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      The neural origin of muscle synergies

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          Abstract

          Muscle synergies are neural coordinative structures that function to alleviate the computational burden associated with the control of movement and posture. In this commentary, we address two critical questions: the explicit encoding of muscle synergies in the nervous system, and how muscle synergies simplify movement production. We argue that shared and task-specific muscle synergies are neurophysiological entities whose combination, orchestrated by the motor cortical areas and the afferent systems, facilitates motor control and motor learning.

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          Most cited references46

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          Receptive fields of single neurones in the cat's striate cortex.

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            Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke.

            Evidence suggests that the nervous system controls motor tasks using a low-dimensional modular organization of muscle activation. However, it is not clear if such an organization applies to coordination of human walking, nor how nervous system injury may alter the organization of motor modules and their biomechanical outputs. We first tested the hypothesis that muscle activation patterns during walking are produced through the variable activation of a small set of motor modules. In 20 healthy control subjects, EMG signals from eight leg muscles were measured across a range of walking speeds. Four motor modules identified through nonnegative matrix factorization were sufficient to account for variability of muscle activation from step to step and across speeds. Next, consistent with the clinical notion of abnormal limb flexion-extension synergies post-stroke, we tested the hypothesis that subjects with post-stroke hemiparesis would have altered motor modules, leading to impaired walking performance. In post-stroke subjects (n = 55), a less complex coordination pattern was shown. Fewer modules were needed to account for muscle activation during walking at preferred speed compared with controls. Fewer modules resulted from merging of the modules observed in healthy controls, suggesting reduced independence of neural control signals. The number of modules was correlated to preferred walking speed, speed modulation, step length asymmetry, and propulsive asymmetry. Our results suggest a common modular organization of muscle coordination underlying walking in both healthy and post-stroke subjects. Identification of motor modules may lead to new insight into impaired locomotor coordination and the underlying neural systems.
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              Locomotor primitives in newborn babies and their development.

              How rudimentary movements evolve into sophisticated ones during development remains unclear. It is often assumed that the primitive patterns of neural control are suppressed during development, replaced by entirely new patterns. Here we identified the basic patterns of lumbosacral motoneuron activity from multimuscle recordings in stepping neonates, toddlers, preschoolers, and adults. Surprisingly, we found that the two basic patterns of stepping neonates are retained through development, augmented by two new patterns first revealed in toddlers. Markedly similar patterns were observed also in the rat, cat, macaque, and guineafowl, consistent with the hypothesis that, despite substantial phylogenetic distances and morphological differences, locomotion in several animal species is built starting from common primitives, perhaps related to a common ancestral neural network.
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                Author and article information

                Journal
                Front Comput Neurosci
                Front Comput Neurosci
                Front. Comput. Neurosci.
                Frontiers in Computational Neuroscience
                Frontiers Media S.A.
                1662-5188
                29 April 2013
                2013
                : 7
                : 51
                Affiliations
                Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology Cambridge, MA, USA
                Author notes

                Edited by: Martin Giese, University Clinic Tuebingen / Hertie Institute, Germany

                Reviewed by: Florentin Wörgötter, University Goettingen, Germany; Martin Giese, University Clinic Tübingen, Germany

                *Correspondence: Emilio Bizzi and Vincent C. K. Cheung, Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, 46-6189, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. e-mail: ebizzimit.edu; ckcheung@ 123456mit.edu
                Article
                10.3389/fncom.2013.00051
                3638124
                23641212
                d0b27ff8-da32-477d-ad3d-b90de02c4962
                Copyright © Bizzi and Cheung.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

                History
                : 20 February 2013
                : 11 April 2013
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 77, Pages: 6, Words: 0
                Categories
                Neuroscience
                Perspective Article

                Neurosciences
                motor primitive,spinal interneurons,motor modules,non-negative matrix factorization,motor cortex

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