Literature DB >> 9438714

An analysis of spatiotemporal variability during prehension movements: effects of object size and distance.

N Kudoh1, M Hattori, N Numata, K Maruyama.   

Abstract

Human prehension movements have been studied with regard to the parallel processing of motor control and sensorimotor coordination. Temporal aspects of the movement (e.g., onset time and duration) have been studied extensively, while spatial aspects have not been studied systematically. Thus, the purpose of this study was to examine spatiotemporal variability of the transport (wrist trajectory) and grasp (grip aperture between the index finger and the thumb) components. In this experiment, the extrinsic (e.g., distance) and intrinsic object properties (e.g., object size) were manipulated. Subjects were required to pick up an aluminum cylinder as quickly and accurately as possible using the index finger and the thumb. It was found that object size significantly affected both transport and grasp components. Distance mainly affected the transport component. These kinematic results were consistent with the findings of earlier studies. Furthermore, the distribution of mean within-subject variability across normalized movement time for the transport component was not the same as that of the grasp component, suggesting that the different motor control processes exist. The peak amplitudes in variability of the wrist trajectory and the grip aperture were obtained at similar points throughout movement time. Furthermore, the peak of wrist variability depended on distance not object size, while that of aperture variability depended on both distance and object size. These results strongly support the hypothesis that the grasp component is adjusted using dynamic information provided from the transport component as the wrist moves toward the object. We also found that wrist variability converged to the target point, while aperture variability was biphasic: it converged, at least, around the point of maximum aperture in the first phase and then remained constant in the second phase. This result suggests that the two components are under different control processes. We hypothesize that the transport component can be modeled as a single feedforward system, while the grasp component can be divided into two separate mechanisms.

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Year:  1997        PMID: 9438714     DOI: 10.1007/s002210050241

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


  15 in total

1.  Effect of accuracy constraint on joint coordination during pointing movements.

Authors:  Ya-Weng Tseng; John P Scholz; Gregor Schöner; Lawrence Hotchkiss
Journal:  Exp Brain Res       Date:  2003-01-31       Impact factor: 1.972

2.  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

3.  Grab an object with a tool and change your body: tool-use-dependent changes of body representation for action.

Authors:  Lucilla Cardinali; Stéphane Jacobs; Claudio Brozzoli; Francesca Frassinetti; Alice C Roy; Alessandro Farnè
Journal:  Exp Brain Res       Date:  2012-02-17       Impact factor: 1.972

4.  Knowing your nose better than your thumb: measures of over-grasp reveal that face-parts are special for grasping.

Authors:  M G Edwards; A M Wing; J Stevens; G W Humphreys
Journal:  Exp Brain Res       Date:  2004-10-09       Impact factor: 1.972

5.  Advantages of binocular vision for the control of reaching and grasping.

Authors:  Dean R Melmoth; Simon Grant
Journal:  Exp Brain Res       Date:  2005-12-02       Impact factor: 1.972

6.  Manual asymmetries in grasp pre-shaping and transport-grasp coordination.

Authors:  Jarugool Tretriluxana; James Gordon; Carolee J Winstein
Journal:  Exp Brain Res       Date:  2008-04-25       Impact factor: 1.972

7.  Grasping future events: explicit knowledge of the availability of visual feedback fails to reliably influence prehension.

Authors:  Robert L Whitwell; Lisa M Lambert; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2008-04-29       Impact factor: 1.972

8.  Use of early phase online vision for grip configuration is modulated according to movement duration in prehension.

Authors:  Takao Fukui; Toshio Inui
Journal:  Exp Brain Res       Date:  2015-05-01       Impact factor: 1.972

9.  The influence of body posture on the kinematics of prehension in humans and gorillas (Gorilla gorilla).

Authors:  E Reghem; L Chèze; Y Coppens; E Pouydebat
Journal:  Exp Brain Res       Date:  2014-01-16       Impact factor: 1.972

10.  A detailed analysis of the planning and execution of prehension movements by three adolescents with spastic hemiparesis due to cerebral palsy.

Authors:  Marcel Mutsaarts; Bert Steenbergen; Ruud Meulenbroek
Journal:  Exp Brain Res       Date:  2004-02-05       Impact factor: 1.972

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