Literature DB >> 12626614

Task-dependent modulation of multi-digit force coordination patterns.

Matthew P Rearick1, Amparo Casares, Marco Santello.   

Abstract

When grasping and holding an object with five digits under a variety of task constraints, subjects use well-defined force coordination patterns, i.e., consistent force covariations and in-phase synchronization among all digit pairs. The question arises as to whether these force coordination patterns are default mechanisms for controlling multi-digit force production or whether they are specific to lifting and holding an object. To address this question, we asked subjects to grasp a manipulandum and exert forces with five digits simultaneously so as to match a force template measured from an actual object grasp, lift, and hold task (GLH). Unlike GLH, the force production task (FP) lacked the constraint of having to maintain object stability against gravity. The amplitude of individual finger forces and force covariations were similar for both tasks (with the exception of the little finger, which tended to produce less force in FP). Nonetheless, when multiple grip forces were not required to hold the manipulandum against gravity (FP), there was a significantly lower tendency for forces to be synchronized with higher intertrial variability of phase differences between forces exerted by all digit-pairs. Furthermore, the tendency for force phase differences to cluster at 0 degrees was lower for FP than GLH. These results suggest that some aspects of the control of multi-digit grasping, i.e., force synchronization, are specific to object lift and hold rather than to the production of multi-digit forces. Modeling work suggests that motor unit synchronization might play an important role in the modulation of force synchronization patterns.

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Year:  2003        PMID: 12626614     DOI: 10.1152/jn.00581.2002

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  23 in total

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

2.  Effects of carpal tunnel syndrome on adaptation of multi-digit forces to object texture.

Authors:  Mostafa Afifi; Marco Santello; Jamie A Johnston
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3.  Periodic modulation of motor-unit activity in extrinsic hand muscles during multidigit grasping.

Authors:  Jamie A Johnston; Sara A Winges; Marco Santello
Journal:  J Neurophysiol       Date:  2005-03-02       Impact factor: 2.714

4.  Role of across-muscle motor unit synchrony for the coordination of forces.

Authors:  Marco Santello; Andrew J Fuglevand
Journal:  Exp Brain Res       Date:  2004-06-26       Impact factor: 1.972

5.  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

6.  Neuromuscular determinants of force coordination during multidigit grasping.

Authors:  J A Johnston; S A Winges; M Santello
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2004

7.  From single motor unit activity to multiple grip forces: mini-review of multi-digit grasping.

Authors:  Sara A Winges; Marco Santello
Journal:  Integr Comp Biol       Date:  2005       Impact factor: 3.326

8.  Perturbation-induced fast drifts in finger enslaving.

Authors:  Joseph Ricotta; Cristian Cuadra; Jacob S Evans; Mark L Latash
Journal:  Exp Brain Res       Date:  2021-01-09       Impact factor: 1.972

9.  On the origin of finger enslaving: control with referent coordinates and effects of visual feedback.

Authors:  Valters Abolins; Alex Stremoukhov; Caroline Walter; Mark L Latash
Journal:  J Neurophysiol       Date:  2020-09-30       Impact factor: 2.714

10.  On identifying kinematic and muscle synergies: a comparison of matrix factorization methods using experimental data from the healthy population.

Authors:  Navid Lambert-Shirzad; H F Machiel Van der Loos
Journal:  J Neurophysiol       Date:  2016-11-16       Impact factor: 2.714

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