"Recent studies have reported evidence that the motor system may rely on a modular organization, even if this behavior has yet to be confirmed during motor adaptation. The aim of the present study is to investigate the modular motor control mechanisms underlying the execution of pedaling by untrained subjects in different biomechanical conditions. We use the muscle synergies framework to characterize the muscle coordination of 11 subjects pedaling under two different conditions. The first one consists of a pedaling exercise with a strategy freely chosen by the subjects (Preferred Pedaling Technique,PPT), while the second condition constrains the gesture by means of a real time visual feedback of mechanical effectiveness (Effective Pedaling Technique,EPT). Pedal forces, recorded using a pair of instrumented pedals, were used to calculate the Index of Effectiveness, IE. EMG signals were recorded from 8 muscles of the dominant leg and Nonnegative Matrix Factorization was applied for the extraction of muscle synergies. All the synergy vectors, extracted cycle by cycle for each subject, were pooled across subjects and conditions and underwent a 2-dimensional Sammon's non-linear mapping. 7 representative clusters were identified on the Sammon's projection, and the corresponding 8-dimensional synergy vectors were used to reconstruct the repertoire of muscle activation for all subjects and all pedaling conditions (VAF > 0.8 for each individual muscle pattern). Only 5 out of the 7 identified modules were used by the subjects during the PPT pedaling condition, while 2 additional modules were found specific for the pedaling condition EPT. The temporal recruitment of three identified modules was highly correlated with IE. The structure of the identified modules was found similar to that extracted in other studies of human walking, partly confirming the existence of shared and task specific muscle synergies, and providing further evidence on the modularity of the motor system."
|Titolo:||Feedback of mechanical effectiveness induces adaptations in motor modules during cycling|
|Autori interni:||DE MARCHIS, CRISTIANO|
CASTRONOVO, ANNA MARGHERITA
|Data di pubblicazione:||2013|
|Rivista:||FRONTIERS IN COMPUTATIONAL NEUROSCIENCE|
|Appare nelle tipologie:||1.1 Articolo in rivista|