↓ Skip to main content

Substituting auditory for visual feedback to adapt to altered dynamic and kinematic environments during reaching

Overview of attention for article published in Experimental Brain Research, June 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
71 Mendeley
Title
Substituting auditory for visual feedback to adapt to altered dynamic and kinematic environments during reaching
Published in
Experimental Brain Research, June 2012
DOI 10.1007/s00221-012-3144-2
Pubmed ID
Authors

Fabio Oscari, Riccardo Secoli, Federico Avanzini, Giulio Rosati, David J. Reinkensmeyer

Abstract

The arm movement control system often relies on visual feedback to drive motor adaptation and to help specify desired trajectories. Here we studied whether kinematic errors that were indicated with auditory feedback could be used to control reaching in a way comparable with when vision was available. We randomized twenty healthy adult subjects to receive either visual or auditory feedback of their movement trajectory error with respect to a line as they performed timed reaching movements while holding a robotic joystick. We delivered auditory feedback using spatialized pink noise, the loudness and location of which reflected kinematic error. After a baseline period, we unexpectedly perturbed the reaching trajectories using a perpendicular viscous force field applied by the joystick. Subjects adapted to the force field as well with auditory feedback as they did with visual feedback and exhibited comparable after effects when the force field was removed. When we changed the reference trajectory to be a trapezoid instead of a line, subjects shifted their trajectories by about the same amount with either auditory or visual feedback of error. These results indicate that arm motor networks can readily incorporate auditory feedback to alter internal models and desired trajectories, a finding with implications for the organization of the arm motor control adaptation system as well as sensory substitution and motor training technologies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 30%
Researcher 11 15%
Student > Master 8 11%
Student > Bachelor 5 7%
Professor 5 7%
Other 9 13%
Unknown 12 17%
Readers by discipline Count As %
Engineering 12 17%
Psychology 10 14%
Neuroscience 8 11%
Agricultural and Biological Sciences 6 8%
Sports and Recreations 5 7%
Other 15 21%
Unknown 15 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 August 2012.
All research outputs
#13,867,609
of 22,669,724 outputs
Outputs from Experimental Brain Research
#1,712
of 3,217 outputs
Outputs of similar age
#94,789
of 164,429 outputs
Outputs of similar age from Experimental Brain Research
#13
of 35 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,217 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 164,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.