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Neural Correlates of Early Sound Encoding and their Relationship to Speech-in-Noise Perception

Overview of attention for article published in Frontiers in Neuroscience, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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15 X users
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8 Facebook pages

Citations

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76 Dimensions

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135 Mendeley
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Title
Neural Correlates of Early Sound Encoding and their Relationship to Speech-in-Noise Perception
Published in
Frontiers in Neuroscience, August 2017
DOI 10.3389/fnins.2017.00479
Pubmed ID
Authors

Emily B. J. Coffey, Alexander M. P. Chepesiuk, Sibylle C. Herholz, Sylvain Baillet, Robert J. Zatorre

Abstract

Speech-in-noise (SIN) perception is a complex cognitive skill that affects social, vocational, and educational activities. Poor SIN ability particularly affects young and elderly populations, yet varies considerably even among healthy young adults with normal hearing. Although SIN skills are known to be influenced by top-down processes that can selectively enhance lower-level sound representations, the complementary role of feed-forward mechanisms and their relationship to musical training is poorly understood. Using a paradigm that minimizes the main top-down factors that have been implicated in SIN performance such as working memory, we aimed to better understand how robust encoding of periodicity in the auditory system (as measured by the frequency-following response) contributes to SIN perception. Using magnetoencephalograpy, we found that the strength of encoding at the fundamental frequency in the brainstem, thalamus, and cortex is correlated with SIN accuracy. The amplitude of the slower cortical P2 wave was previously also shown to be related to SIN accuracy and FFR strength; we use MEG source localization to show that the P2 wave originates in a temporal region anterior to that of the cortical FFR. We also confirm that the observed enhancements were related to the extent and timing of musicianship. These results are consistent with the hypothesis that basic feed-forward sound encoding affects SIN perception by providing better information to later processing stages, and that modifying this process may be one mechanism through which musical training might enhance the auditory networks that subserve both musical and language functions.

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X Demographics

The data shown below were collected from the profiles of 15 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 134 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 21%
Researcher 19 14%
Student > Master 17 13%
Professor 11 8%
Student > Doctoral Student 10 7%
Other 22 16%
Unknown 27 20%
Readers by discipline Count As %
Neuroscience 41 30%
Psychology 23 17%
Medicine and Dentistry 8 6%
Engineering 4 3%
Agricultural and Biological Sciences 3 2%
Other 18 13%
Unknown 38 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 12 December 2017.
All research outputs
#3,133,716
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#2,199
of 11,542 outputs
Outputs of similar age
#55,037
of 324,511 outputs
Outputs of similar age from Frontiers in Neuroscience
#26
of 169 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 80% 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 324,511 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.