Literature DB >> 18327575

The effects of neuromuscular fatigue on task performance during repetitive goal-directed movements.

Deanna H Gates1, Jonathan B Dingwell.   

Abstract

Proper movement timing is essential to the successful execution of many motor tasks and may be adversely affected by muscle fatigue. This study quantified how muscle fatigue affected task performance during a repetitive upper extremity task. A total of 14 healthy young adults pushed a low load back and forth along a low-friction horizontal track in time with a metronome until volitional exhaustion. Kinematic, force, and electromyography (EMG) data were measured continuously throughout the task. The first and last 3.5 min were analyzed to represent "early" and "late" fatigue. Means and standard deviations of movement distance, speed, and timing errors were computed. We also decomposed variations in movement distance and speed into deviations that directly affected achieving the task goal and those that did not, by identifying the goal equivalent manifold (GEM) of all valid solutions to this task. Detrended fluctuation analysis was used to quantify the temporal persistence in each time series. Principle components analysis provided a direct measure of alignment with the GEM. Median power frequencies of the EMG significantly decreased in six of the nine muscles tested indicating that subjects did fatigue. However, there were no differences in the means or variability of movement distance, speed, or timing errors. Thus, subjects maintained overall performance despite fatigue. Subjects applied slightly higher peak handle forces when they were fatigued (P = 0.032). Muscle fatigue caused significant reductions in the temporal persistence of movement speed (P = 0.037) and timing errors (P = 0.046), indicating that subjects corrected errors more quickly when fatigued. Mean deviations and variability perpendicular to the GEM were much smaller than variability along the GEM (P < 0.001). Deviations perpendicular to the GEM were also corrected much more rapidly than those along the GEM (P < 0.001). Subjects aligned themselves very closely (<+/-7 degrees ), but not exactly (P < 0.001), with the GEM. These measures were not significantly affected by muscle fatigue. Overall, these results indicated that subjects altered their biomechanical movement patterns in response to muscle fatigue, but did so in a way that specifically preserved the goal relevant features of task performance.

Entities:  

Mesh:

Year:  2008        PMID: 18327575      PMCID: PMC2825378          DOI: 10.1007/s00221-008-1326-8

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  45 in total

1.  Changes in movement final position associated with agonist and antagonist muscle fatigue.

Authors:  S Jaric; S Blesic; S Milanovic; S Radovanovic; M Ljubisavljevic; R Anastasijevic
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1999-10

2.  Adaptation to fatigue of long duration in human wrist movements.

Authors:  C A Lucidi; S L Lehman
Journal:  J Appl Physiol (1985)       Date:  1992-12

3.  Possible Biomechanical Origins of the Long-Range Correlations in Stride Intervals of Walking.

Authors:  Deanna H Gates; Jimmy L Su; Jonathan B Dingwell
Journal:  Physica A       Date:  2007-07-01       Impact factor: 3.263

4.  Muscular response to sudden load. A tool to evaluate fatigue and rehabilitation.

Authors:  D G Wilder; A R Aleksiev; M L Magnusson; M H Pope; K F Spratt; V K Goel
Journal:  Spine (Phila Pa 1976)       Date:  1996-11-15       Impact factor: 3.468

5.  The accuracy and precision of timing of self-paced, repetitive movements in subjects with Parkinson's disease.

Authors:  D J O'Boyle; J S Freeman; F W Cody
Journal:  Brain       Date:  1996-02       Impact factor: 13.501

6.  Memory representations underlying motor commands used during manipulation of common and novel objects.

Authors:  A M Gordon; G Westling; K J Cole; R S Johansson
Journal:  J Neurophysiol       Date:  1993-06       Impact factor: 2.714

7.  Effects of motor fatigue on human brain activity, an fMRI study.

Authors:  Hiske van Duinen; Remco Renken; Natasha Maurits; Inge Zijdewind
Journal:  Neuroimage       Date:  2007-02-15       Impact factor: 6.556

Review 8.  Spinal and supraspinal factors in human muscle fatigue.

Authors:  S C Gandevia
Journal:  Physiol Rev       Date:  2001-10       Impact factor: 37.312

9.  Is walking a random walk? Evidence for long-range correlations in stride interval of human gait.

Authors:  J M Hausdorff; C K Peng; Z Ladin; J Y Wei; A L Goldberger
Journal:  J Appl Physiol (1985)       Date:  1995-01

10.  Psychophysical bases of perceived exertion.

Authors:  G A Borg
Journal:  Med Sci Sports Exerc       Date:  1982       Impact factor: 5.411

View more
  34 in total

1.  Pedaling time variability is increased in dropped riding position.

Authors:  Johnny Padulo; Roberto Di Capua; Davide Viggiano
Journal:  Eur J Appl Physiol       Date:  2011-12-20       Impact factor: 3.078

2.  Age-related changes in the control of finger force vectors.

Authors:  Shweta Kapur; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Appl Physiol (1985)       Date:  2010-09-09

3.  Does motor interference arise from mirror system activation? The effect of prior visuo-motor practice on automatic imitation.

Authors:  Rémi L Capa; Peter J Marshall; Thomas F Shipley; Robin N Salesse; Cédric A Bouquet
Journal:  Psychol Res       Date:  2010-07-29

4.  Fatigue and motor redundancy: adaptive increase in finger force variance in multi-finger tasks.

Authors:  Tarkeshwar Singh; S K M Varadhan; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Neurophysiol       Date:  2010-03-31       Impact factor: 2.714

5.  Prehension synergies during fatigue of a single digit: adaptations in control with referent configurations.

Authors:  Tarkeshwar Singh; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Motor Control       Date:  2014-01-21       Impact factor: 1.422

6.  Time-dependent adaptations to posture and movement characteristics during the development of repetitive reaching induced fatigue.

Authors:  Jason R Fuller; Joyce Fung; Julie N Côté
Journal:  Exp Brain Res       Date:  2011-04-12       Impact factor: 1.972

Review 7.  Human movement variability, nonlinear dynamics, and pathology: is there a connection?

Authors:  Nicholas Stergiou; Leslie M Decker
Journal:  Hum Mov Sci       Date:  2011-07-29       Impact factor: 2.161

8.  An exploration of linear and curvilinear relationships between community participation and neurocognition among those with serious mental illnesses.

Authors:  Elizabeth C Thomas; Gretchen Snethen; Bryan McCormick; Mark S Salzer
Journal:  Psychiatr Rehabil J       Date:  2019-04-04

Review 9.  Movement variability near goal equivalent manifolds: fluctuations, control, and model-based analysis.

Authors:  Joseph P Cusumano; Jonathan B Dingwell
Journal:  Hum Mov Sci       Date:  2013-11-07       Impact factor: 2.161

10.  Muscle fatigue does not lead to increased instability of upper extremity repetitive movements.

Authors:  Deanna H Gates; Jonathan B Dingwell
Journal:  J Biomech       Date:  2009-11-26       Impact factor: 2.712

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.