Literature DB >> 25567091

Effector mass and trajectory optimization in the online regulation of goal-directed movement.

James J Burkitt1, Victoria Staite, Afrisa Yeung, Digby Elliott, James L Lyons.   

Abstract

Goal-directed aiming movements are planned and executed so that they optimize speed, accuracy and energy expenditure. In particular, the primary submovements involved in manual aiming attempts typically undershoot targets in order to avoid costly time and energy overshoot errors. Furthermore, in aiming movements performed over a series of trials, the movement planning process considers the sensory information associated with the most recent aiming attempt. The goal of the current study was to gain further insight into how the sensory consequences associated with the recent and forthcoming aiming attempts impact performance. We first examined whether performers are more conservative in their aiming movements with a heavy, as opposed to a light, stylus by determining whether primary submovements undershot the target to a greater extent in the former due to an anticipated increase in spatial variability. Our results show that movements with the heavy stylus demonstrated greater undershoot biases in the primary submovements, as well as greater trial-to-trial spatial variability at specific trajectory kinematic landmarks. In addition, we also sought to determine whether the sensory information experienced on a previous aiming movement affected movement planning and/or online control on the subsequent aiming attempt. To vary the type sensory consequences experienced on a trial-to-trial basis, participants performed aiming movements with light and heavy styli in either blocked or random orderings of trials. In the random-order conditions, some participants were provided advance information about stylus mass for the upcoming trial, while others were not. The blocked and random trial orders had minimal impacts on end point aiming performance. Furthermore, similarities in the times to key kinematic landmarks in the trajectories of the random-order groups suggest that recent trial experience had a greater effect on the upcoming aiming movement compared with advance task knowledge.

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Year:  2015        PMID: 25567091     DOI: 10.1007/s00221-014-4191-7

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


  38 in total

1.  Learning to optimize speed, accuracy, and energy expenditure: a framework for understanding speed-accuracy relations in goal-directed aiming.

Authors:  Digby Elliott; Steven Hansen; Jocelyn Mendoza; Luc Tremblay
Journal:  J Mot Behav       Date:  2004-09       Impact factor: 1.328

2.  Automatic adjustment of visuomotor readiness.

Authors:  Joo-Hyun Song; Ken Nakayama
Journal:  J Vis       Date:  2007-03-20       Impact factor: 2.240

3.  Updating the programming of a precision grip is a function of recent history of available feedback.

Authors:  Robert L Whitwell; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2009-03-06       Impact factor: 1.972

4.  Utilization of visual feedback of the hand according to target view availability in the online control of prehension movements.

Authors:  Takao Fukui; Toshio Inui
Journal:  Hum Mov Sci       Date:  2013-07-10       Impact factor: 2.161

5.  Kinematic analysis of goal-directed aims made against early and late perturbations: an investigation of the relative influence of two online control processes.

Authors:  Lawrence E M Grierson; Digby Elliott
Journal:  Hum Mov Sci       Date:  2008-09-02       Impact factor: 2.161

6.  Randomizing visual feedback in manual aiming: reminiscence of the previous trial condition and prior knowledge of feedback availability.

Authors:  Darian T Cheng; Marlene Luis; Luc Tremblay
Journal:  Exp Brain Res       Date:  2008-06-17       Impact factor: 1.972

7.  Facilitating the use of online visual feedback: advance information and the inter-trial interval?

Authors:  Darian T Cheng; Gerome A Manson; Andrew Kennedy; Luc Tremblay
Journal:  Motor Control       Date:  2013-04       Impact factor: 1.422

8.  Optimal control strategies under different feedback schedules: kinematic evidence.

Authors:  Michael A Khan; Digby Elliot; Jamie Coull; Romeo Chua; James Lyons
Journal:  J Mot Behav       Date:  2002-03       Impact factor: 1.328

Review 9.  Noise in the nervous system.

Authors:  A Aldo Faisal; Luc P J Selen; Daniel M Wolpert
Journal:  Nat Rev Neurosci       Date:  2008-04       Impact factor: 34.870

10.  Humans use continuous visual feedback from the hand to control fast reaching movements.

Authors:  Jeffrey A Saunders; David C Knill
Journal:  Exp Brain Res       Date:  2003-08-06       Impact factor: 1.972

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  5 in total

1.  The violation of Fitts' Law: an examination of displacement biases and corrective submovements.

Authors:  James W Roberts; Jarrod Blinch; Digby Elliott; Romeo Chua; James L Lyons; Timothy N Welsh
Journal:  Exp Brain Res       Date:  2016-03-15       Impact factor: 1.972

2.  The impact of subclinical neck pain on goal-directed upper limb movement in the horizontal plane.

Authors:  Praveen Sanmugananthan; James J Burkitt; Devonte Campbell; Navika Cheema; Bernadette A Murphy; Paul Yielder
Journal:  Exp Brain Res       Date:  2022-05-20       Impact factor: 2.064

3.  The heavier the arm, the higher the action: the effects of forearm-weight changes on reach-to-grasp movements.

Authors:  Luna Ando; Yoshihiro Itaguchi
Journal:  Exp Brain Res       Date:  2022-03-23       Impact factor: 1.972

4.  Energy minimization within target-directed aiming: the mediating influence of the number of movements and target size.

Authors:  James W Roberts
Journal:  Exp Brain Res       Date:  2020-02-20       Impact factor: 1.972

5.  Audiohaptic Feedback Enhances Motor Performance in a Low-Fidelity Simulated Drilling Task.

Authors:  Brianna L Grant; Paul C Yielder; Tracey A Patrick; Bill Kapralos; Michael Williams-Bell; Bernadette A Murphy
Journal:  Brain Sci       Date:  2019-12-31
  5 in total

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