Evidence map›Paper›PMID 28559951›Full record

ArticleCognitive neurodynamics2017

Neurodynamic evaluation of hearing aid features using EEG correlates of listening effort.

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

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Toward a taxonomic model of attention in effortful listening.Cognitive, affective & behavioral neuroscience · 2017
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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

5 authors.

Corinna BernardingSystems Neuroscience and Neurotechnology Unit, Neurocenter, Saarland University, Medical Faculty & Saarland University of Applied Sciences, School of Engineering, Building 90.5, 66421 Homburg/Saar, Germany.
Daniel J StraussSystems Neuroscience and Neurotechnology Unit, Neurocenter, Saarland University, Medical Faculty & Saarland University of Applied Sciences, School of Engineering, Building 90.5, 66421 Homburg/Saar, Germany.
Ronny HannemannSivantos GmbH, Erlangen, Germany.
Harald SeidlerMediClin Bosenberg Kliniken, St. Wendel, Germany.
Farah I Corona-StraussSystems Neuroscience and Neurotechnology Unit, Neurocenter, Saarland University, Medical Faculty & Saarland University of Applied Sciences, School of Engineering, Building 90.5, 66421 Homburg/Saar, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we propose a novel estimate of listening effort using electroencephalographic data. This method is a translation of our past findings, gained from the evoked electroencephalographic activity, to the oscillatory EEG activity. To test this technique, electroencephalographic data from experienced hearing aid users with moderate hearing loss were recorded, wearing hearing aids. The investigated hearing aid settings were: a directional microphone combined with a noise reduction algorithm in a medium and a strong setting, the noise reduction setting turned off, and a setting using omnidirectional microphones without any noise reduction. The results suggest that the electroencephalographic estimate of listening effort seems to be a useful tool to map the exerted effort of the participants. In addition, the results indicate that a directional processing mode can reduce the listening effort in multitalker listening situations.

Indexed as

EEGHearing aidsHearing lossListening effort

Identifiers

PMID28559951
PMCPMC5430243

What OpenQuestion holds

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LicenceCC BY
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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.