Literature DB >> 20075001

Rhythmic muscular activation pattern for fast figure-eight movement.

A Bengoetxea1, B Dan, F Leurs, A M Cebolla, C De Saedeleer, P Gillis, G Cheron.   

Abstract

OBJECTIVE: To address the question of how the CNS generates muscle activation patterns for complex gestures, we have chosen to study a figure-eight movement. We hypothesized that the well defined rhythmic aspect of this figure will provide further insights into the temporal features of multi-muscular commands.
METHODS: Subjects performed, as fast as possible, figure-eights initiated in the center of the figure with 4 different initial directions and 2 positions of the shoulder. We extracted the temporal modulation of the EMG patterns by calculating conjugate cross-correlation functions.
RESULTS: (1) The muscular command was tuned with respect to the rotational direction of the figure-eight, (2) two sets of synergistic muscles acted in a reciprocal mode, and (3) these reciprocal commands presented an invariant temporal correlation with the spatial component of the velocity having the highest frequency.
CONCLUSION: Our results suggest that the rhythmic features of certain drawing movements favor the partitioning of the muscles into synergistic groups acting in a reciprocal mode. The inclusion of an individual muscle in one group or the other takes into account the expected number of changes of direction in the movement as a whole. SIGNIFICANCE: Muscular temporal synergies may depend on the rhythmic features of the trajectory. Copyright 2009 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20075001     DOI: 10.1016/j.clinph.2009.12.021

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  4 in total

Review 1.  From spinal central pattern generators to cortical network: integrated BCI for walking rehabilitation.

Authors:  G Cheron; M Duvinage; C De Saedeleer; T Castermans; A Bengoetxea; M Petieau; K Seetharaman; T Hoellinger; B Dan; T Dutoit; F Sylos Labini; F Lacquaniti; Y Ivanenko
Journal:  Neural Plast       Date:  2012-01-04       Impact factor: 3.599

2.  Physiological modules for generating discrete and rhythmic movements: action identification by a dynamic recurrent neural network.

Authors:  Ana Bengoetxea; Françoise Leurs; Thomas Hoellinger; Ana M Cebolla; Bernard Dan; Joseph McIntyre; Guy Cheron
Journal:  Front Comput Neurosci       Date:  2014-09-17       Impact factor: 2.380

3.  Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals.

Authors:  Ana Bengoetxea; Françoise Leurs; Thomas Hoellinger; Ana Maria Cebolla; Bernard Dan; Guy Cheron; Joseph McIntyre
Journal:  Front Comput Neurosci       Date:  2015-01-09       Impact factor: 2.380

4.  Biological oscillations for learning walking coordination: dynamic recurrent neural network functionally models physiological central pattern generator.

Authors:  Thomas Hoellinger; Mathieu Petieau; Matthieu Duvinage; Thierry Castermans; Karthik Seetharaman; Ana-Maria Cebolla; Ana Bengoetxea; Yuri Ivanenko; Bernard Dan; Guy Cheron
Journal:  Front Comput Neurosci       Date:  2013-05-29       Impact factor: 2.380

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.