Literature DB >> 23157603

Pupil size varies with word listening and response selection difficulty in older adults with hearing loss.

Stefanie E Kuchinsky1, Jayne B Ahlstrom, Kenneth I Vaden, Stephanie L Cute, Larry E Humes, Judy R Dubno, Mark A Eckert.   

Abstract

Listening to speech in noise can be exhausting, especially for older adults with impaired hearing. Pupil dilation is thought to track the difficulty associated with listening to speech at various intelligibility levels for young and middle-aged adults. This study examined changes in the pupil response with acoustic and lexical manipulations of difficulty in older adults with hearing loss. Participants identified words at two signal-to-noise ratios (SNRs) among options that could include a similar-sounding lexical competitor. Growth Curve Analyses revealed that the pupil response was affected by an SNR × Lexical competition interaction, such that it was larger and more delayed and sustained in the harder SNR condition, particularly in the presence of lexical competition. Pupillometry detected these effects for correct trials and across reaction times, suggesting it provides additional evidence of task difficulty than behavioral measures alone.
Copyright © 2012 Society for Psychophysiological Research.

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Mesh:

Year:  2012        PMID: 23157603      PMCID: PMC3527636          DOI: 10.1111/j.1469-8986.2012.01477.x

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  58 in total

1.  Memory load and the cognitive pupillary response in aging.

Authors:  Pascal W M Van Gerven; Fred Paas; Jeroen J G Van Merriënboer; Henk G Schmidt
Journal:  Psychophysiology       Date:  2004-03       Impact factor: 4.016

2.  Speech understanding in quiet and noise, with and without hearing aids.

Authors:  Mathias Hällgren; Birgitta Larsby; Björn Lyxell; Stig Arlinger
Journal:  Int J Audiol       Date:  2005-10       Impact factor: 2.117

Review 3.  An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance.

Authors:  Gary Aston-Jones; Jonathan D Cohen
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

4.  Evaluating the effort expended to understand speech in noise using a dual-task paradigm: the effects of providing visual speech cues.

Authors:  Sarah Fraser; Jean-Pierre Gagné; Majolaine Alepins; Pascale Dubois
Journal:  J Speech Lang Hear Res       Date:  2009-07-27       Impact factor: 2.297

5.  Pupillary dilation as an index of task demands.

Authors:  Raúl Cabestrero; Antonio Crespo; Pilar Quirós
Journal:  Percept Mot Skills       Date:  2009-12

Review 6.  The processing-speed theory of adult age differences in cognition.

Authors:  T A Salthouse
Journal:  Psychol Rev       Date:  1996-07       Impact factor: 8.934

7.  Response times to speech stimuli as measures of benefit from amplification.

Authors:  S Gatehouse; J Gordon
Journal:  Br J Audiol       Date:  1990-02

8.  Pupil size, information overload, and performance differences.

Authors:  W S Peavler
Journal:  Psychophysiology       Date:  1974-09       Impact factor: 4.016

9.  Cognitive load during speech perception in noise: the influence of age, hearing loss, and cognition on the pupil response.

Authors:  Adriana A Zekveld; Sophia E Kramer; Joost M Festen
Journal:  Ear Hear       Date:  2011 Jul-Aug       Impact factor: 3.570

10.  The English Lexicon Project.

Authors:  David A Balota; Melvin J Yap; Michael J Cortese; Keith A Hutchison; Brett Kessler; Bjorn Loftis; James H Neely; Douglas L Nelson; Greg B Simpson; Rebecca Treiman
Journal:  Behav Res Methods       Date:  2007-08
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  60 in total

1.  Physiological regulation and social-emotional processing in female carriers of the FMR1 premutation.

Authors:  Molly Winston; Kritika Nayar; Abigail L Hogan; Jamie Barstein; Chelsea La Valle; Kevin Sharp; Elizabeth Berry-Kravis; Molly Losh
Journal:  Physiol Behav       Date:  2019-11-22

2.  Perceived listening effort for a tonal task with contralateral competing signals.

Authors:  William J Bologna; Monita Chatterjee; Judy R Dubno
Journal:  J Acoust Soc Am       Date:  2013-10       Impact factor: 1.840

3.  Variations Within Normal Hearing Acuity and Speech Comprehension: An Exploratory Study.

Authors:  Nicole D Ayasse; Lana R Penn; Arthur Wingfield
Journal:  Am J Audiol       Date:  2019-05-14       Impact factor: 1.493

4.  Pupillometry shows the effort of auditory attention switching.

Authors:  Daniel R McCloy; Bonnie K Lau; Eric Larson; Katherine A I Pratt; Adrian K C Lee
Journal:  J Acoust Soc Am       Date:  2017-04       Impact factor: 1.840

5.  Self-Assessed Hearing Handicap in Older Adults With Poorer-Than-Predicted Speech Recognition in Noise.

Authors:  Mark A Eckert; Lois J Matthews; Judy R Dubno
Journal:  J Speech Lang Hear Res       Date:  2017-01-01       Impact factor: 2.297

6.  Cognitive effort is modulated outside of the explicit awareness of conflict frequency: Evidence from pupillometry.

Authors:  Nathaniel T Diede; Julie M Bugg
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2017-01-09       Impact factor: 3.051

7.  Temporal alignment of pupillary response with stimulus events via deconvolution.

Authors:  Daniel R McCloy; Eric D Larson; Bonnie Lau; Adrian K C Lee
Journal:  J Acoust Soc Am       Date:  2016-03       Impact factor: 1.840

8.  How Does Auditory Training Work? Joined-Up Thinking and Listening.

Authors:  Melanie Ferguson; Helen Henshaw
Journal:  Semin Hear       Date:  2015-11

Review 9.  Eyes and ears: Using eye tracking and pupillometry to understand challenges to speech recognition.

Authors:  Kristin J Van Engen; Drew J McLaughlin
Journal:  Hear Res       Date:  2018-05-04       Impact factor: 3.208

10.  Eye-Tracking Evidence that Happy Faces Impair Verbal Message Comprehension: The Case of Health Warnings in Direct-to-Consumer Pharmaceutical Television Commercials.

Authors:  Cristel Antonia Russell; John L Swasy; Dale Wesley Russell; Larry Engel
Journal:  Int J Advert       Date:  2016-07-04
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