Literature DB >> 21669789

Electromyography and the evolution of motor control: limitations and insights.

Anthony Herrel1, Vicky Schaerlaeken, Callum Ross, Jay Meyers, Kiisa Nishikawa, Virginia Abdala, Adriana Manzano, Peter Aerts.   

Abstract

Electromyography (EMG), or the study of muscle activation patterns, has long been used to infer central nervous system (CNS) control of the musculoskeletal system and the evolution of that control. As the activation of the muscles at the level of the periphery is a reflection of the interaction of descending influences and local reflex control, EMG is an important tool in integrated investigations of the evolution of coordination in complex, musculoskeletal systems. Yet, the use of EMG as a tool to understand the evolution of motor control has its limitations. We here review the potential limitations and opportunities of the use of EMG in studying the evolution of motor control in vertebrates and provide original previously unpublished data to illustrate this. The relative timing of activation of a set of muscles can be used to evaluate CNS coordination of the components in a musculoskeletal system. Studies of relative timing reveal task-dependent variability in the recruitment of different populations of muscle fibers (i.e., different fiber types) within a single muscle, and left-right asymmetries in activation that need to be taken into account in comparative studies. The magnitude of muscle recruitment is strongly influenced by the instantaneous demands imposed on the system, and is likely determined by local reflex-control systems. Consequently, using EMG to make meaningful inferences about evolutionary changes in musculoskeletal control requires comparisons across similar functional tasks. Moreover, our data show that inferences about the evolution of motor control are limited in their explanatory power without proper insights into the kinematics and dynamics of a system.

Year:  2008        PMID: 21669789     DOI: 10.1093/icb/icn025

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  8 in total

1.  Regional differences in length change and electromyographic heterogeneity in sternohyoid muscle during infant mammalian swallowing.

Authors:  Nicolai Konow; Allan Thexton; A W Crompton; Rebecca Z German
Journal:  J Appl Physiol (1985)       Date:  2010-06-10

2.  Evolution of muscle activity patterns driving motions of the jaw and hyoid during chewing in Gnathostomes.

Authors:  Nicolai Konow; Anthony Herrel; Callum F Ross; Susan H Williams; Rebecca Z German; Christopher P J Sanford; Chris Gintof
Journal:  Integr Comp Biol       Date:  2011-06-24       Impact factor: 3.326

Review 3.  Functional and architectural complexity within and between muscles: regional variation and intermuscular force transmission.

Authors:  Timothy E Higham; Andrew A Biewener
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-05-27       Impact factor: 6.237

4.  Structural tissue organization in the beak of Java and Darwin's finches.

Authors:  Annelies Genbrugge; Dominique Adriaens; Barbara De Kegel; Loes Brabant; Luc Van Hoorebeke; Jeffrey Podos; Joris Dirckx; Peter Aerts; Anthony Herrel
Journal:  J Anat       Date:  2012-09-02       Impact factor: 2.610

5.  Quantitative axial myology in two constricting snakes: Lampropeltis holbrooki and Pantherophis obsoletus.

Authors:  David A Penning
Journal:  J Anat       Date:  2018-02-27       Impact factor: 2.610

Review 6.  Overview of FEED, the feeding experiments end-user database.

Authors:  Christine E Wall; Christopher J Vinyard; Susan H Williams; Vladimir Gapeyev; Xianhua Liu; Hilmar Lapp; Rebecca Z German
Journal:  Integr Comp Biol       Date:  2011-06-22       Impact factor: 3.326

Review 7.  Neural regulation of cardiovascular response to exercise: role of central command and peripheral afferents.

Authors:  Antonio C L Nobrega; Donal O'Leary; Bruno Moreira Silva; Elisabetta Marongiu; Massimo F Piepoli; Antonio Crisafulli
Journal:  Biomed Res Int       Date:  2014-04-09       Impact factor: 3.411

Review 8.  Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges.

Authors:  Kostas Nizamis; Alkinoos Athanasiou; Sofia Almpani; Christos Dimitrousis; Alexander Astaras
Journal:  Sensors (Basel)       Date:  2021-03-16       Impact factor: 3.576

  8 in total

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