Feedback of mechanical effectiveness induces adaptations in motor modules during cycling

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...

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Main Authors: Cristiano eDe Marchis, Maurizio eSchmid, Daniele eBibbo, Anna Margherita eCastronovo, Tommaso eD'Alessio, Silvia eConforto
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-04-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00035/full
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spelling doaj-ba486f5c3d4d4676942a68b0345c0c2d2020-11-24T21:01:40ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882013-04-01710.3389/fncom.2013.0003542906Feedback of mechanical effectiveness induces adaptations in motor modules during cyclingCristiano eDe Marchis0Maurizio eSchmid1Daniele eBibbo2Anna Margherita eCastronovo3Tommaso eD'Alessio4Silvia eConforto5Università degli Studi Roma TREUniversità degli Studi Roma TREUniversità degli Studi Roma TREUniversità degli Studi Roma TREUniversità degli Studi Roma TREUniversità degli Studi Roma TRERecent 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.http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00035/fullCyclingmodularitybiofeedbackmuscle synergiesBiomechanical FunctionInstrumented Pedals
collection DOAJ
language English
format Article
sources DOAJ
author Cristiano eDe Marchis
Maurizio eSchmid
Daniele eBibbo
Anna Margherita eCastronovo
Tommaso eD'Alessio
Silvia eConforto
spellingShingle Cristiano eDe Marchis
Maurizio eSchmid
Daniele eBibbo
Anna Margherita eCastronovo
Tommaso eD'Alessio
Silvia eConforto
Feedback of mechanical effectiveness induces adaptations in motor modules during cycling
Frontiers in Computational Neuroscience
Cycling
modularity
biofeedback
muscle synergies
Biomechanical Function
Instrumented Pedals
author_facet Cristiano eDe Marchis
Maurizio eSchmid
Daniele eBibbo
Anna Margherita eCastronovo
Tommaso eD'Alessio
Silvia eConforto
author_sort Cristiano eDe Marchis
title Feedback of mechanical effectiveness induces adaptations in motor modules during cycling
title_short Feedback of mechanical effectiveness induces adaptations in motor modules during cycling
title_full Feedback of mechanical effectiveness induces adaptations in motor modules during cycling
title_fullStr Feedback of mechanical effectiveness induces adaptations in motor modules during cycling
title_full_unstemmed Feedback of mechanical effectiveness induces adaptations in motor modules during cycling
title_sort feedback of mechanical effectiveness induces adaptations in motor modules during cycling
publisher Frontiers Media S.A.
series Frontiers in Computational Neuroscience
issn 1662-5188
publishDate 2013-04-01
description 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.
topic Cycling
modularity
biofeedback
muscle synergies
Biomechanical Function
Instrumented Pedals
url http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00035/full
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