Literature DB >> 17804576

Different learned coordinate frames for planning trajectories and final positions in reaching.

Claude Ghez1, Robert Scheidt, Hank Heijink.   

Abstract

We previously reported that the kinematics of reaching movements reflect the superimposition of two separate control mechanisms specifying the hand's spatial trajectory and its final equilibrium position. We now asked whether the brain maintains separate representations of the spatial goals for planning hand trajectory and final position. One group of subjects learned a 30 degrees visuomotor rotation about the hand's starting point while performing a movement reversal task ("slicing") in which they reversed direction at one target and terminated movement at another. This task required accuracy in acquiring a target mid-movement. A second group adapted while moving to -- and stabilizing at -- a single target ("reaching"). This task required accuracy in specifying an intended final position. We examined how learning in the two tasks generalized both to movements made from untrained initial positions and to movements directed toward untrained targets. Shifting initial hand position had differential effects on the location of reversals and final positions: Trajectory directions remained unchanged and reversal locations were displaced in slicing whereas final positions of both reaches and slices were relatively unchanged. Generalization across directions in slicing was consistent with a hand-centered representation of desired reversal point as demonstrated previously for this task whereas the distributions of final positions were consistent with an eye-centered representation as found previously in studies of pointing in three-dimensional space. Our findings indicate that the intended trajectory and final position are represented in different coordinate frames, reconciling previous conflicting claims of hand-centered (vectorial) and eye-centered representations in reach planning.

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Year:  2007        PMID: 17804576     DOI: 10.1152/jn.00652.2007

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  40 in total

1.  Suppression of proprioceptive feedback control in movement sequences through intermediate targets.

Authors:  C Minos Niu; Daniel M Corcos; Mark B Shapiro
Journal:  Exp Brain Res       Date:  2011-11-10       Impact factor: 1.972

2.  The nervous system uses nonspecific motor learning in response to random perturbations of varying nature.

Authors:  Kunlin Wei; Daniel Wert; Konrad Körding
Journal:  J Neurophysiol       Date:  2010-09-22       Impact factor: 2.714

3.  The generalization of visuomotor learning to untrained movements and movement sequences based on movement vector and goal location remapping.

Authors:  Howard G Wu; Maurice A Smith
Journal:  J Neurosci       Date:  2013-06-26       Impact factor: 6.167

4.  Coordination deficits in ideomotor apraxia during visually targeted reaching reflect impaired visuomotor transformations.

Authors:  Pratik K Mutha; Robert L Sainburg; Kathleen Y Haaland
Journal:  Neuropsychologia       Date:  2010-09-25       Impact factor: 3.139

5.  The training schedule affects the stability, not the magnitude, of the interlimb transfer of learned dynamics.

Authors:  Wilsaan M Joiner; Jordan B Brayanov; Maurice A Smith
Journal:  J Neurophysiol       Date:  2013-05-29       Impact factor: 2.714

6.  Target switching in curved human arm movements is predicted by changing a single control parameter.

Authors:  Heiko Hoffmann
Journal:  Exp Brain Res       Date:  2010-11-03       Impact factor: 1.972

7.  Motor lateralization is characterized by a serial hybrid control scheme.

Authors:  V Yadav; R L Sainburg
Journal:  Neuroscience       Date:  2011-08-25       Impact factor: 3.590

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

Authors:  Lore Thaler; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2011-04-24       Impact factor: 1.972

9.  Did I do that? Detecting a perturbation to visual feedback in a reaching task.

Authors:  Elon Gaffin-Cahn; Todd E Hudson; Michael S Landy
Journal:  J Vis       Date:  2019-01-02       Impact factor: 2.240

10.  Movement trajectory smoothness is not associated with the endpoint accuracy of rapid multi-joint arm movements in young and older adults.

Authors:  Brach Poston; Arend W A Van Gemmert; Siddharth Sharma; Somesh Chakrabarti; Shahrzad H Zavaremi; George Stelmach
Journal:  Acta Psychol (Amst)       Date:  2013-04-10
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