Evidence map›Paper›PMID 33941898›Full record

ArticleNature biomedical engineering2022

Compression and amplification algorithms in hearing aids impair the selectivity of neural responses to speech.

Alex G Armstrong, Chi Chung Lam, Shievanie Sabesan, Nicholas A Lesica

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Why hearing aids are impaired.Nature biomedical engineering · 2022
    Article
  7. Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.Journal of the Association for Research in Otolaryngology : JARO · 2022
    Review
  8. Review
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Alex G Armstrong *Ear Institute, University College London, London, UK.
Chi Chung Lam *Ear Institute, University College London, London, UK.
Shievanie Sabesan *Ear Institute, University College London, London, UK.
Nicholas A LesicaEar Institute, University College London, London, UK. n.lesica@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5238-4462
University College London · GBUK Dementia Research Institute · GB

Funding

Wellcome Trust 200942Wellcome Trust 200942/Z/16/Z
6 · The paper itself

Abstract

In quiet environments, hearing aids improve the perception of low-intensity sounds. However, for high-intensity sounds in background noise, the aids often fail to provide a benefit to the wearer. Here, using large-scale single-neuron recordings from hearing-impaired gerbils-an established animal model of human hearing-we show that hearing aids restore the sensitivity of neural responses to speech, but not their selectivity. Rather than reflecting a deficit in supra-threshold auditory processing, the low selectivity is a consequence of hearing-aid compression (which decreases the spectral and temporal contrasts of incoming sound) and amplification (which distorts neural responses, regardless of whether hearing is impaired). Processing strategies that avoid the trade-off between neural sensitivity and selectivity should improve the performance of hearing aids.

Indexed as

Hearing AidsHearing Loss, SensorineuralSpeech PerceptionAlgorithmsHumansSpeech

Identifiers

PMID33941898
PMCPMC7612903
OpenAlexW3159170200

What OpenQuestion holds

Textmetadata
LicenceTDM
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.