Literature DB >> 1756790

Factors affecting higher-order movement planning: a kinematic analysis of human prehension.

L S Jakobson1, M A Goodale.   

Abstract

Past studies of the kinematics of human prehension have shown that varying object size affects the maximum opening of the hand, while varying object distance affects the kinematic profile of the reaching limb. These data contributed to the formulation of a theory that the reaching and grasping components of human prehension reflect the output of two independent, though temporally coupled, motor programs (Jeannerod 1984). In the first experiment of the present study, subjects were required to reach out and grasp objects, with or without on-line, visual feedback. Object size and distance were covaried in a within-subjects design, and it was found that both grip formation and reach kinematics were affected by the manipulation of either variable. These data suggest that the control mechanisms underlying transport of the limb and grip formation are affected by similar task constraints. It was also observed that when visual feedback was unavailable after movement onset subjects showed an exaggerated opening of their hands, although grip size continued to be scaled for object size. The question remained as to whether the larger opening of the hand during no-feedback trials reflected the lack of opportunity to fine-tune the opening of the hand on-line, or the adoption of a strategy designed to increase tolerance for initial programming errors. To address this question, a second experiment was carried out in which we manipulated the predictability of visual feedback by presenting feedback and no-feedback trials in a random order. In contrast to the situation in which feedback and no-feedback trials were presented in separate blocks of trials (Exp. 1), in the randomly-ordered series of trials presented in Exp. 2, subjects always behaved as if they were reaching without vision, even on trials where visual feedback was continuously available. These findings suggest that subjects adopt different strategies on the basis of the predictability of visual feedback, although there is nothing to suggest that this takes place at a conscious, or voluntary, level. The results of both experiments are consistent with the notion of a hierarchically-organized motor control center, responsible for optimizing performance under a variety of conditions through the coordination of different effector systems and the anticipation of operating constraints.

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Mesh:

Year:  1991        PMID: 1756790     DOI: 10.1007/bf00231054

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


  26 in total

1.  Intrahemispheric cortical connexions and visual guidance of hand and finger movements in the rhusus monkey.

Authors:  R Haaxma; H G Kuypers
Journal:  Brain       Date:  1975-06       Impact factor: 13.501

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Authors:  A M Wing; A Turton; C Fraser
Journal:  J Mot Behav       Date:  1986-09       Impact factor: 1.328

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Authors:  H Z Zelaznik; B Hawkins; L Kisselburgh
Journal:  J Mot Behav       Date:  1983-09       Impact factor: 1.328

4.  Assessing and reporting the accuracy of position measurements made with optical tracking systems.

Authors:  P Haggard; A M Wing
Journal:  J Mot Behav       Date:  1990-06       Impact factor: 1.328

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Authors:  S T Klapp
Journal:  J Exp Psychol Hum Percept Perform       Date:  1975-05       Impact factor: 3.332

6.  Constraints on human arm movement trajectories.

Authors:  R G Marteniuk; C L MacKenzie; M Jeannerod; S Athenes; C Dugas
Journal:  Can J Psychol       Date:  1987-09

7.  Defects in accuracy of reaching after removal of posterior parietal cortex in monkeys.

Authors:  R H Lamotte; C Acuña
Journal:  Brain Res       Date:  1978-01-13       Impact factor: 3.252

8.  The control of hand movements in a case of hemianaesthesia following a parietal lesion.

Authors:  M Jeannerod; F Michel; C Prablanc
Journal:  Brain       Date:  1984-09       Impact factor: 13.501

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Authors:  D G Lawrence; D A Hopkins
Journal:  Brain Res       Date:  1972-05-12       Impact factor: 3.252

10.  Optic ataxia: a specific disruption in visuomotor mechanisms. I. Different aspects of the deficit in reaching for objects.

Authors:  M T Perenin; A Vighetto
Journal:  Brain       Date:  1988-06       Impact factor: 13.501

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  151 in total

1.  Dopaminergic effects on the implicit processing of distractor objects in Parkinson's disease.

Authors:  U Castiello; C Bonfiglioli; R F Peppard
Journal:  Exp Brain Res       Date:  2000-11       Impact factor: 1.972

2.  Acting in perspective: the role of body and language as social tools.

Authors:  Claudia Gianelli; Claudia Scorolli; Anna M Borghi
Journal:  Psychol Res       Date:  2011-12-11

3.  Grasping the meaning of words.

Authors:  Scott Glover; David A Rosenbaum; Jeremy Graham; Peter Dixon
Journal:  Exp Brain Res       Date:  2003-10-25       Impact factor: 1.972

4.  Effects of object shape and visual feedback on hand configuration during grasping.

Authors:  Luis F Schettino; Sergei V Adamovich; Howard Poizner
Journal:  Exp Brain Res       Date:  2003-06-03       Impact factor: 1.972

5.  The role of vision on hand preshaping during reach to grasp.

Authors:  Sara A Winges; Douglas J Weber; Marco Santello
Journal:  Exp Brain Res       Date:  2003-07-26       Impact factor: 1.972

6.  Task requirements influence sensory integration during grasping in humans.

Authors:  Daniel Säfström; Benoni B Edin
Journal:  Learn Mem       Date:  2004 May-Jun       Impact factor: 2.460

7.  Naming and grasping common objects: a priming study.

Authors:  Camelia Garofeanu; Grzegorz Króliczak; Melvyn A Goodale; G Keith Humphrey
Journal:  Exp Brain Res       Date:  2004-06-25       Impact factor: 1.972

8.  A cross-modal interference effect in grasping objects.

Authors:  Sandhiran Patchay; Umberto Castiello; Patrick Haggard
Journal:  Psychon Bull Rev       Date:  2003-12

9.  Validity of the speed-accuracy tradeoff for prehension movements.

Authors:  M Girgenrath; O Bock; S Jüngling
Journal:  Exp Brain Res       Date:  2004-05-15       Impact factor: 1.972

10.  Hand shaping using hapsis resembles visually guided hand shaping.

Authors:  Jenni M Karl; Lori-Ann R Sacrey; Jon B Doan; Ian Q Whishaw
Journal:  Exp Brain Res       Date:  2012-03-22       Impact factor: 1.972

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