Literature DB >> 18425506

Do synergies decrease force variability? A study of single-finger and multi-finger force production.

Elena Yu Shapkova1, Alexandra L Shapkova, Simon R Goodman, Vladimir M Zatsiorsky, Mark L Latash.   

Abstract

We tested a hypothesis that force production by multi-finger groups leads to lower indices of force variability as compared to similar single-finger tasks. Three experiments were performed with quick force production, steady-state force production under visual feedback, and steady-state force production without visual feedback. In all experiments, a range of force levels was used computed as percentages of the maximal voluntary contraction force for each involved finger combination. Force standard deviation increased linearly with force magnitude across all three experiments and all finger combinations. There were modest differences between multi-finger and single-finger tasks in the indices of force variability, significant only in the tasks with steady-state force production under visual feedback. When fingers acted in groups, each finger showed significantly higher force variability as compared to its single-finger task and as compared to the multi-finger group as a whole. Fingers that were not instructed to produce force also showed close to linear relations between force standard deviation and force magnitude. For these fingers, indices of force variability were much higher as compared to those computed for the forces produced by instructed fingers. We interpret the findings within a feed-forward scheme of multi-finger control with two inputs only one of which is related to the explicit task. The total force variability reflects variability in only the task-related component, while variability of the finger forces is also due to variability of the component that is not related to the task. The findings tentatively suggest that total force variability originates at an upper level of the control hierarchy in accordance to the Weber-Fechner law rather than reflects a "neural noise" at the segmental level.

Mesh:

Year:  2008        PMID: 18425506      PMCID: PMC2561191          DOI: 10.1007/s00221-008-1371-3

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


  38 in total

1.  Noise, information transmission, and force variability.

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2.  The uncontrolled manifold concept: identifying control variables for a functional task.

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Journal:  Exp Brain Res       Date:  1999-06       Impact factor: 1.972

3.  Understanding finger coordination through analysis of the structure of force variability.

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Review 4.  Confidence and accuracy of near-threshold discrimination responses.

Authors:  C Kunimoto; J Miller; H Pashler
Journal:  Conscious Cogn       Date:  2001-09

5.  Variability and noise in continuous force production.

Authors:  A B Slifkin; K M Newell
Journal:  J Mot Behav       Date:  2000-06       Impact factor: 1.328

6.  Optimal feedback control as a theory of motor coordination.

Authors:  Emanuel Todorov; Michael I Jordan
Journal:  Nat Neurosci       Date:  2002-11       Impact factor: 24.884

7.  Feed-forward control of a redundant motor system.

Authors:  Simon R Goodman; Mark L Latash
Journal:  Biol Cybern       Date:  2006-07-12       Impact factor: 2.086

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Authors:  Anatol G Feldman; Valeri Goussev; Archana Sangole; Mindy F Levin
Journal:  Prog Brain Res       Date:  2007       Impact factor: 2.453

9.  Coordinated force production in multi-finger tasks: finger interaction and neural network modeling.

Authors:  V M Zatsiorsky; Z M Li; M L Latash
Journal:  Biol Cybern       Date:  1998-08       Impact factor: 2.086

10.  Anticipatory covariation of finger forces during self-paced and reaction time force production.

Authors:  Halla Olafsdottir; Naoki Yoshida; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Neurosci Lett       Date:  2005-02-25       Impact factor: 3.046

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  34 in total

1.  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

2.  The nature of constant and cyclic force production: unintentional force-drift characteristics.

Authors:  Satyajit Ambike; Daniela Mattos; Vladimir M Zatsiorsky; Mark L Latash
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3.  Unintentional movements produced by back-coupling between the actual and referent body configurations: violations of equifinality in multi-joint positional tasks.

Authors:  Tao Zhou; Stanislaw Solnik; Yen-Hsun Wu; Mark L Latash
Journal:  Exp Brain Res       Date:  2014-08-24       Impact factor: 1.972

4.  Equifinality and its violations in a redundant system: multifinger accurate force production.

Authors:  Luke Wilhelm; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Neurophysiol       Date:  2013-07-31       Impact factor: 2.714

5.  Internal forces during static prehension: effects of age and grasp configuration.

Authors:  Stanislaw Solnik; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Mot Behav       Date:  2014-03-20       Impact factor: 1.328

6.  Bimanual force control: cooperation and interference?

Authors:  Deanna M Kennedy; Jason B Boyle; Chaoyi Wang; Charles H Shea
Journal:  Psychol Res       Date:  2014-12-07

7.  Processes underlying unintentional finger-force changes in the absence of visual feedback.

Authors:  Satyajit Ambike; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2014-11-23       Impact factor: 1.972

8.  Task-specific stability of multifinger steady-state action.

Authors:  Sasha Reschechtko; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Mot Behav       Date:  2015-01-07       Impact factor: 1.328

9.  Task-specific stability in muscle activation space during unintentional movements.

Authors:  Ali Falaki; Farzad Towhidkhah; Tao Zhou; Mark L Latash
Journal:  Exp Brain Res       Date:  2014-08-06       Impact factor: 1.972

Review 10.  Structure learning in action.

Authors:  Daniel A Braun; Carsten Mehring; Daniel M Wolpert
Journal:  Behav Brain Res       Date:  2009-08-29       Impact factor: 3.332

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