Literature DB >> 19649623

Collision error avoidance: influence of proportion congruency and sensorimotor memory on open-loop grasp control.

Ryan Brydges1, Adam Dubrowski.   

Abstract

Grasping behaviour involves the integration of current and historical knowledge about an object, a process that can be influenced by sensory uncertainty. In the present study, participants simultaneously interacted with a visual cue and a haptic cue before reaching to grasp a target object. The visual cue was either congruent (equal in size to haptic cue and target) or incongruent (larger than haptic cue and target). To enhance sensory uncertainty, we manipulated the proportion of congruent trials to be either 80 or 20%. We compared grasp kinematics and forces between congruent and incongruent trials and between the 20 and 80% proportion congruency groups. We also studied the effects of trial history by comparing the performance of congruent and incongruent trials preceded by either the same or opposite trial type. Proportion congruency did not affect temporal kinematics but did affect maximum grip aperture (MGA) as the 80% proportion congruency group used a greater MGA, regardless of trial type. For grasping forces, an interaction effect showed that the 20% proportion congruency group used a greater peak load force on congruent trials. Incongruent trials that followed congruent trials had decreased movement time, increased MGA and increased grasping forces, relative to those that followed incongruent trials. We interpret the data to suggest that the grasp control system integrates multisensory information using flexible, yet specific criteria regarding task constraints. The prevention of collision error (i.e., an inadequate MGA when contacting the target) may be one guiding principle in the control process.

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Year:  2009        PMID: 19649623     DOI: 10.1007/s00221-009-1939-6

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


  32 in total

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5.  Experience-dependent visual cue integration based on consistencies between visual and haptic percepts.

Authors:  J E Atkins; J Fiser; R A Jacobs
Journal:  Vision Res       Date:  2001-02       Impact factor: 1.886

6.  Top-down and bottom-up sequential modulations of congruency effects.

Authors:  Wim Notebaert; Wim Gevers; Frederick Verbruggen; Baptist Liefooghe
Journal:  Psychon Bull Rev       Date:  2006-02

7.  Updating the programming of a precision grip is a function of recent history of available feedback.

Authors:  Robert L Whitwell; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2009-03-06       Impact factor: 1.972

8.  Visual and somatosensory information about object shape control manipulative fingertip forces.

Authors:  P Jenmalm; R S Johansson
Journal:  J Neurosci       Date:  1997-06-01       Impact factor: 6.167

9.  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

10.  Memory representations underlying motor commands used during manipulation of common and novel objects.

Authors:  A M Gordon; G Westling; K J Cole; R S Johansson
Journal:  J Neurophysiol       Date:  1993-06       Impact factor: 2.714

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  1 in total

1.  Online repetitive transcranial magnetic stimulation (TMS) to the parietal operculum disrupts haptic memory for grasping.

Authors:  Luigi Cattaneo; Francesca Maule; Davide Tabarelli; Thomas Brochier; Guido Barchiesi
Journal:  Hum Brain Mapp       Date:  2015-08-07       Impact factor: 5.038

  1 in total

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