Literature DB >> 17913996

Separate adaptive mechanisms for controlling trajectory and final position in reaching.

Robert A Scheidt1, Claude Ghez.   

Abstract

We examined control of the hand's trajectory (direction and shape) and final equilibrium position in horizontal planar arm movements by quantifying transfer of learned visuomotor rotations between two tasks that required aiming the hand to the same spatial targets. In a trajectory-reversal task ("slicing"), the hand reversed direction within the target and returned to the origin. In a positioning task ("reaching"), subjects moved the hand to the target and held it there; cursor feedback was provided only after movement ended to isolate learning of final position from trajectory direction. We asked whether learning acquired in one task would transfer to the other. Transfer would suggest that the hand's entire trajectory, including its endpoint, was controlled using a common spatial plan. Instead we found minimal transfer, suggesting that the brain used different representations of target position to specify the hand's initial trajectory and its final stabilized position. We also observed asymmetrical practice effects on hand trajectory, including systematic curvature of reaches made after rotation training and hypermetria of untrained slice reversals after reach training. These are difficult to explain with a unified control model, but were replicated in computer simulations that specified the hand's initial trajectory and its final equilibrium position. Our results suggest that the brain uses different mechanisms to plan the hand's initial trajectory and final position in point-to-point movements, that it implements these control actions sequentially, and that trajectory planning does not account for specific impedance values to be implemented about the final stabilized posture.

Entities:  

Mesh:

Year:  2007        PMID: 17913996     DOI: 10.1152/jn.00121.2007

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


  66 in total

1.  Adaptation to sensory-motor reflex perturbations is blind to the source of errors.

Authors:  Todd E Hudson; Michael S Landy
Journal:  J Vis       Date:  2012-01-06       Impact factor: 2.240

2.  Reorganization of finger coordination patterns during adaptation to rotation and scaling of a newly learned sensorimotor transformation.

Authors:  Xiaolin Liu; Kristine M Mosier; Ferdinando A Mussa-Ivaldi; Maura Casadio; Robert A Scheidt
Journal:  J Neurophysiol       Date:  2010-10-27       Impact factor: 2.714

3.  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

4.  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

5.  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

Review 6.  A computational neuroanatomy for motor control.

Authors:  Reza Shadmehr; John W Krakauer
Journal:  Exp Brain Res       Date:  2008-02-05       Impact factor: 1.972

7.  Submovements during pointing movements in Parkinson's disease.

Authors:  Natalia Dounskaia; Laetitia Fradet; Gyusung Lee; Berta C Leis; Charles H Adler
Journal:  Exp Brain Res       Date:  2008-12-02       Impact factor: 1.972

8.  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

9.  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

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
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.