Literature DB >> 26609085

Nature of the coupling between neural drive and force-generating capacity in the human quadriceps muscle.

François Hug1, Clément Goupille2, Daniel Baum3, Brent J Raiteri4, Paul W Hodges5, Kylie Tucker6.   

Abstract

The force produced by a muscle depends on both the neural drive it receives and several biomechanical factors. When multiple muscles act on a single joint, the nature of the relationship between the neural drive and force-generating capacity of the synergistic muscles is largely unknown. This study aimed to determine the relationship between the ratio of neural drive and the ratio of muscle force-generating capacity between two synergist muscles (vastus lateralis (VL) and vastus medialis (VM)) in humans. Twenty-one participants performed isometric knee extensions at 20 and 50% of maximal voluntary contractions (MVC). Myoelectric activity (surface electromyography (EMG)) provided an index of neural drive. Physiological cross-sectional area (PCSA) was estimated from measurements of muscle volume (magnetic resonance imaging) and muscle fascicle length (three-dimensional ultrasound imaging) to represent the muscles' force-generating capacities. Neither PCSA nor neural drive was balanced between VL and VM. There was a large (r = 0.68) and moderate (r = 0.43) correlation between the ratio of VL/VM EMG amplitude and the ratio of VL/VM PCSA at 20 and 50% of MVC, respectively. This study provides evidence that neural drive is biased by muscle force-generating capacity, the greater the force-generating capacity of VL compared with VM, the stronger bias of drive to the VL.
© 2015 The Author(s).

Entities:  

Keywords:  electromyography; physiological cross-sectional area; quadriceps

Mesh:

Year:  2015        PMID: 26609085      PMCID: PMC4685812          DOI: 10.1098/rspb.2015.1908

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  45 in total

1.  Activation linearity and parallelism of the superficial quadriceps across the isometric intensity spectrum.

Authors:  D M Pincivero; A J Coelho
Journal:  Muscle Nerve       Date:  2000-03       Impact factor: 3.217

Review 2.  Variability in human quadriceps muscles: quantitative study and review of clinical literature.

Authors:  P L T Willan; J A Ransome; M Mahon
Journal:  Clin Anat       Date:  2002-03       Impact factor: 2.414

Review 3.  Optimality principles in sensorimotor control.

Authors:  Emanuel Todorov
Journal:  Nat Neurosci       Date:  2004-09       Impact factor: 24.884

Review 4.  The extraction of neural strategies from the surface EMG.

Authors:  Dario Farina; Roberto Merletti; Roger M Enoka
Journal:  J Appl Physiol (1985)       Date:  2004-04

5.  Data on the distribution of fibre types in thirty-six human muscles. An autopsy study.

Authors:  M A Johnson; J Polgar; D Weightman; D Appleton
Journal:  J Neurol Sci       Date:  1973-01       Impact factor: 3.181

6.  Physiological alterations of maximal voluntary quadriceps activation by changes of knee joint angle.

Authors:  R Becker; F Awiszus
Journal:  Muscle Nerve       Date:  2001-05       Impact factor: 3.217

7.  The relationship between torque and joint angle during knee extension in boys and men.

Authors:  V Marginson; R Eston
Journal:  J Sports Sci       Date:  2001-11       Impact factor: 3.337

8.  Predictability of skeletal muscle tension from architectural determinations in guinea pig hindlimbs.

Authors:  P L Powell; R R Roy; P Kanim; M A Bello; V R Edgerton
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1984-12

9.  Reproducible measurement of voluntary activation of human elbow flexors with motor cortical stimulation.

Authors:  Gabrielle Todd; Janet L Taylor; S C Gandevia
Journal:  J Appl Physiol (1985)       Date:  2004-03-19

10.  Motor Neuron Pools of Synergistic Thigh Muscles Share Most of Their Synaptic Input.

Authors:  Christopher M Laine; Eduardo Martinez-Valdes; Deborah Falla; Frank Mayer; Dario Farina
Journal:  J Neurosci       Date:  2015-09-02       Impact factor: 6.167

View more
  6 in total

1.  Interlimb differences in parameters of aerobic function and local profiles of deoxygenation during double-leg and counterweighted single-leg cycling.

Authors:  Danilo Iannetta; Louis Passfield; Ahmad Qahtani; Martin J MacInnis; Juan M Murias
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2019-10-16       Impact factor: 3.619

2.  Heterogeneity of passive elastic properties within the quadriceps femoris muscle-tendon unit.

Authors:  Brooke K Coombes; Brandon Ziegenfuss; Michael David; Rohitha Badya; Wolbert van den Hoorn; François Hug; Kylie Tucker
Journal:  Eur J Appl Physiol       Date:  2017-11-17       Impact factor: 3.078

3.  Do individual differences in the distribution of activation between synergist muscles reflect individual strategies?

Authors:  Marion Crouzier; François Hug; Sylvain Dorel; Thibault Deschamps; Kylie Tucker; Lilian Lacourpaille
Journal:  Exp Brain Res       Date:  2018-12-06       Impact factor: 1.972

4.  Revealing the unique features of each individual's muscle activation signatures.

Authors:  Jeroen Aeles; Fabian Horst; Sebastian Lapuschkin; Lilian Lacourpaille; François Hug
Journal:  J R Soc Interface       Date:  2021-01-13       Impact factor: 4.118

5.  Effects of different vibration frequencies, amplitudes and contraction levels on lower limb muscles during graded isometric contractions superimposed on whole body vibration stimulation.

Authors:  Amit N Pujari; Richard D Neilson; Marco Cardinale
Journal:  J Rehabil Assist Technol Eng       Date:  2019-02-07

6.  "Taking action" to reduce pain-Has interpretation of the motor adaptation to pain been too simplistic?

Authors:  Michael Bergin; Kylie Tucker; Bill Vicenzino; Paul W Hodges
Journal:  PLoS One       Date:  2021-12-08       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.