Literature DB >> 27355775

A Model of Auditory-Cognitive Processing and Relevance to Clinical Applicability.

Brent Edwards1.   

Abstract

Hearing loss and cognitive function interact in both a bottom-up and top-down relationship. Listening effort is tied to these interactions, and models have been developed to explain their relationship. The Ease of Language Understanding model in particular has gained considerable attention in its explanation of the effect of signal distortion on speech understanding. Signal distortion can also affect auditory scene analysis ability, however, resulting in a distorted auditory scene that can affect cognitive function, listening effort, and the allocation of cognitive resources. These effects are explained through an addition to the Ease of Language Understanding model. This model can be generalized to apply to all sounds, not only speech, representing the increased effort required for auditory environmental awareness and other nonspeech auditory tasks. While the authors have measures of speech understanding and cognitive load to quantify these interactions, they are lacking measures of the effect of hearing aid technology on auditory scene analysis ability and how effort and attention varies with the quality of an auditory scene. Additionally, the clinical relevance of hearing aid technology on cognitive function and the application of cognitive measures in hearing aid fittings will be limited until effectiveness is demonstrated in real-world situations.

Entities:  

Mesh:

Year:  2016        PMID: 27355775     DOI: 10.1097/AUD.0000000000000308

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  7 in total

1.  Listening and Learning: Cognitive Contributions to the Rehabilitation of Older Adults With and Without Audiometrically Defined Hearing Loss.

Authors:  Kelly L Tremblay; Kristina C Backer
Journal:  Ear Hear       Date:  2016 Jul-Aug       Impact factor: 3.570

2.  The effect of fundamental frequency contour similarity on multi-talker listening in older and younger adults.

Authors:  Peter A Wasiuk; Mathieu Lavandier; Emily Buss; Jacob Oleson; Lauren Calandruccio
Journal:  J Acoust Soc Am       Date:  2020-12       Impact factor: 1.840

3.  Using Thresholds in Noise to Identify Hidden Hearing Loss in Humans.

Authors:  Courtney L Ridley; Judy G Kopun; Stephen T Neely; Michael P Gorga; Daniel M Rasetshwane
Journal:  Ear Hear       Date:  2018 Sep/Oct       Impact factor: 3.570

4.  Personal Audiovisual Aptitude Influences the Interaction Between Landscape and Soundscape Appraisal.

Authors:  Kang Sun; Gemma M Echevarria Sanchez; Bert De Coensel; Timothy Van Renterghem; Durk Talsma; Dick Botteldooren
Journal:  Front Psychol       Date:  2018-05-22

5.  The Effects of Task Difficulty Predictability and Noise Reduction on Recall Performance and Pupil Dilation Responses.

Authors:  Andreea Micula; Jerker Rönnberg; Lorenz Fiedler; Dorothea Wendt; Maria Cecilie Jørgensen; Ditte Katrine Larsen; Elaine Hoi Ning Ng
Journal:  Ear Hear       Date:  2021 Nov-Dec 01       Impact factor: 3.562

Review 6.  The cognitive hearing science perspective on perceiving, understanding, and remembering language: The ELU model.

Authors:  Jerker Rönnberg; Carine Signoret; Josefine Andin; Emil Holmer
Journal:  Front Psychol       Date:  2022-09-01

7.  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

  7 in total

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