ArticleHearing research2014
Selective attention reduces physiological noise in the external ear canals of humans. I: auditory attention.
Article in Hearing research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- Parametric information about eye movements is sent to the ears.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Cochlear activity in silent cue-target intervals shows a theta-rhythmic pattern and is correlated to attentional alpha and theta modulations.BMC biology · 2021Article
- Effect of Auditory Predictability on the Human Peripheral Auditory System.Frontiers in neuroscience · 2020Article
- No effects of attention or visual perceptual load on cochlear function, as measured with stimulus-frequency otoacoustic emissions.The Journal of the Acoustical Society of America · 2019Article
- Examining replicability of an otoacoustic measure of cochlear function during selective attention.The Journal of the Acoustical Society of America · 2018Article
- The eardrums move when the eyes move: A multisensory effect on the mechanics of hearing.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Auditory Attention Reduced Ear-Canal Noise in Humans by Reducing Subject Motion, Not by Medial Olivocochlear Efferent Inhibition: Implications for Measuring Otoacoustic Emissions During a Behavioral Task.Frontiers in systems neuroscience · 2018Article
- Role of Active Listening and Listening Effort on Contralateral Suppression of Transient Evoked Otoacousic Emissions.Journal of audiology & otology · 2017Article
- Changes in otoacoustic emissions during selective auditory and visual attention.The Journal of the Acoustical Society of America · 2015Article
- Cochlear Delay and Medial Olivocochlear Functioning in Children with Suspected Auditory Processing Disorder.PloS one · 2015Article
- Selective attention reduces physiological noise in the external ear canals of humans. II: visual attention.Hearing research · 2014Article
- The Association Between Physiological Noise Levels and Speech Understanding in Noise.Ear and hearingArticle
- Effects of Self-Generated Noise on Estimates of Detection Threshold in Quiet for School-Age Children and Adults.Ear and hearingArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
In this study, a nonlinear version of the stimulus-frequency OAE (SFOAE), called the nSFOAE, was used to measure cochlear responses from human subjects while they simultaneously performed behavioral tasks requiring, or not requiring, selective auditory attention. Appended to each stimulus presentation, and included in the calculation of each nSFOAE response, was a 30-ms silent period that was used to estimate the level of the inherent physiological noise in the ear canals of our subjects during each behavioral condition. Physiological-noise magnitudes were higher (noisier) for all subjects in the inattention task, and lower (quieter) in the selective auditory-attention tasks. These noise measures initially were made at the frequency of our nSFOAE probe tone (4.0 kHz), but the same attention effects also were observed across a wide range of frequencies. We attribute the observed differences in physiological-noise magnitudes between the inattention and attention conditions to different levels of efferent activation associated with the differing attentional demands of the behavioral tasks. One hypothesis is that when the attentional demand is relatively great, efferent activation is relatively high, and a decrease in the gain of the cochlear amplifier leads to lower-amplitude cochlear activity, and thus a smaller measure of noise from the ear.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.