Evidence map›Paper›PMID 28638329›Full record

ArticleFrontiers in human neuroscience2017

The Contribution of Cognitive Factors to Individual Differences in Understanding Noise-Vocoded Speech in Young and Older Adults.

Stephanie Rosemann, Carsten Gießing, Jale Özyurt, Rebecca Carroll, Sebastian Puschmann, Christiane M Thiel

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  4. Noise-Vocoded Sentence Recognition and the Use of Context in Older and Younger Adult Listeners.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Stephanie RosemannBiological Psychology, Department of Psychology, European Medical School, Carl von Ossietzky Universität OldenburgOldenburg, Germany.
Carsten GießingBiological Psychology, Department of Psychology, European Medical School, Carl von Ossietzky Universität OldenburgOldenburg, Germany.
Jale ÖzyurtBiological Psychology, Department of Psychology, European Medical School, Carl von Ossietzky Universität OldenburgOldenburg, Germany.
Rebecca CarrollCluster of Excellence "Hearing4all", Carl von Ossietzky Universität OldenburgOldenburg, Germany.
Sebastian PuschmannBiological Psychology, Department of Psychology, European Medical School, Carl von Ossietzky Universität OldenburgOldenburg, Germany.
Christiane M ThielBiological Psychology, Department of Psychology, European Medical School, Carl von Ossietzky Universität OldenburgOldenburg, Germany.
Carl von Ossietzky Universität Oldenburg · DEHearing4all · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noise-vocoded speech is commonly used to simulate the sensation after cochlear implantation as it consists of spectrally degraded speech. High individual variability exists in learning to understand both noise-vocoded speech and speech perceived through a cochlear implant (CI). This variability is partly ascribed to differing cognitive abilities like working memory, verbal skills or attention. Although clinically highly relevant, up to now, no consensus has been achieved about which cognitive factors exactly predict the intelligibility of speech in noise-vocoded situations in healthy subjects or in patients after cochlear implantation. We aimed to establish a test battery that can be used to predict speech understanding in patients prior to receiving a CI. Young and old healthy listeners completed a noise-vocoded speech test in addition to cognitive tests tapping on verbal memory, working memory, lexicon and retrieval skills as well as cognitive flexibility and attention. Partial-least-squares analysis revealed that six variables were important to significantly predict vocoded-speech performance. These were the ability to perceive visually degraded speech tested by the Text Reception Threshold, vocabulary size assessed with the Multiple Choice Word Test, working memory gauged with the Operation Span Test, verbal learning and recall of the Verbal Learning and Retention Test and task switching abilities tested by the Comprehensive Trail-Making Test. Thus, these cognitive abilities explain individual differences in noise-vocoded speech understanding and should be considered when aiming to predict hearing-aid outcome.

Indexed as

Text Reception Thresholdverbal learningvocabulary sizevocoded speechworking memory

Identifiers

PMID28638329
PMCPMC5461255
OpenAlexW2623715938

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.