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Cortical alpha oscillations as a tool for auditory selective inhibition

Overview of attention for article published in Frontiers in Human Neuroscience, May 2014
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Title
Cortical alpha oscillations as a tool for auditory selective inhibition
Published in
Frontiers in Human Neuroscience, May 2014
DOI 10.3389/fnhum.2014.00350
Pubmed ID
Authors

Antje Strauß, Malte Wöstmann, Jonas Obleser

Abstract

Listening to speech is often demanding because of signal degradations and the presence of distracting sounds (i.e., "noise"). The question how the brain achieves the task of extracting only relevant information from the mixture of sounds reaching the ear (i.e., "cocktail party problem") is still open. In analogy to recent findings in vision, we propose cortical alpha (~10 Hz) oscillations measurable using M/EEG as a pivotal mechanism to selectively inhibit the processing of noise to improve auditory selective attention to task-relevant signals. We review initial evidence of enhanced alpha activity in selective listening tasks, suggesting a significant role of alpha-modulated noise suppression in speech. We discuss the importance of dissociating between noise interference in the auditory periphery (i.e., energetic masking) and noise interference with more central cognitive aspects of speech processing (i.e., informational masking). Finally, we point out the adverse effects of age-related hearing loss and/or cognitive decline on auditory selective inhibition. With this perspective article, we set the stage for future studies on the inhibitory role of alpha oscillations for speech processing in challenging listening situations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
United States 2 <1%
Canada 2 <1%
Australia 1 <1%
Germany 1 <1%
Chile 1 <1%
United Kingdom 1 <1%
Unknown 290 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 26%
Researcher 48 16%
Student > Master 40 13%
Student > Bachelor 32 11%
Student > Doctoral Student 22 7%
Other 35 12%
Unknown 44 15%
Readers by discipline Count As %
Neuroscience 84 28%
Psychology 59 20%
Agricultural and Biological Sciences 26 9%
Engineering 19 6%
Medicine and Dentistry 18 6%
Other 34 11%
Unknown 60 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 May 2014.
All research outputs
#19,778,150
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#5,998
of 7,638 outputs
Outputs of similar age
#161,506
of 232,810 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#206
of 241 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.