Literature DB >> 34766942

Bottom-Up Signal Quality Impacts the Role of Top-Down Cognitive-Linguistic Processing During Speech Recognition by Adults with Cochlear Implants.

Aaron C Moberly1, Jessica H Lewis1, Kara J Vasil1, Christin Ray1, Terrin N Tamati1,2.   

Abstract

HYPOTHESES: Significant variability persists in speech recognition outcomes in adults with cochlear implants (CIs). Sensory ("bottom-up") and cognitive-linguistic ("top-down") processes help explain this variability. However, the interactions of these bottom-up and top-down factors remain unclear. One hypothesis was tested: top-down processes would contribute differentially to speech recognition, depending on the fidelity of bottom-up input.
BACKGROUND: Bottom-up spectro-temporal processing, assessed using a Spectral-Temporally Modulated Ripple Test (SMRT), is associated with CI speech recognition outcomes. Similarly, top-down cognitive-linguistic skills relate to outcomes, including working memory capacity, inhibition-concentration, speed of lexical access, and nonverbal reasoning.
METHODS: Fifty-one adult CI users were tested for word and sentence recognition, along with performance on the SMRT and a battery of cognitive-linguistic tests. The group was divided into "low-," "intermediate-," and "high-SMRT" groups, based on SMRT scores. Separate correlation analyses were performed for each subgroup between a composite score of cognitive-linguistic processing and speech recognition.
RESULTS: Associations of top-down composite scores with speech recognition were not significant for the low-SMRT group. In contrast, these associations were significant and of medium effect size (Spearman's rho = 0.44-0.46) for two sentence types for the intermediate-SMRT group. For the high-SMRT group, top-down scores were associated with both word and sentence recognition, with medium to large effect sizes (Spearman's rho = 0.45-0.58).
CONCLUSIONS: Top-down processes contribute differentially to speech recognition in CI users based on the quality of bottom-up input. Findings have clinical implications for individualized treatment approaches relying on bottom-up device programming or top-down rehabilitation approaches.
Copyright © 2021, Otology & Neurotology, Inc.

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Mesh:

Year:  2021        PMID: 34766942      PMCID: PMC8597903          DOI: 10.1097/MAO.0000000000003377

Source DB:  PubMed          Journal:  Otol Neurotol        ISSN: 1531-7129            Impact factor:   2.311


  47 in total

1.  Recognizing speech under a processing load: dissociating energetic from informational factors.

Authors:  Sven L Mattys; Joanna Brooks; Martin Cooke
Journal:  Cogn Psychol       Date:  2009-05-06       Impact factor: 3.468

2.  Top-down restoration of speech in cochlear-implant users.

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Journal:  Hear Res       Date:  2013-12-22       Impact factor: 3.208

3.  Spectral aliasing in an acoustic spectral ripple discrimination task.

Authors:  Jesse M Resnick; David L Horn; Anisha R Noble; Jay T Rubinstein
Journal:  J Acoust Soc Am       Date:  2020-02       Impact factor: 1.840

4.  Development, reliability, and validity of PRESTO: a new high-variability sentence recognition test.

Authors:  Jaimie L Gilbert; Terrin N Tamati; David B Pisoni
Journal:  J Am Acad Audiol       Date:  2013-01       Impact factor: 1.664

5.  Validation of a clinical assessment of spectral-ripple resolution for cochlear implant users.

Authors:  Ward R Drennan; Elizabeth S Anderson; Jong Ho Won; Jay T Rubinstein
Journal:  Ear Hear       Date:  2014 May-Jun       Impact factor: 3.570

6.  The role of early language experience in the development of speech perception and phonological processing abilities: evidence from 5-year-olds with histories of otitis media with effusion and low socioeconomic status.

Authors:  Susan Nittrouer; Lisa Thuente Burton
Journal:  J Commun Disord       Date:  2005 Jan-Feb       Impact factor: 2.288

7.  Factors affecting open-set word recognition in adults with cochlear implants.

Authors:  Laura K Holden; Charles C Finley; Jill B Firszt; Timothy A Holden; Christine Brenner; Lisa G Potts; Brenda D Gotter; Sallie S Vanderhoof; Karen Mispagel; Gitry Heydebrand; Margaret W Skinner
Journal:  Ear Hear       Date:  2013 May-Jun       Impact factor: 3.570

8.  Auditory-cognitive training improves language performance in prelingually deafened cochlear implant recipients.

Authors:  Erin M Ingvalson; Nancy M Young; Patrick C M Wong
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2014-07-18       Impact factor: 1.675

9.  Comparing auditory filter bandwidths, spectral ripple modulation detection, spectral ripple discrimination, and speech recognition: Normal and impaired hearing.

Authors:  Evelyn Davies-Venn; Peggy Nelson; Pamela Souza
Journal:  J Acoust Soc Am       Date:  2015-07       Impact factor: 1.840

10.  Perceptual learning of degraded speech by minimizing prediction error.

Authors:  Ediz Sohoglu; Matthew H Davis
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-08       Impact factor: 11.205

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  2 in total

1.  Upward Shifts in the Internal Representation of Frequency Can Persist Over a 3-Year Period for Cochlear Implant Patients Fit With a Relatively Short Electrode Array.

Authors:  Michael F Dorman; Sarah C Natale; Jack H Noble; Daniel M Zeitler
Journal:  Front Hum Neurosci       Date:  2022-03-25       Impact factor: 3.169

2.  Lexical Effects on the Perceived Clarity of Noise-Vocoded Speech in Younger and Older Listeners.

Authors:  Terrin N Tamati; Victoria A Sevich; Emily M Clausing; Aaron C Moberly
Journal:  Front Psychol       Date:  2022-04-01
  2 in total

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