Literature DB >> 10958532

Eye-hand coordination to visual versus remembered targets.

P van Donkelaar1, J Staub.   

Abstract

It has been suggested that the basal ganglia preferentially contribute to movements made to remembered targets, whereas the cerebellum preferentially contributes to movements based on visual cues. Thus, it is possible that eye-hand coordination may differ in these two types of movement. To examine this issue we compared the response characteristics of combined eye and hand movements made towards visual versus remembered targets. In addition, the influence of the eye movement on the hand movement was investigated by comparing the effects of visual fixation in each task. Our results demonstrated that hand movement amplitude was greater when the hand movements were produced in isolation versus in combination with an eye movement. This was true regardless of whether the movement was made to a visual or a remembered target. This suggests that the integration of eye position information into the manual motor response occurs at a common neural site for both tasks. By contrast, the timing between saccade and hand onsets and offsets differed in the two conditions. This is consistent with the idea that the timing inherent in eye-hand coordination is the result of separate processing within either the basal ganglia or cerebellar systems. Taken together, the results from this study demonstrate that certain processes underlying eye-hand coordination during movements to visual versus remembered targets share a common neural substrate whereas others function independently.

Mesh:

Year:  2000        PMID: 10958532     DOI: 10.1007/s002210000422

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


  18 in total

1.  Geometric computations underlying eye-hand coordination: orientations of the two eyes and the head.

Authors:  D Y P Henriques; W P Medendorp; C C A M Gielen; J D Crawford
Journal:  Exp Brain Res       Date:  2003-06-26       Impact factor: 1.972

2.  Visual motion due to eye movements helps guide the hand.

Authors:  David Whitney; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2005-01-15       Impact factor: 1.972

3.  The type of visual information mediates eye and hand movement bias when aiming to a Müller-Lyer illusion.

Authors:  Ann Lavrysen; Werner F Helsen; Digby Elliott; Martinus J Buekers; Peter Feys; Elke Heremans
Journal:  Exp Brain Res       Date:  2006-05-23       Impact factor: 1.972

4.  The coordination of eye, head, and arm movements during rapid gaze orienting and arm pointing.

Authors:  Masataka Suzuki; Ayano Izawa; Kazushi Takahashi; Yoshihiko Yamazaki
Journal:  Exp Brain Res       Date:  2007-12-04       Impact factor: 1.972

5.  Pursuit eye movements involve a covert motor plan for manual tracking.

Authors:  Claudio Maioli; Luca Falciati; Tiziana Gianesini
Journal:  J Neurosci       Date:  2007-07-04       Impact factor: 6.167

6.  Arm movement metrics influence saccade metrics when looking and pointing towards a memorized target location.

Authors:  Emmanouil Kattoulas; Nikolaos Smyrnis; Asimakis Mantas; Ioannis Evdokimidis; Vassilis Raos; Adonis Moschovakis
Journal:  Exp Brain Res       Date:  2008-05-30       Impact factor: 1.972

7.  Unconstrained reaching modulates eye-hand coupling.

Authors:  Dongpyo Lee; Howard Poizner; Daniel M Corcos; Denise Y Henriques
Journal:  Exp Brain Res       Date:  2014-01       Impact factor: 1.972

8.  Neurophysiological evidence of how quiet eye supports motor performance.

Authors:  Shanshan Xu; Guoxiao Sun; Mark R Wilson
Journal:  Cogn Process       Date:  2021-06-04

9.  The brain uses efference copy information to optimise spatial memory.

Authors:  C C Gonzalez; M R Burke
Journal:  Exp Brain Res       Date:  2012-10-17       Impact factor: 1.972

10.  Multiple spatial representations interact to increase reach accuracy when coordinating a saccade with a reach.

Authors:  Yuriria Vazquez; Laura Federici; Bijan Pesaran
Journal:  J Neurophysiol       Date:  2017-08-02       Impact factor: 2.714

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