Literature DB >> 21880939

Superposition and modulation of muscle synergies for reaching in response to a change in target location.

Andrea d'Avella1, Alessandro Portone, Francesco Lacquaniti.   

Abstract

We have recently shown that the muscle patterns for reaching are well described by the combination of a few time-varying muscle synergies supporting the notion of a modular architecture for arm control. Here we investigated whether the muscle patterns for reaching movements involving online corrections are also generated by the combination of the same set of time-varying muscle synergies used for point-to-point movements. We recorded endpoint kinematics and EMGs from up to 16 arm muscles of 5 subjects reaching from a central location to 8 peripheral targets in the frontal plane, from each peripheral target to 1 of the 2 adjacent targets, and from the central location initially to 1 peripheral target and, after a delay of either 50, 150, or 250 ms from the go signal, to 1 of the 2 adjacent targets. Time-varying muscle synergies were extracted from the averaged, phasic, normalized EMGs of point-to-point movements and fit to the patterns of target change movements using an iterative optimization algorithm. In all subjects, three time-varying muscle synergies explained a large fraction of the data variation of point-to-point movements. The superposition and modulation of the same three synergies reconstructed the muscle patterns for target change movements better than the superposition and modulation of the corresponding point-to-point muscle patterns, appropriately aligned. While at the kinematic level the corrective trajectory for reaching during a change in target location can be obtained by the delayed superposition of the trajectory from the initial to the final target, at the muscle level the underlying phasic muscle patterns are captured by the amplitude and timing modulation of the same time-varying muscle synergies recruited for point-to-point movements. These results suggest that a common modular architecture is used for the control of unperturbed arm movement and for its visually guided online corrections.

Mesh:

Year:  2011        PMID: 21880939     DOI: 10.1152/jn.00675.2010

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  35 in total

1.  Sensorimotor feedback based on task-relevant error robustly predicts temporal recruitment and multidirectional tuning of muscle synergies.

Authors:  Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2012-10-24       Impact factor: 2.714

2.  Principal components of hand kinematics and neurophysiological signals in motor cortex during reach to grasp movements.

Authors:  Mohsen Mollazadeh; Vikram Aggarwal; Nitish V Thakor; Marc H Schieber
Journal:  J Neurophysiol       Date:  2014-07-02       Impact factor: 2.714

3.  Spatiotemporal dynamics of online motor correction processing revealed by high-density electroencephalography.

Authors:  Laura Dipietro; Howard Poizner; Hermano I Krebs
Journal:  J Cogn Neurosci       Date:  2014-02-24       Impact factor: 3.225

4.  Decomposition of spontaneous movements of infants as combinations of limb synergies.

Authors:  Moe Kato; Masaya Hirashima; Hiroki Oohashi; Hama Watanabe; Gentaro Taga
Journal:  Exp Brain Res       Date:  2014-05-14       Impact factor: 1.972

5.  Grasp-Based Functional Coupling Between Reach- and Grasp-Related Components of Forelimb Muscle Activity.

Authors:  Shashwati Geed; Peter L E van Kan
Journal:  J Mot Behav       Date:  2016-09-02       Impact factor: 1.328

Review 6.  Neuromechanical principles underlying movement modularity and their implications for rehabilitation.

Authors:  Lena H Ting; Hillel J Chiel; Randy D Trumbower; Jessica L Allen; J Lucas McKay; Madeleine E Hackney; Trisha M Kesar
Journal:  Neuron       Date:  2015-04-08       Impact factor: 17.173

Review 7.  Review and perspective: neuromechanical considerations for predicting muscle activation patterns for movement.

Authors:  Lena H Ting; Stacie A Chvatal; Seyed A Safavynia; J Lucas McKay
Journal:  Int J Numer Method Biomed Eng       Date:  2012-05-16       Impact factor: 2.747

8.  Neuromuscular constraints on muscle coordination during overground walking in persons with chronic incomplete spinal cord injury.

Authors:  Heather B Hayes; Stacie A Chvatal; Margaret A French; Lena H Ting; Randy D Trumbower
Journal:  Clin Neurophysiol       Date:  2014-02-14       Impact factor: 3.708

9.  Voluntary and reactive recruitment of locomotor muscle synergies during perturbed walking.

Authors:  Stacie A Chvatal; Lena H Ting
Journal:  J Neurosci       Date:  2012-08-29       Impact factor: 6.167

Review 10.  Representation of Muscle Synergies in the Primate Brain.

Authors:  Simon A Overduin; Andrea d'Avella; Jinsook Roh; Jose M Carmena; Emilio Bizzi
Journal:  J Neurosci       Date:  2015-09-16       Impact factor: 6.167

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