Literature DB >> 23201299

Neural correlates of listening effort related factors: influence of age and hearing impairment.

Corinna Bernarding1, Daniel J Strauss, Ronny Hannemann, Harald Seidler, Farah I Corona-Strauss.   

Abstract

In the last years, there has been a rising interest to find an objective method to estimate listening effort. Previously, we have shown that the wavelet phase synchronization stability (WPSS), gained from the instantaneous phase of auditory late responses (ALRs), could serve as a feasible measure for listening effort related factors. In the current study, we examined if the WPSS reflects the listening effort in young as well as middle-aged subjects and in persons with a different degree of hearing loss. To evoke ALR sequences, we generated syllabic paradigms with a different level of difficulty to evoke ALR sequences. We expected, due to the varying task demand, that the subjects require a measurable difference in the amount of effort to solve the paradigms. Additionally, a possible age and/or hearing loss related effect on the neural correlates of listening effort was investigated. The results indicate, that WPSS reflects the listening effort related factors needed to solve an auditory task. A further finding was that the reaction time data and the N1 wave amplitude information hardly yield any correlate of the invested listening effort. In addition, we noticed an age as well as hearing sensitivity related effect on the listening effort.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23201299     DOI: 10.1016/j.brainresbull.2012.11.005

Source DB:  PubMed          Journal:  Brain Res Bull        ISSN: 0361-9230            Impact factor:   4.077


  13 in total

1.  Effects of auditory training on low-pass filtered speech perception and listening-related cognitive load.

Authors:  Matthew G Wisniewski; Alexandria C Zakrzewski
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2.  Neurodynamic evaluation of hearing aid features using EEG correlates of listening effort.

Authors:  Corinna Bernarding; Daniel J Strauss; Ronny Hannemann; Harald Seidler; Farah I Corona-Strauss
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3.  Effect of Noise Reduction on Cortical Speech-in-Noise Processing and Its Variance due to Individual Noise Tolerance.

Authors:  Subong Kim; Yu-Hsiang Wu; Hari M Bharadwaj; Inyong Choi
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

4.  Listening Effort Measured in Adults with Normal Hearing and Cochlear Implants.

Authors:  Ann E Perreau; Yu-Hsiang Wu; Bailey Tatge; Diana Irwin; Daniel Corts
Journal:  J Am Acad Audiol       Date:  2017-09       Impact factor: 1.664

5.  Objective Assessment of Listening Effort: Coregistration of Pupillometry and EEG.

Authors:  Kelly Miles; Catherine McMahon; Isabelle Boisvert; Ronny Ibrahim; Peter de Lissa; Petra Graham; Björn Lyxell
Journal:  Trends Hear       Date:  2017 Jan-Dec       Impact factor: 3.293

Review 6.  Effects of Hearing Impairment and Hearing Aid Amplification on Listening Effort: A Systematic Review.

Authors:  Barbara Ohlenforst; Adriana A Zekveld; Elise P Jansma; Yang Wang; Graham Naylor; Artur Lorens; Thomas Lunner; Sophia E Kramer
Journal:  Ear Hear       Date:  2017 May/Jun       Impact factor: 3.570

7.  Comparison of Single-Task versus Dual-Task for Listening Effort.

Authors:  Chanbeom Kwak; Woojae Han
Journal:  J Audiol Otol       Date:  2017-10-17

8.  Monitoring Alpha Oscillations and Pupil Dilation across a Performance-Intensity Function.

Authors:  Catherine M McMahon; Isabelle Boisvert; Peter de Lissa; Louise Granger; Ronny Ibrahim; Chi Yhun Lo; Kelly Miles; Petra L Graham
Journal:  Front Psychol       Date:  2016-05-24

9.  Toward a taxonomic model of attention in effortful listening.

Authors:  Daniel J Strauss; Alexander L Francis
Journal:  Cogn Affect Behav Neurosci       Date:  2017-08       Impact factor: 3.282

10.  Reducing the Effect of Spurious Phase Variations in Neural Oscillatory Signals.

Authors:  Zeinab Mortezapouraghdam; Farah I Corona-Strauss; Kazutaka Takahashi; Daniel J Strauss
Journal:  Front Comput Neurosci       Date:  2018-10-08       Impact factor: 2.380

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