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Hearing colors: an example of brain plasticity

Overview of attention for article published in Frontiers in Systems Neuroscience, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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18 X users
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1 Facebook page
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1 Wikipedia page
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6 Google+ users

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75 Mendeley
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Title
Hearing colors: an example of brain plasticity
Published in
Frontiers in Systems Neuroscience, April 2015
DOI 10.3389/fnsys.2015.00056
Pubmed ID
Authors

Arantxa Alfaro, Ángela Bernabeu, Carlos Agulló, Jaime Parra, Eduardo Fernández

Abstract

Sensory substitution devices (SSDs) are providing new ways for improving or replacing sensory abilities that have been lost due to disease or injury, and at the same time offer unprecedented opportunities to address how the nervous system could lead to an augmentation of its capacities. In this work we have evaluated a color-blind subject using a new visual-to-auditory SSD device called "Eyeborg", that allows colors to be perceived as sounds. We used a combination of neuroimaging techniques including Functional Magnetic Resonance Imaging (fMRI), Diffusion Tensor Imaging (DTI) and proton Magnetic Resonance Spectroscopy ((1)H-MRS) to study potential brain plasticity in this subject. Our results suggest that after 8 years of continuous use of this device there could be significant adaptive and compensatory changes within the brain. In particular, we found changes in functional neural patterns, structural connectivity and cortical topography at the visual and auditive cortex of the Eyeborg user in comparison with a control population. Although at the moment we cannot claim that the continuous use of the Eyeborg is the only reason for these findings, our results may shed further light on potential brain changes associated with the use of other SSDs. This could help to better understand how the brain adapts to several pathologies and uncover adaptive resources such as cross-modal representations. We expect that the precise understanding of these changes will have clear implications for rehabilitative training, device development and for more efficient programs for people with disabilities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 3%
United States 2 3%
Germany 1 1%
United Kingdom 1 1%
Portugal 1 1%
Unknown 68 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 25%
Researcher 13 17%
Student > Master 11 15%
Student > Bachelor 7 9%
Student > Doctoral Student 3 4%
Other 12 16%
Unknown 10 13%
Readers by discipline Count As %
Psychology 18 24%
Neuroscience 12 16%
Medicine and Dentistry 9 12%
Engineering 7 9%
Nursing and Health Professions 4 5%
Other 15 20%
Unknown 10 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 21 October 2022.
All research outputs
#1,637,546
of 23,570,677 outputs
Outputs from Frontiers in Systems Neuroscience
#130
of 1,364 outputs
Outputs of similar age
#22,072
of 265,751 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#4
of 55 outputs
Altmetric has tracked 23,570,677 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,364 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 90% of its peers.
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 265,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.