Literature DB >> 15098128

Heterogeneity of muscle recruitment pattern during pedaling in professional road cyclists: a magnetic resonance imaging and electromyography study.

François Hug1, David Bendahan, Yann Le Fur, Patrick J Cozzone, Laurent Grélot.   

Abstract

Although a number of studies have been devoted to the analysis of the activity pattern of the muscles involved in pedaling in sedentary subjects and/or amateur cyclists, data on professional cyclists are scarce and the issue of inter-individual differences has never been addressed in detail. In the present series of experiments, we performed a non-invasive investigation using functional magnetic resonance imaging and surface electromyography to determine the pattern of activity of lower limb muscles during two different exhausting pedaling exercises in eight French professional cyclists. Each subject performed an incremental exercise during which electromyographic activity of eight lower limb muscles and respiratory variables were recorded. After a 3-h recovery period, transverse relaxation times (T2) were measured before and just after a standardized constant-load maximal exercise in order to quantify exercise-related T2 changes. The global EMG activity illustrated by the root mean square clearly showed a large inter-individual difference during the incremental exercise regardless of the investigated muscle (variation coefficient up to 81%). In addition, for most of the muscles investigated, the constant-load exercise induced T2 increases, which varied noticeably among the subjects. This high level of variation in the recruitment of lower limb muscles in professional cyclists during both incremental and constant-load exercises is surprising given the homogeneity related to maximal oxygen consumption and training volume. The high degree of expertise of these professional cyclists was not linked to the production of a common pattern of pedaling and our results provide an additional evidence that the nervous system has multiple ways of accomplishing a given motor task, as has been suggested previously by neural control theorists and experimentalists.

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Year:  2004        PMID: 15098128     DOI: 10.1007/s00421-004-1096-3

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  37 in total

1.  Contraction increases the T(2) of muscle in fresh water but not in marine invertebrates.

Authors:  R A Meyer; B M Prior; R I Siles; R W Wiseman
Journal:  NMR Biomed       Date:  2001-05       Impact factor: 4.044

2.  Magnetic resonance imaging and electromyography as indexes of muscle function.

Authors:  G R Adams; M R Duvoisin; G A Dudley
Journal:  J Appl Physiol (1985)       Date:  1992-10

3.  Cycling efficiency is related to the percentage of type I muscle fibers.

Authors:  E F Coyle; L S Sidossis; J F Horowitz; J D Beltz
Journal:  Med Sci Sports Exerc       Date:  1992-07       Impact factor: 5.411

4.  Acute effects of exercise on MR imaging of skeletal muscle: concentric vs eccentric actions.

Authors:  F G Shellock; T Fukunaga; J H Mink; V R Edgerton
Journal:  AJR Am J Roentgenol       Date:  1991-04       Impact factor: 3.959

5.  The quantification of EMG normalization error.

Authors:  G A Mirka
Journal:  Ergonomics       Date:  1991-03       Impact factor: 2.778

6.  Direct relationship between proton T2 and exercise intensity in skeletal muscle MR images.

Authors:  M J Fisher; R A Meyer; G R Adams; J M Foley; E J Potchen
Journal:  Invest Radiol       Date:  1990-05       Impact factor: 6.016

7.  The relationship between cadence and lower extremity EMG in cyclists and noncyclists.

Authors:  A P Marsh; P E Martin
Journal:  Med Sci Sports Exerc       Date:  1995-02       Impact factor: 5.411

8.  Muscle morphology and metabolic potential in elite road cyclists during a season.

Authors:  G Sjøgaard
Journal:  Int J Sports Med       Date:  1984-10       Impact factor: 3.118

9.  The use of magnetic resonance images to investigate the influence of recruitment on the relationship between torque and cross-sectional area in human muscle.

Authors:  H Akima; S Kuno; H Takahashi; T Fukunaga; S Katsuta
Journal:  Eur J Appl Physiol       Date:  2000-12       Impact factor: 3.078

10.  Neuromuscular, metabolic, and kinetic adaptations for skilled pedaling performance in cyclists.

Authors:  T Takaishi; T Yamamoto; T Ono; T Ito; T Moritani
Journal:  Med Sci Sports Exerc       Date:  1998-03       Impact factor: 5.411

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  25 in total

1.  Change of muscle activation patterns in uphill cycling of varying slope.

Authors:  Nejc Sarabon; Borut Fonda; Goran Markovic
Journal:  Eur J Appl Physiol       Date:  2011-11-13       Impact factor: 3.078

2.  A method for detecting the temporal sequence of muscle activation during cycling using MRI.

Authors:  Christopher P Elder; Ryan N Cook; Kenneth L Wilkens; Marti A Chance; Otto A Sanchez; Bruce M Damon
Journal:  J Appl Physiol (1985)       Date:  2010-12-16

3.  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

4.  Muscular activity level during pedalling is not affected by crank inertial load.

Authors:  S Duc; V Villerius; W Bertucci; J N Pernin; F Grappe
Journal:  Eur J Appl Physiol       Date:  2005-07-20       Impact factor: 3.078

5.  Electromyographic analysis of hip adductor muscles during incremental fatiguing pedaling exercise.

Authors:  Kohei Watanabe; Keisho Katayama; Koji Ishida; Hiroshi Akima
Journal:  Eur J Appl Physiol       Date:  2009-05-24       Impact factor: 3.078

6.  Interindividual variability of electromyographic patterns and pedal force profiles in trained cyclists.

Authors:  François Hug; Jean Marc Drouet; Yvan Champoux; Antoine Couturier; Sylvain Dorel
Journal:  Eur J Appl Physiol       Date:  2008-07-16       Impact factor: 3.078

Review 7.  The measurement of maximal (anaerobic) power output on a cycle ergometer: a critical review.

Authors:  Tarak Driss; Henry Vandewalle
Journal:  Biomed Res Int       Date:  2013-08-29       Impact factor: 3.411

8.  Spatial heterogeneity in the muscle functional MRI signal intensity time course: effect of exercise intensity.

Authors:  Bruce M Damon; Megan C Wadington; Drew A Lansdown; Jennifer L Hornberger
Journal:  Magn Reson Imaging       Date:  2008-05-27       Impact factor: 2.546

Review 9.  Physiological basis of muscle functional MRI.

Authors:  Bruce M Damon; Elizabeth A Louie; Otto A Sanchez
Journal:  J Gravit Physiol       Date:  2007-07

10.  The relationship between muscle deoxygenation and activation in different muscles of the quadriceps during cycle ramp exercise.

Authors:  Lisa M K Chin; John M Kowalchuk; Thomas J Barstow; Narihiko Kondo; Tatsuro Amano; Tomoyuki Shiojiri; Shunsaku Koga
Journal:  J Appl Physiol (1985)       Date:  2011-07-28
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