Literature DB >> 16188384

Independence between the amount and structure of variability at low force levels.

Jacob J Sosnoff1, Andrew D Valantine, Karl M Newell.   

Abstract

The purpose of the current experiment was to investigate the amount (standard deviation (S.D.) and coefficient of variation (CV)) and structure (approximate entropy (ApEn)) of force variability at very low force levels. Participants produced isometric force output of index finger abduction at five levels (0.4, 0.8, 1.0, 2.0, and 4.0 N) with high and low visual feedback gain. The findings showed that: subjects scaled their force output to the targets; S.D. increased non-linearly with force level and decreased with visual gain; and CV decreased with force level as well as visual gain. ApEn of the force output did not change as a function of force level, although the high gain increased ApEn in contrast to low gain. It is proposed that the recruitment of additional motor units at very low force levels does not significantly alter the structure of the force output, although it does increase the magnitude of force and its amount of variability. Overall, the findings provide evidence that the amount and structure of motor variability can be influenced by separate control processes at low force levels.

Entities:  

Mesh:

Year:  2005        PMID: 16188384     DOI: 10.1016/j.neulet.2005.09.010

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  36 in total

1.  Motor unit recruitment strategies and muscle properties determine the influence of synaptic noise on force steadiness.

Authors:  Jakob L Dideriksen; Francesco Negro; Roger M Enoka; Dario Farina
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

2.  Accurate production of time-varying patterns of the moment of force in multi-finger tasks.

Authors:  Wei Zhang; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2006-05-24       Impact factor: 1.972

3.  A central source of movement variability.

Authors:  Mark M Churchland; Afsheen Afshar; Krishna V Shenoy
Journal:  Neuron       Date:  2006-12-21       Impact factor: 17.173

4.  Changes in the degree of motor variability associated with experimental and chronic neck-shoulder pain during a standardised repetitive arm movement.

Authors:  Pascal Madeleine; Svend Erik Mathiassen; Lars Arendt-Nielsen
Journal:  Exp Brain Res       Date:  2007-11-20       Impact factor: 1.972

5.  Biofeedback in psychomotor training. Electrophysiological basis.

Authors:  O M Bazanova; E M Mernaya; M B Shtark
Journal:  Neurosci Behav Physiol       Date:  2009-05-12

6.  Practice and age-related loss of adaptability in sensorimotor performance.

Authors:  Jacob J Sosnoff; Stefani J Voudrie
Journal:  J Mot Behav       Date:  2009-03       Impact factor: 1.328

7.  Complexity of force output during static exercise in individuals with Down syndrome.

Authors:  Kevin S Heffernan; Jacob J Sosnoff; Edward Ofori; Sae Young Jae; Tracy Baynard; Scott R Collier; Stella Goulopoulou; Arturo Figueroa; Jeffrey A Woods; Kenneth H Pitetti; Bo Fernhall
Journal:  J Appl Physiol (1985)       Date:  2009-01-22

8.  Visual information gain and the regulation of constant force levels.

Authors:  S Lee Hong; Karl M Newell
Journal:  Exp Brain Res       Date:  2008-05-10       Impact factor: 1.972

9.  Reactive grip force control in persons with cerebellar stroke: effects on ipsilateral and contralateral hand.

Authors:  Elisabeth Anens; Bo Kristensen; Charlotte Häger-Ross
Journal:  Exp Brain Res       Date:  2010-03-09       Impact factor: 1.972

10.  Greater amount of visual feedback decreases force variability by reducing force oscillations from 0-1 and 3-7 Hz.

Authors:  Harsimran S Baweja; Deanna M Kennedy; Julie Vu; David E Vaillancourt; Evangelos A Christou
Journal:  Eur J Appl Physiol       Date:  2009-12-02       Impact factor: 3.078

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.