Literature DB >> 33729869

Approaches to revealing the neural basis of muscle synergies: a review and a critique.

Vincent C K Cheung1, Kazuhiko Seki2.   

Abstract

The central nervous system (CNS) may produce coordinated motor outputs via the combination of motor modules representable as muscle synergies. Identification of muscle synergies has hitherto relied on applying factorization algorithms to multimuscle electromyographic data (EMGs) recorded during motor behaviors. Recent studies have attempted to validate the neural basis of the muscle synergies identified by independently retrieving the muscle synergies through CNS manipulations and analytic techniques such as spike-triggered averaging of EMGs. Experimental data have demonstrated the pivotal role of the spinal premotor interneurons in the synergies' organization and the presence of motor cortical loci whose stimulations offer access to the synergies, but whether the motor cortex is also involved in organizing the synergies has remained unsettled. We argue that one difficulty inherent in current approaches to probing the synergies' neural basis is that the EMG generative model based on linear combination of synergies and the decomposition algorithms used for synergy identification are not grounded on enough prior knowledge from neurophysiology. Progress may be facilitated by constraining or updating the model and algorithms with knowledge derived directly from CNS manipulations or recordings. An investigative framework based on evaluating the relevance of neurophysiologically constrained models of muscle synergies to natural motor behaviors will allow a more sophisticated understanding of motor modularity, which will help the community move forward from the current debate on the neural versus nonneural origin of muscle synergies.

Entities:  

Keywords:  motor cortex; motor module; motor primitive; muscle synergy; premotor interneuron

Mesh:

Year:  2021        PMID: 33729869     DOI: 10.1152/jn.00625.2019

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


  11 in total

1.  Similarity of hand muscle synergies elicited by transcranial magnetic stimulation and those found during voluntary movement.

Authors:  Mathew Yarossi; Dana H Brooks; Deniz Erdoğmuş; Eugene Tunik
Journal:  J Neurophysiol       Date:  2022-08-24       Impact factor: 2.974

2.  The effect of limb position on a static knee extension task can be explained with a simple spinal cord circuit model.

Authors:  Gareth York; Hugh Osborne; Piyanee Sriya; Sarah Astill; Marc de Kamps; Samit Chakrabarty
Journal:  J Neurophysiol       Date:  2021-12-08       Impact factor: 2.714

3.  Common and distinct muscle synergies during level and slope locomotion in the cat.

Authors:  Alexander N Klishko; Adil Akyildiz; Ricky Mehta-Desai; Boris I Prilutsky
Journal:  J Neurophysiol       Date:  2021-06-30       Impact factor: 2.974

4.  Muscle Synergies and Clinical Outcome Measures Describe Different Factors of Upper Limb Motor Function in Stroke Survivors Undergoing Rehabilitation in a Virtual Reality Environment.

Authors:  Lorenza Maistrello; Daniele Rimini; Vincent C K Cheung; Giorgia Pregnolato; Andrea Turolla
Journal:  Sensors (Basel)       Date:  2021-11-30       Impact factor: 3.576

5.  Temporal Synergies Detection in Gait Cyclograms Using Wearable Technology.

Authors:  Marija M Gavrilović; Milica M Janković
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

6.  Muscle synergy analysis yields an efficient and physiologically relevant method of assessing stroke.

Authors:  Tetsuro Funato; Noriaki Hattori; Arito Yozu; Qi An; Tomomichi Oya; Shouhei Shirafuji; Akihiro Jino; Kyoichi Miura; Giovanni Martino; Denise Berger; Ichiro Miyai; Jun Ota; Yury Ivanenko; Andrea d'Avella; Kazuhiko Seki
Journal:  Brain Commun       Date:  2022-08-09

7.  Unilateral symptomatic Achilles tendinopathy has limited effects on bilateral lower limb ground reaction force asymmetries and muscular synergy attributes when walking at natural and fast speeds.

Authors:  Mathieu Lalumiere; Daniel Bourbonnais; Michel Goyette; Sarah Perrino; François Desmeules; Dany H Gagnon
Journal:  J Foot Ankle Res       Date:  2022-09-07       Impact factor: 3.050

8.  Modulation of Muscle Synergies in Lower-Limb Muscles Associated With Split-Belt Locomotor Adaptation.

Authors:  Atsushi Oshima; Yasuo Nakamura; Kiyotaka Kamibayashi
Journal:  Front Hum Neurosci       Date:  2022-06-30       Impact factor: 3.473

9.  Toward a unifying framework for the modeling and identification of motor primitives.

Authors:  Enrico Chiovetto; Alessandro Salatiello; Andrea d'Avella; Martin A Giese
Journal:  Front Comput Neurosci       Date:  2022-09-12       Impact factor: 3.387

10.  A Vexing Question in Motor Control: The Degrees of Freedom Problem.

Authors:  Pietro Morasso
Journal:  Front Bioeng Biotechnol       Date:  2022-01-17
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