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

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.

[1]  S. Conforto,et al.  How much can we trust the electromechanical delay estimated by using electromyography? , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  A. Burden How should we normalize electromyograms obtained from healthy participants? What we have learned from over 25 years of research. , 2010, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[3]  Peter Hamer,et al.  Fatigue in repeated-sprint exercise is related to muscle power factors and reduced neuromuscular activity , 2008, European Journal of Applied Physiology.

[4]  Yvan Champoux,et al.  Interindividual variability of electromyographic patterns and pedal force profiles in trained cyclists , 2008, European Journal of Applied Physiology.

[5]  A. Belli,et al.  Relationship between the increase of effectiveness indexes and the increase of muscular efficiency with cycling power , 2006, European Journal of Applied Physiology.

[6]  Silvia Conforto,et al.  Neuromuscular adaptations during submaximal prolonged cycling , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Stacie A. Chvatal,et al.  Decomposing Muscle Activity in Motor TasksMethods and Interpretation , 2010 .

[8]  Emilio Bizzi,et al.  Shared and specific muscle synergies in natural motor behaviors. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Sylvain Durand,et al.  Effect of power output on muscle coordination during rowing , 2011, European Journal of Applied Physiology.

[10]  Silvia Conforto,et al.  How to assess performance in cycling: the multivariate nature of influencing factors and related indicators , 2013, Front. Physiol..

[11]  M. Tresch,et al.  The case for and against muscle synergies , 2022 .

[12]  Francesco Lacquaniti,et al.  Modulation of phasic and tonic muscle synergies with reaching direction and speed. , 2008, Journal of neurophysiology.

[13]  Silvia Conforto,et al.  Analysis of different image-based biofeedback models for improving cycling performances , 2012, Electronic Imaging.

[14]  E. Bizzi,et al.  Stability of muscle synergies for voluntary actions after cortical stroke in humans , 2009, Proceedings of the National Academy of Sciences.

[15]  Dario Farina,et al.  Impulses of activation but not motor modules are preserved in the locomotion of subacute stroke patients. , 2011, Journal of neurophysiology.

[16]  F A Mussa-Ivaldi,et al.  Computations underlying the execution of movement: a biological perspective. , 1991, Science.

[17]  Mark L Latash,et al.  Stages in learning motor synergies: a view based on the equilibrium-point hypothesis. , 2010, Human movement science.

[18]  Lena H Ting,et al.  Muscle synergy organization is robust across a variety of postural perturbations. , 2006, Journal of neurophysiology.

[19]  Silvia Conforto,et al.  Muscle synergies are consistent when pedaling under different biomechanical demands , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[20]  Silvia Conforto,et al.  Feedback of mechanical effectiveness induces adaptations in motor modules during cycling , 2013, Front. Comput. Neurosci..

[21]  Gregor Schöner,et al.  The uncontrolled manifold concept: identifying control variables for a functional task , 1999, Experimental Brain Research.

[22]  A. Guével,et al.  Is interindividual variability of EMG patterns in trained cyclists related to different muscle synergies? , 2010, Journal of applied physiology.

[23]  B. Freriks,et al.  Development of recommendations for SEMG sensors and sensor placement procedures. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[24]  Alain Belli,et al.  Influence of pedalling effectiveness on the inter-individual variations of muscular efficiency in cycling , 2006 .

[25]  D. Sanderson The influence of cadence and power output on the biomechanics of force application during steady-rate cycling in competitive and recreational cyclists. , 1991, Journal of sports sciences.

[26]  S Conforto,et al.  Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure. , 1999, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[27]  Richard E A van Emmerik,et al.  Changes in muscle and joint coordination in learning to direct forces. , 2008, Human movement science.

[28]  Emilio Bizzi,et al.  Combinations of muscle synergies in the construction of a natural motor behavior , 2003, Nature Neuroscience.

[29]  Roberto Merletti,et al.  The extraction of neural strategies from the surface EMG. , 2004, Journal of applied physiology.

[30]  F. Lacquaniti,et al.  Motor patterns in human walking and running. , 2006, Journal of neurophysiology.

[31]  L. Ting,et al.  Muscle synergies characterizing human postural responses. , 2007, Journal of neurophysiology.

[32]  Silvia Conforto,et al.  A wireless integrated system to evaluate efficiency indexes in real time during cycling , 2009 .

[33]  P. Cavanagh,et al.  Electromechanical delay in human skeletal muscle under concentric and eccentric contractions , 1979, European Journal of Applied Physiology and Occupational Physiology.

[34]  Dario Farina,et al.  Identifying representative synergy matrices for describing muscular activation patterns during multidirectional reaching in the horizontal plane. , 2010, Journal of neurophysiology.

[35]  Richard R Neptune,et al.  Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke. , 2010, Journal of neurophysiology.

[36]  S. Micera,et al.  Age-related modifications of muscle synergies and spinal cord activity during locomotion. , 2010, Journal of neurophysiology.

[37]  François Hug,et al.  Can muscle coordination be precisely studied by surface electromyography? , 2011, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[38]  Emmanuel Guigon,et al.  Computational Motor Control : Redundancy and Invariance , 2007 .

[39]  F. Lacquaniti,et al.  Five basic muscle activation patterns account for muscle activity during human locomotion , 2004, The Journal of physiology.

[40]  F. Zajac,et al.  Locomotor strategy for pedaling: muscle groups and biomechanical functions. , 1999, Journal of neurophysiology.

[41]  Richard R Neptune,et al.  Modular control of human walking: a simulation study. , 2009, Journal of biomechanics.

[42]  Sylvain Dorel,et al.  Consistency of muscle synergies during pedaling across different mechanical constraints. , 2011, Journal of neurophysiology.

[43]  H. Sebastian Seung,et al.  Learning the parts of objects by non-negative matrix factorization , 1999, Nature.

[44]  N. A. Bernshteĭn The co-ordination and regulation of movements , 1967 .

[45]  R. Neptune,et al.  The effect of pedaling rate on coordination in cycling. , 1997, Journal of biomechanics.

[46]  François Hug,et al.  Electromyographic analysis of pedaling: a review. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[47]  V. Baltzopoulos,et al.  Normalisation of gait EMGs: a re-examination. , 2003, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[48]  Peter Blanch,et al.  Patterns of leg muscle recruitment vary between novice and highly trained cyclists. , 2008, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[49]  S Conforto,et al.  Real time monitoring of muscular fatigue from dynamic surface myoelectric signals using a complex covariance approach. , 1999, Medical engineering & physics.

[50]  Richard R Neptune,et al.  Modular control of human walking: Adaptations to altered mechanical demands. , 2010, Journal of biomechanics.