Literature DB >> 21516448

Reaction times for allocentric movements are 35 ms slower than reaction times for target-directed movements.

Lore Thaler1, Melvyn A Goodale.   

Abstract

Many movements that people perform every day are directed at visual targets, e.g., when we press an elevator button. However, many other movements are not target-directed, but are based on allocentric (object-centered) visual information. Examples of allocentric movements are gesture imitation, drawing or copying. Here, show a reaction time difference between these two types of movements in four separate experiments. In Exp. 1, subjects moved their eyes freely and used direct hand movements. In Exp. 2, subjects moved their eyes freely and their movements were tool-mediated (computer mouse). In Exp. 3, subjects fixated a central target and the visual field in which visual information was presented was manipulated. Experiment 4 was identical to Exp. 3 except for the fact that visual information about targets disappeared before movement onset. In all four experiments, reaction times in the allocentric task were approximately 35 ms slower than they were in the target-directed task. We suggest that this difference in reaction time between the two tasks reflects the fact that allocentric, but not target-directed, movements recruit the ventral stream, in particular lateral occipital cortex, which increases processing time. We also observed an advantage for movements made in the lower visual field as measured by movement variability, whether or not those movements were allocentric or target-directed. This latter result, we argue, reflects the role of the dorsal visual stream in the online control of movements in both kinds of tasks.

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Year:  2011        PMID: 21516448     DOI: 10.1007/s00221-011-2691-2

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


  36 in total

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2.  The use of head/eye-centered, hand-centered and allocentric representations for visually guided hand movements and perceptual judgments.

Authors:  Lore Thaler; James T Todd
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3.  The control parameters used by the CNS to guide the hand depend on the visuo-motor task: evidence from visually guided pointing.

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4.  Ventral and dorsal stream contributions to the online control of immediate and delayed grasping: a TMS approach.

Authors:  Nichola Rice Cohen; Emily S Cross; Eugene Tunik; Scott T Grafton; Jody C Culham
Journal:  Neuropsychologia       Date:  2009-01-06       Impact factor: 3.139

5.  On the voluntary movement of compliant (inertial-viscoelastic) loads by parcellated control mechanisms.

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6.  A paradoxical improvement of misreaching in optic ataxia: new evidence for two separate neural systems for visual localization.

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7.  Contribution of retinal versus extraretinal signals towards visual localization in goal-directed movements.

Authors:  O Bock
Journal:  Exp Brain Res       Date:  1986       Impact factor: 1.972

8.  The role of online visual feedback for the control of target-directed and allocentric hand movements.

Authors:  Lore Thaler; Melvyn A Goodale
Journal:  J Neurophysiol       Date:  2010-12-15       Impact factor: 2.714

9.  Multiple parietal reach regions in humans: cortical representations for visual and proprioceptive feedback during on-line reaching.

Authors:  Flavia Filimon; Jonathan D Nelson; Ruey-Song Huang; Martin I Sereno
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10.  When two eyes are better than one in prehension: monocular viewing and end-point variance.

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Journal:  Exp Brain Res       Date:  2004-05-26       Impact factor: 1.972

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  8 in total

Review 1.  Dorsal and ventral streams across sensory modalities.

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Authors:  Jarrod Blinch; Brendan D Cameron; Nicola J Hodges; Romeo Chua
Journal:  Exp Brain Res       Date:  2012-10-05       Impact factor: 1.972

3.  Goal-directed reaching: the allocentric coding of target location renders an offline mode of control.

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Journal:  Exp Brain Res       Date:  2018-02-16       Impact factor: 1.972

4.  Neural substrates of visual spatial coding and visual feedback control for hand movements in allocentric and target-directed tasks.

Authors:  Lore Thaler; Melvyn A Goodale
Journal:  Front Hum Neurosci       Date:  2011-08-31       Impact factor: 3.169

5.  Decoupled visually-guided reaching in optic ataxia: differences in motor control between canonical and non-canonical orientations in space.

Authors:  Joshua A Granek; Laure Pisella; John Stemberger; Alain Vighetto; Yves Rossetti; Lauren E Sergio
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

6.  The role of the caudal superior parietal lobule in updating hand location in peripheral vision: further evidence from optic ataxia.

Authors:  Joshua A Granek; Laure Pisella; Annabelle Blangero; Yves Rossetti; Lauren E Sergio
Journal:  PLoS One       Date:  2012-10-05       Impact factor: 3.240

7.  Spatial task context makes short-latency reaches prone to induced Roelofs illusion.

Authors:  Bahareh Taghizadeh; Alexander Gail
Journal:  Front Hum Neurosci       Date:  2014-08-29       Impact factor: 3.169

8.  Integration of egocentric and allocentric information during memory-guided reaching to images of a natural environment.

Authors:  Katja Fiehler; Christian Wolf; Mathias Klinghammer; Gunnar Blohm
Journal:  Front Hum Neurosci       Date:  2014-08-25       Impact factor: 3.169

  8 in total

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