Literature DB >> 22581539

Using submaximal contractions to predict the maximum force-generating ability of muscles.

Sarah Flynn1, Brian A Knarr, Ramu Perumal, Trisha M Kesar, Stuart A Binder-Macleod.   

Abstract

INTRODUCTION: Muscle weakness can be caused by decreases in either the maximum force-generating ability of a muscle (MFGA) or neural drive from the nervous system (e.g., after a stroke). Presently, there is no agreed-upon practical method for calculating the MFGA in individuals with central nervous system pathology. The purpose of this study was to identify the best method for determining MFGA.
METHODS: The predicted and estimated MFGA of the muscles of 23 non-neurologically impaired subjects (13 males, 21.9 ± 1.9 years) were compared using the burst superimposition, twitch interpolation, doublet interpolation, twitch-to-tetanus ratio, and the adjusted burst superimposition methods.
RESULTS: The adjusted burst superimposition test was the most accurate predictor of MFGA.
CONCLUSIONS: Further testing is needed to validate the use of the adjusted burst superimposition test in a neurologically impaired population.
Copyright © 2011 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2012        PMID: 22581539      PMCID: PMC3353723          DOI: 10.1002/mus.23254

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  33 in total

1.  Twitch interpolation in human muscles: mechanisms and implications for measurement of voluntary activation.

Authors:  R D Herbert; S C Gandevia
Journal:  J Neurophysiol       Date:  1999-11       Impact factor: 2.714

2.  Voluntary activation failure contributes more to plantar flexor weakness than antagonist coactivation and muscle atrophy in chronic stroke survivors.

Authors:  Cliff S Klein; Dina Brooks; Denyse Richardson; William E McIlroy; Mark T Bayley
Journal:  J Appl Physiol (1985)       Date:  2010-08-19

3.  Random motor unit activation by electrostimulation.

Authors:  M Jubeau; J Gondin; A Martin; A Sartorio; N A Maffiuletti
Journal:  Int J Sports Med       Date:  2007-05-24       Impact factor: 3.118

4.  Point: the interpolated twitch does/does not provide a valid measure of the voluntary activation of muscle.

Authors:  Janet L Taylor
Journal:  J Appl Physiol (1985)       Date:  2008-09-18

5.  Maximum voluntary activation in nonfatigued and fatigued muscle of young and elderly individuals.

Authors:  S K Stackhouse; J E Stevens; S C Lee; K M Pearce; L Snyder-Mackler; S A Binder-Macleod
Journal:  Phys Ther       Date:  2001-05

6.  Measurement of central activation failure of the quadriceps femoris in healthy adults.

Authors:  S K Stackhouse; J C Dean; S C Lee; S A Binder-MacLeod
Journal:  Muscle Nerve       Date:  2000-11       Impact factor: 3.217

7.  Is the ability to maximally activate the dorsiflexors in men and women affected by indwelling electromyography needles?

Authors:  Ruth E Brown; Sara H Bruce; Jennifer M Jakobi
Journal:  Arch Phys Med Rehabil       Date:  2009-12       Impact factor: 3.966

Review 8.  Quadriceps activation following knee injuries: a systematic review.

Authors:  Joseph M Hart; Brian Pietrosimone; Jay Hertel; Christopher D Ingersoll
Journal:  J Athl Train       Date:  2010 Jan-Feb       Impact factor: 2.860

9.  In vivo measurements of muscle specific tension in adults and children.

Authors:  Thomas D O'Brien; Neil D Reeves; Vasilios Baltzopoulos; David A Jones; Constantinos N Maganaris
Journal:  Exp Physiol       Date:  2009-09-11       Impact factor: 2.969

10.  Predicting muscle forces of individuals with hemiparesis following stroke.

Authors:  Trisha M Kesar; Jun Ding; Anthony S Wexler; Ramu Perumal; Ryan Maladen; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2008-02-27       Impact factor: 4.262

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  6 in total

1.  Validation of an adjustment equation for the burst superimposition technique in subjects post-stroke.

Authors:  Brian A Knarr; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2012-08       Impact factor: 3.217

2.  Comparison of techniques to determine human skeletal muscle voluntary activation.

Authors:  Anastasia Zarkou; Scott Stackhouse; Stuart A Binder-Macleod; Samuel C K Lee
Journal:  J Electromyogr Kinesiol       Date:  2017-06-08       Impact factor: 2.368

3.  Muscle volume as a predictor of maximum force generating ability in the plantar flexors post-stroke.

Authors:  Brian A Knarr; John W Ramsay; Thomas S Buchanan; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2013-09-11       Impact factor: 3.217

4.  Changes in predicted muscle coordination with subject-specific muscle parameters for individuals after stroke.

Authors:  Brian A Knarr; Darcy S Reisman; Stuart A Binder-Macleod; Jill S Higginson
Journal:  Stroke Res Treat       Date:  2014-06-25

5.  Neural Activation During Submaximal Contractions Seems More Reflective of Neuromuscular Ageing than Maximal Voluntary Activation.

Authors:  Gil Scaglioni; Marco V Narici; Alain Martin
Journal:  Front Aging Neurosci       Date:  2016-02-25       Impact factor: 5.750

Review 6.  These legs were made for propulsion: advancing the diagnosis and treatment of post-stroke propulsion deficits.

Authors:  Louis N Awad; Michael D Lewek; Trisha M Kesar; Jason R Franz; Mark G Bowden
Journal:  J Neuroeng Rehabil       Date:  2020-10-21       Impact factor: 4.262

  6 in total

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