Literature DB >> 21975450

Contribution of execution noise to arm movement variability in three-dimensional space.

Gregory A Apker1, Christopher A Buneo.   

Abstract

Reaching movements are subject to noise associated with planning and execution, but precisely how these noise sources interact to determine patterns of endpoint variability in three-dimensional space is not well understood. For frontal plane movements, variability is largest along the depth axis (the axis along which visual planning noise is greatest), with execution noise contributing to this variability along the movement direction. Here we tested whether these noise sources interact in a similar way for movements directed in depth. Subjects performed sequences of two movements from a single starting position to targets that were either both contained within a frontal plane ("frontal sequences") or where the first was within the frontal plane and the second was directed in depth ("depth sequences"). For both sequence types, movements were performed with or without visual feedback of the hand. When visual feedback was available, endpoint distributions for frontal and depth sequences were generally anisotropic, with the principal axes of variability being strongly aligned with the depth axis. Without visual feedback, endpoint distributions for frontal sequences were relatively isotropic and movement direction dependent, while those for depth sequences were similar to those with visual feedback. Overall, the results suggest that in the presence of visual feedback, endpoint variability is dominated by uncertainty associated with planning and updating visually guided movements. In addition, the results suggest that without visual feedback, increased uncertainty in hand position estimation effectively unmasks the effect of execution-related noise, resulting in patterns of endpoint variability that are highly movement direction dependent.

Mesh:

Year:  2011        PMID: 21975450     DOI: 10.1152/jn.00495.2011

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


  7 in total

1.  Efficiency of visual feedback integration differs between dominant and non-dominant arms during a reaching task.

Authors:  Gregory A Apker; Keith Dyson; Garrett Frantz; Christopher A Buneo
Journal:  Exp Brain Res       Date:  2014-10-10       Impact factor: 1.972

2.  Modifying Kinect placement to improve upper limb joint angle measurement accuracy.

Authors:  Na Jin Seo; Mojtaba F Fathi; Pilwon Hur; Vincent Crocher
Journal:  J Hand Ther       Date:  2016-10-18       Impact factor: 1.950

3.  Predicting the initiation of minimum-jerk submovements in three-dimensional target-oriented human arm trajectories.

Authors:  James Y Liao; Robert F Kirsch
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

4.  Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex.

Authors:  Paul VanGilder; Ying Shi; Gregory Apker; Keith Dyson; Christopher A Buneo
Journal:  PLoS One       Date:  2016-12-29       Impact factor: 3.240

5.  Visually-updated hand state estimates modulate the proprioceptive reflex independently of motor task requirements.

Authors:  Sho Ito; Hiroaki Gomi
Journal:  Elife       Date:  2020-03-31       Impact factor: 8.140

6.  Characterizing and predicting submovements during human three-dimensional arm reaches.

Authors:  James Y Liao; Robert F Kirsch
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

7.  Perception of Arm Position in Three-Dimensional Space.

Authors:  Joshua Klein; Bryan Whitsell; Panagiotis K Artemiadis; Christopher A Buneo
Journal:  Front Hum Neurosci       Date:  2018-08-21       Impact factor: 3.169

  7 in total

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