Literature DB >> 32267186

Reaching around obstacles accounts for uncertainty in coordinate transformations.

Parisa Abedi Khoozani1,2, Dimitris Voudouris3,4, Gunnar Blohm1,2,5, Katja Fiehler3,4.   

Abstract

When reaching to a visual target, humans need to transform the spatial target representation into the coordinate system of their moving arm. It has been shown that increased uncertainty in such coordinate transformations, for instance, when the head is rolled toward one shoulder, leads to higher movement variability and influence movement decisions. However, it is unknown whether the brain incorporates such added variability in planning and executing movements. We designed an obstacle avoidance task in which participants had to reach with or without visual feedback of the hand to a visual target while avoiding collisions with an obstacle. We varied coordinate transformation uncertainty by varying head roll (straight, 30° clockwise, and 30° counterclockwise). In agreement with previous studies, we observed that the reaching variability increased when the head was tilted. Indeed, head roll did not influence the number of collisions during reaching compared with the head-straight condition, but it did systematically change the obstacle avoidance behavior. Participants changed the preferred direction of passing the obstacle and increased the safety margins indicated by stronger movement curvature. These results suggest that the brain takes the added movement variability during head roll into account and compensates for it by adjusting the reaching trajectories.NEW & NOTEWORTHY We show that changing body geometry such as head roll results in compensatory reaching behaviors around obstacles. Specifically, we observed head roll causes changed preferred movement direction and increased trajectory curvature. As has been shown before, head roll increases movement variability due to stochastic coordinate transformations. Thus these results provide evidence that the brain must consider the added movement variability caused by coordinate transformations for accurate reach movements.

Entities:  

Keywords:  head roll; obstacle avoidance; reach variability; stochastic reference frame transformations

Mesh:

Year:  2020        PMID: 32267186      PMCID: PMC7444913          DOI: 10.1152/jn.00049.2020

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


  62 in total

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Authors:  Christopher A Buneo; Murray R Jarvis; Aaron P Batista; Richard A Andersen
Journal:  Nature       Date:  2002-04-11       Impact factor: 49.962

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Journal:  Nat Rev Neurosci       Date:  2002-07       Impact factor: 34.870

Review 3.  Optimality principles in sensorimotor control.

Authors:  Emanuel Todorov
Journal:  Nat Neurosci       Date:  2004-09       Impact factor: 24.884

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Authors:  Joseph Y Nashed; Frédéric Crevecoeur; Stephen H Scott
Journal:  J Neurophysiol       Date:  2012-05-23       Impact factor: 2.714

5.  Neural variability, detection thresholds, and information transmission in the vestibular system.

Authors:  Soroush G Sadeghi; Maurice J Chacron; Michael C Taylor; Kathleen E Cullen
Journal:  J Neurosci       Date:  2007-01-24       Impact factor: 6.167

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Authors:  Janeen D Loehr; Caroline Palmer
Journal:  Exp Brain Res       Date:  2006-11-09       Impact factor: 1.972

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Authors:  O Bock
Journal:  Behav Brain Res       Date:  1993-07-30       Impact factor: 3.332

8.  Avoiding unseen obstacles: Subcortical vision is not sufficient to maintain normal obstacle avoidance behaviour during reaching.

Authors:  Alasdair I Ross; Thomas Schenk; Jutta Billino; Mary J Macleod; Constanze Hesse
Journal:  Cortex       Date:  2016-10-03       Impact factor: 4.027

9.  Manual obstacle avoidance takes into account visual uncertainty, motor noise, and biomechanical costs.

Authors:  Rajal G Cohen; Jason C Biddle; David A Rosenbaum
Journal:  Exp Brain Res       Date:  2009-10-23       Impact factor: 1.972

10.  Quantifying effects of stochasticity in reference frame transformations on posterior distributions.

Authors:  Hooman Alikhanian; Schubert R de Carvalho; Gunnar Blohm
Journal:  Front Comput Neurosci       Date:  2015-07-03       Impact factor: 2.380

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