Literature DB >> 19944745

Adaptation to selective visual scaling of short time scale processes in isometric force.

Xiaogang Hu1, Karl M Newell.   

Abstract

This study investigated the effect of selectively increasing the visual scale of the high frequency components on isometric force control. The higher frequency bandwidths (4-8 Hz or 8-12 Hz) of the force output were amplified visually by a scaling factor (0, 2, 4, 6, 8). Four types of force targets (i.e. constant, sine function, pink noise, and brown noise) that required different control strategies were examined. In the constant and to a lesser extent the pink noise task the enhanced visual scaling information progressively reduced the contribution to the force signal of the respective (4-8 Hz or 8-12 Hz) bandwidth and also in the neighboring frequency bandwidths (0-4 Hz or 4-8 Hz). The frequency analysis in the constant target condition showed that selectively increasing the visual scale of the high frequency bandwidths changed the whole frequency spectrum of the potential adaptive force range (0-12 Hz) rather than only the specific bandwidth being scaled. This rescaling of the whole frequency spectrum led, however, to increase performance error in the constant and sine function targets. These findings show that the multiple time scale process of isometric force control are constrained by the predictive properties of the force output and the relative contribution of feedforward and feedback processes to task outcome. (c) 2009 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2009        PMID: 19944745     DOI: 10.1016/j.neulet.2009.11.059

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


  9 in total

1.  Time gain influences adaptive visual-motor isometric force control.

Authors:  Xiaogang Hu; Molly M Mazich; Karl M Newell
Journal:  Exp Brain Res       Date:  2012-01-26       Impact factor: 1.972

2.  Visual information interacts with neuromuscular factors in the coordination of bimanual isometric force.

Authors:  Xiaogang Hu; Mike Loncharich; Karl M Newell
Journal:  Exp Brain Res       Date:  2010-12-28       Impact factor: 1.972

3.  Visual information gain and task asymmetry interact in bimanual force coordination and control.

Authors:  Xiaogang Hu; Karl M Newell
Journal:  Exp Brain Res       Date:  2011-06-11       Impact factor: 1.972

4.  Age-related differences in finger force control are characterized by reduced force production.

Authors:  Solveig Vieluf; Ben Godde; Eva-Maria Reuter; Claudia Voelcker-Rehage
Journal:  Exp Brain Res       Date:  2012-10-18       Impact factor: 1.972

5.  Dynamical signatures of isometric force control as a function of age, expertise, and task constraints.

Authors:  Solveig Vieluf; Rita Sleimen-Malkoun; Claudia Voelcker-Rehage; Viktor Jirsa; Eva-Maria Reuter; Ben Godde; Jean-Jacques Temprado; Raoul Huys
Journal:  J Neurophysiol       Date:  2017-03-29       Impact factor: 2.714

6.  Feedforward and feedback motor control abnormalities implicate cerebellar dysfunctions in autism spectrum disorder.

Authors:  Matthew W Mosconi; Suman Mohanty; Rachel K Greene; Edwin H Cook; David E Vaillancourt; John A Sweeney
Journal:  J Neurosci       Date:  2015-02-04       Impact factor: 6.167

7.  Unintentional force drifts across the human fingers: implications for the neural control of finger tasks.

Authors:  Valters Abolins; Mark L Latash
Journal:  Exp Brain Res       Date:  2022-01-13       Impact factor: 1.972

8.  Real-time slacking as a default mode of grip force control: implications for force minimization and personal grip force variation.

Authors:  Brendan W Smith; Justin B Rowe; David J Reinkensmeyer
Journal:  J Neurophysiol       Date:  2018-08-08       Impact factor: 2.714

9.  Effects of task and age on the magnitude and structure of force fluctuations: insights into underlying neuro-behavioral processes.

Authors:  Solveig Vieluf; Jean-Jacques Temprado; Eric Berton; Viktor K Jirsa; Rita Sleimen-Malkoun
Journal:  BMC Neurosci       Date:  2015-03-13       Impact factor: 3.288

  9 in total

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