Literature DB >> 24060224

Inter-individual variability of forces and modular muscle coordination in cycling: a study on untrained subjects.

Cristiano De Marchis1, Maurizio Schmid, Daniele Bibbo, Ivan Bernabucci, Silvia Conforto.   

Abstract

The aim of this study was to investigate the muscle coordination underlying pedaling in untrained subjects by using the muscle synergies paradigm, and to connect it with the inter-individual variability of EMG patterns and applied forces. Nine subjects performed a pedaling exercise on a cycle-simulator. Applied forces were recorded by means of instrumented pedals able to measure two force components. EMG signals were recorded from eight muscles of the dominant leg, and Nonnegative Matrix Factorization was applied to extract muscle synergy vectors W and time-varying activation coefficients H. Inter-individual variability was assessed for EMG patterns, force profiles, and H. Four modules were sufficient to reconstruct the muscle activation repertoire for all the subjects (variance accounted for >90% for each muscle). These modules were found to be highly similar between subjects in terms of W (mean r=.89), while most of the variability in force profiles and EMG patterns was reflected, in the muscle synergy structure, in the variability of H. These four modules have a functional interpretation when related to force distribution along the pedaling cycle, and the structure of W is shared with that present in human walking, suggesting the existence of a modular motor control in humans.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  2330-motor processes; 2530-electrophysiology; 3720-sports; Biomechanical function; Cycling; Inter-individual variability; Modular control of movement; Muscle synergies; sEMG

Mesh:

Year:  2013        PMID: 24060224     DOI: 10.1016/j.humov.2013.07.018

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  11 in total

1.  Muscle coordination limits efficiency and power output of human limb movement under a wide range of mechanical demands.

Authors:  Ollie M Blake; James M Wakeling
Journal:  J Neurophysiol       Date:  2015-10-07       Impact factor: 2.714

2.  Intermuscular coherence contributions in synergistic muscles during pedaling.

Authors:  Cristiano De Marchis; Giacomo Severini; Anna Margherita Castronovo; Maurizio Schmid; Silvia Conforto
Journal:  Exp Brain Res       Date:  2015-03-28       Impact factor: 1.972

3.  Do individual differences in the distribution of activation between synergist muscles reflect individual strategies?

Authors:  Marion Crouzier; François Hug; Sylvain Dorel; Thibault Deschamps; Kylie Tucker; Lilian Lacourpaille
Journal:  Exp Brain Res       Date:  2018-12-06       Impact factor: 1.972

Review 4.  Feasibility of Muscle Synergy Outcomes in Clinics, Robotics, and Sports: A Systematic Review.

Authors:  Juri Taborri; Valentina Agostini; Panagiotis K Artemiadis; Marco Ghislieri; Daniel A Jacobs; Jinsook Roh; Stefano Rossi
Journal:  Appl Bionics Biomech       Date:  2018-04-01       Impact factor: 1.781

5.  Comparison of Initialization Techniques for the Accurate Extraction of Muscle Synergies from Myoelectric Signals via Nonnegative Matrix Factorization.

Authors:  Mumtaz Hussain Soomro; Silvia Conforto; Gaetano Giunta; Simone Ranaldi; Cristiano De Marchis
Journal:  Appl Bionics Biomech       Date:  2018-05-08       Impact factor: 1.781

6.  Modular motor control of the sound limb in gait of people with trans-femoral amputation.

Authors:  Cristiano De Marchis; Simone Ranaldi; Mariano Serrao; Alberto Ranavolo; Francesco Draicchio; Francesco Lacquaniti; Silvia Conforto
Journal:  J Neuroeng Rehabil       Date:  2019-11-06       Impact factor: 4.262

7.  Changes in leg cycling muscle synergies after training augmented by functional electrical stimulation in subacute stroke survivors: a pilot study.

Authors:  Emilia Ambrosini; Monica Parati; Elisabetta Peri; Cristiano De Marchis; Claudia Nava; Alessandra Pedrocchi; Giorgio Ferriero; Simona Ferrante
Journal:  J Neuroeng Rehabil       Date:  2020-02-27       Impact factor: 4.262

8.  Subject specific muscle synergies and mechanical output during cycling with arms or legs.

Authors:  Théo Cartier; Laurent Vigouroux; Elke Viehweger; Guillaume Rao
Journal:  PeerJ       Date:  2022-03-29       Impact factor: 2.984

9.  Neuro-Mechanics of Recumbent Leg Cycling in Post-Acute Stroke Patients.

Authors:  Emilia Ambrosini; Cristiano De Marchis; Alessandra Pedrocchi; Giancarlo Ferrigno; Marco Monticone; Maurizio Schmid; Tommaso D'Alessio; Silvia Conforto; Simona Ferrante
Journal:  Ann Biomed Eng       Date:  2016-06-01       Impact factor: 3.934

10.  Intermuscular Coordination in the Power Clean Exercise: Comparison between Olympic Weightlifters and Untrained Individuals-A Preliminary Study.

Authors:  Paulo D G Santos; João R Vaz; Paulo F Correia; Maria J Valamatos; António P Veloso; Pedro Pezarat-Correia
Journal:  Sensors (Basel)       Date:  2021-03-09       Impact factor: 3.576

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