JN Watch the video to see how APS reaches out to developing nations.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
 QUICK SEARCH:   [advanced]


     


J Neurophysiol (December 10, 2008). doi:10.1152/jn.90679.2008
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
101/2/843    most recent
90679.2008v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Wakeling, J. M.
Right arrow Articles by Horn, T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Wakeling, J. M.
Right arrow Articles by Horn, T.
Submitted on June 13, 2008
Revised on October 31, 2008
Accepted on November 28, 2008

Neuromechanics of muscle synergies during cycling

James Michael Wakeling1* and Tamara Horn2

1 Simon Fraser University
2 2Swiss Federal Institute of Technology

* To whom correspondence should be addressed. E-mail: wakeling{at}sfu.ca.

Muscle synergies have been proposed as building blocks that could simplify the construction of motor behaviours. However, the muscles within synergistic groups may have different architectures, mechanical linkages to the skeleton and biochemical properties and these put competing demands on the most appropriate way to activate them for different mechanical tasks. This study identifies the extent to which synergistic patterns of muscle activity vary when the mechanical demands on a limb were altered, and additionally identifies how consistent the spectral profiles of the electromyogram (EMG) intensities were across the different movement tasks. The muscle activities were measured with surface EMG across ten muscles in the leg during cycling at a range of loads and velocities. The EMGs were quantified by their intensities in time-frequency space using wavelet analysis; the instantaneous patterns of activity identified using principal component analysis, statistically compared and further visualized using the varimax rotation. 35.7 % of variability in the patterns of activity between the muscles were correlated with the torque and velocity of the pedal crank. Anatomic groups of muscles share a common mechanical action across a joint; uncoupling between such muscles was identified in 68.8 % of the varimax patterns that encompassed all 10 muscles, and 20.8-29.5 % of the activity patterns when the anatomic groups were analysed separately. The EMG spectra showed greatest heterogeneity for the gastrocnemii. These results show that the activity of muscles within anatomic groups is partially uncoupled in response to altered mechanical demands on the limb.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Visit Other APS Journals Online
Copyright © 2008 by the The American Physiological Society.