Literature DB >> 8224079

Friction at the digit-object interface scales the sensorimotor transformation for grip responses to pulling loads.

K J Cole1, R S Johansson.   

Abstract

When restraining a mechanically "active" object (one that exerts unpredictable changes in loading forces) with a precision grip of the digits, we maintain a stable grasp by modulating our grip force using somatosensory information related to the loading forces. The response to ramp load increases consists of an initial fast rise in grip force ("catch-up") followed by a secondary response that steadily increases the grip force in parallel with the load force ("tracking"). The sizes of these response components scale in proportion to the loading rate. However, maintaining a stable grasp without employing an exceedingly large grip force may require further scaling of this load-to-grip sensorimotor transformation based on two additional factors: (1) the friction at the digit-object interface and (2) the grip force present at the start of the load increase. The present experiments sought to determine whether such scaling occurs and to characterize its control. Subjects restrained a manipulandum held between the tips of the thumb and index finger. At unpredictable times a pulling force appeared, directed away from the subject's hand. Each pull had a trapezoidal load profile beginning and ending at 0 N with 4-N/s ramps; each ramp was 1 s in duration. The texture of the gripped surfaces varied among sandpaper, suede, and rayon, which represented increasingly slippery surfaces. The grip force at the start of the load ramp (intertrial grip force), and the amplitudes of the catch-up and secondary grip responses scaled in proportion to the inverse friction. We interpret these results to indicate a uniform scaling of the transformations controlling the intertrial grip force, the catch-up response, and the secondary response. Initial-state information from tactile cues available upon object contact appeared to update the frictional scaling value. This conclusion is based on observations of immediate changes in the intertrial grip force upon contact with a new surface, and because differences in force-rate profiles appeared virtually by the onset of the catch-up response. Similarly, the intertrial grip force also constituted initial-state information. The size of the catch-up and secondary grip force responses varied inversely with the size of the intertrial grip force. These scalings of the load-to-grip-force sensorimotor transformation for friction and intertrial grip force level appear to be functionally adaptive, because they contribute to a stable grasp (prevent object slips) while avoiding exceedingly large safety margins.

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Mesh:

Year:  1993        PMID: 8224079     DOI: 10.1007/bf00227146

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


  27 in total

1.  Somatosensory control of precision grip during unpredictable pulling loads. I. Changes in load force amplitude.

Authors:  R S Johansson; R Riso; C Häger; L Bäckström
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

2.  Programmed and triggered actions to rapid load changes during precision grip.

Authors:  R S Johansson; G Westling
Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

3.  Adaptive gain control of saccadic eye movements.

Authors:  H Deubel; W Wolf; G Hauske
Journal:  Hum Neurobiol       Date:  1986

4.  Trajectory control in targeted force impulses. II. Pulse height control.

Authors:  J Gordon; C Ghez
Journal:  Exp Brain Res       Date:  1987       Impact factor: 1.972

5.  Signals in tactile afferents from the fingers eliciting adaptive motor responses during precision grip.

Authors:  R S Johansson; G Westling
Journal:  Exp Brain Res       Date:  1987       Impact factor: 1.972

6.  Anticipatory and reflex coactivation of antagonist muscles in catching.

Authors:  F Lacquaniti; C Maioli
Journal:  Brain Res       Date:  1987-03-17       Impact factor: 3.252

7.  Grip force adjustments evoked by load force perturbations of a grasped object.

Authors:  K J Cole; J H Abbs
Journal:  J Neurophysiol       Date:  1988-10       Impact factor: 2.714

8.  Development of human precision grip. I: Basic coordination of force.

Authors:  H Forssberg; A C Eliasson; H Kinoshita; R S Johansson; G Westling
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

9.  The control of rapid limb movement in the cat. II. Scaling of isometric force adjustments.

Authors:  C Ghez; D Vicario
Journal:  Exp Brain Res       Date:  1978-10-13       Impact factor: 1.972

10.  Adaptive response to ocular muscle weakness in human pursuit and saccadic eye movements.

Authors:  L M Optican; D S Zee; F C Chu
Journal:  J Neurophysiol       Date:  1985-07       Impact factor: 2.714

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  43 in total

1.  Predictions specify reactive control of individual digits in manipulation.

Authors:  Yukari Ohki; Benoni B Edin; Roland S Johansson
Journal:  J Neurosci       Date:  2002-01-15       Impact factor: 6.167

2.  Reactive control of precision grip does not depend on fast transcortical reflex pathways in X-linked Kallmann subjects.

Authors:  L M Harrison; M J Mayston; R S Johansson
Journal:  J Physiol       Date:  2000-09-15       Impact factor: 5.182

3.  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

4.  Motor control goes beyond physics: differential effects of gravity and inertia on finger forces during manipulation of hand-held objects.

Authors:  Vladimir M Zatsiorsky; Fan Gao; Mark L Latash
Journal:  Exp Brain Res       Date:  2004-12-04       Impact factor: 1.972

5.  Maintaining rotational equilibrium during object manipulation: linear behavior of a highly non-linear system.

Authors:  Fan Gao; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Exp Brain Res       Date:  2005-11-17       Impact factor: 1.972

6.  Multi-digit maximum voluntary torque production on a circular object.

Authors:  Jae Kun Shim; Junfeng Huang; Alexander W Hooke; Mark L Latsh; Vladimir M Zatsiorsky
Journal:  Ergonomics       Date:  2007-05       Impact factor: 2.778

7.  Effects of friction at the digit-object interface on the digit forces in multi-finger prehension.

Authors:  Tomoko Aoki; Xun Niu; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Exp Brain Res       Date:  2006-02-16       Impact factor: 1.972

8.  Stretching the skin immediately enhances perceived stiffness and gradually enhances the predictive control of grip force.

Authors:  Mor Farajian; Raz Leib; Hanna Kossowsky; Tomer Zaidenberg; Ferdinando A Mussa-Ivaldi; Ilana Nisky
Journal:  Elife       Date:  2020-04-15       Impact factor: 8.140

9.  An analytical approach to the problem of inverse optimization with additive objective functions: an application to human prehension.

Authors:  Alexander V Terekhov; Yakov B Pesin; Xun Niu; Mark L Latash; Vladimir M Zatsiorsky
Journal:  J Math Biol       Date:  2009-11-10       Impact factor: 2.259

10.  Grip-force responses to unanticipated object loading: load direction reveals body- and gravity-referenced intrinsic task variables.

Authors:  C Häger-Ross; K J Cole; R S Johansson
Journal:  Exp Brain Res       Date:  1996-06       Impact factor: 1.972

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