Literature DB >> 11713627

Structure of motor variability in marginally redundant multifinger force production tasks.

M L Latash1, J F Scholz, F Danion, G Schöner.   

Abstract

The framework of the uncontrolled manifold hypothesis (UCM hypothesis) was applied to the analysis of the structure of finger force variability during oscillatory force production tasks. Subjects produced cycles of force with one, two (index and middle), or three (index, middle, and ring) fingers acting in parallel against force sensors mounted inside a small frame. The frame could be placed on the top of a table (stable conditions) or on a 4-mm-wide supporting surface (unstable conditions). Subjects were less variable when they used two fingers than when using one finger; adding the third finger did not change indices of variability of the performance. Components of finger force variance that did (VUN) or did not (VCOMP) change the value of a particular functional variable were computed for two control hypotheses: (1) at each time, the subjects tried to stabilize the total value of force (force-control); and (2), at each time, the subjects tried to stabilize the total moment produced with respect to an axis parallel to the hand/forearm (moment-control). Most subjects showed selective stabilization of moment and destabilization of force throughout most of the force cycle, in both stable and unstable conditions. The shapes of VUN and VCOMP suggested a possibility of selective compensation of timing errors across fingers within force cycles. One subject showed different relations between VUN and VCOMP, suggesting that these relations did in fact reflect particular central strategies of solving the tasks. The UCM method is applicable to force production tasks. It allows the comparison of control hypotheses in a quantitative way and unveils central strategies of control of redundant motor systems. Within this approach, redundancy (rather, abundance) is not a problem but an inherent part of a solution for natural motor tasks.

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Year:  2001        PMID: 11713627     DOI: 10.1007/s002210100861

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


  133 in total

1.  Prehension synergies: effects of object geometry and prescribed torques.

Authors:  V M Zatsiorsky; F Gao; M L Latash
Journal:  Exp Brain Res       Date:  2002-11-12       Impact factor: 1.972

2.  Age-related changes in optimality and motor variability: an example of multifinger redundant tasks.

Authors:  Jaebum Park; Yao Sun; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2011-04-26       Impact factor: 1.972

3.  Changes in finger coordination and responses to single pulse TMS of motor cortex during practice of a multifinger force production task.

Authors:  Mark L Latash; Kielan Yarrow; John C Rothwell
Journal:  Exp Brain Res       Date:  2003-05-10       Impact factor: 1.972

4.  Effect of accuracy constraint on joint coordination during pointing movements.

Authors:  Ya-Weng Tseng; John P Scholz; Gregor Schöner; Lawrence Hotchkiss
Journal:  Exp Brain Res       Date:  2003-01-31       Impact factor: 1.972

5.  Prehension synergies: trial-to-trial variability and hierarchical organization of stable performance.

Authors:  Jae K Shim; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Exp Brain Res       Date:  2003-07-26       Impact factor: 1.972

6.  Learning multi-finger synergies: an uncontrolled manifold analysis.

Authors:  Ning Kang; Minoru Shinohara; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2004-03-20       Impact factor: 1.972

7.  Age-related changes in finger coordination in static prehension tasks.

Authors:  Jae Kun Shim; Brendan S Lay; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Appl Physiol (1985)       Date:  2004-03-05

8.  Finger interaction during accurate multi-finger force production tasks in young and elderly persons.

Authors:  Minoru Shinohara; John P Scholz; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2004-02-19       Impact factor: 1.972

9.  Extracting synergies in gait: using EMG variability to evaluate control strategies.

Authors:  Rajiv Ranganathan; Chandramouli Krishnan
Journal:  J Neurophysiol       Date:  2012-06-20       Impact factor: 2.714

10.  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
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