10.3389/fncom.2014.00169 |
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