Evidence map›Paper›PMID 32643075›Full record

ArticleJournal of the Association for Research in Otolaryngology : JARO2020

Age-Related Compensation Mechanism Revealed in the Cortical Representation of Degraded Speech.

Samira Anderson, Lindsey Roque, Casey R Gaskins, Sandra Gordon-Salant, Matthew J Goupell

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of the Association for Research in Otolaryngology : JARO, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Aging Effects on Cortical Responses to Tones and Speech in Adult Cochlear-Implant Users.Journal of the Association for Research in Otolaryngology : JARO · 2021
    Article
  12. Article
  13. Review
  14. Article
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 at 1 institution in 1 country.

Samira AndersonDepartment of Hearing and Speech Sciences, University of Maryland, College Park, MD, 20742, USA. sander22@umd.edu.
Lindsey RoqueDepartment of Hearing and Speech Sciences, University of Maryland, College Park, MD, 20742, USA.
Casey R GaskinsDepartment of Hearing and Speech Sciences, University of Maryland, College Park, MD, 20742, USA.
Sandra Gordon-SalantDepartment of Hearing and Speech Sciences, University of Maryland, College Park, MD, 20742, USA.
Matthew J GoupellDepartment of Hearing and Speech Sciences, University of Maryland, College Park, MD, 20742, USA.
University of Maryland, College Park · US

Funding

Temporal processing and speech understanding in older cochlear implanteesR01AG051603 · NIA · UNIV OF MARYLAND, COLLEGE PARK · PI GOUPELL, MATTHEW J. · 2016 to 2020
$1.9M
Age-related changes in neural encoding and perception of temporal speech cuesR21DC015843 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI ANDERSON, SAMIRA B · 2016 to 2018
$436k
NIA NIH HHS R01 AG051603NIDCD NIH HHS R21 DC015843
6 · The paper itself

Abstract

Older adults understand speech with comparative ease in quiet, but signal degradation can hinder speech understanding much more than it does in younger adults. This difficulty may result, in part, from temporal processing deficits related to the aging process and/or high-frequency hearing loss that can occur in listeners who have normal- or near-normal-hearing thresholds in the speech frequency range. Temporal processing deficits may manifest as degraded neural representation in peripheral and brainstem/midbrain structures that lead to compensation, or changes in response strength in auditory cortex. Little is understood about the process by which the neural representation of signals is improved or restored by age-related cortical compensation mechanisms. Therefore, we used vocoding to simulate spectral degradation to compare the behavioral and neural representation of words that contrast on a temporal dimension. Specifically, we used the closure duration of the silent interval between the vowel and the final affricate /t∫/ or fricative /ʃ/ of the words DITCH and DISH, respectively. We obtained perceptual identification functions and electrophysiological neural measures (frequency-following responses (FFR) and cortical auditory-evoked potentials (CAEPs)) to unprocessed and vocoded versions of these words in young normal-hearing (YNH), older normal- or near-normal-hearing (ONH), and older hearing-impaired (OHI) listeners. We found that vocoding significantly reduced the slope of the perceptual identification function in only the OHI listeners. In contrast to the limited effects of vocoding on perceptual performance, vocoding had robust effects on the FFRs across age groups, such that stimulus-to-response correlations and envelope magnitudes were significantly lower for vocoded vs. unprocessed conditions. Increases in the P1 peak amplitude for vocoded stimuli were found for both ONH and OHI listeners, but not for the YNH listeners. These results suggest that while vocoding substantially degrades early neural representation of speech stimuli in the midbrain, there may be cortical compensation in older listeners that is not seen in younger listeners.

Indexed as

Evoked Potentials, AuditoryAdolescentAdultAgedAged, 80 and overAgingAuditory CortexFemaleHumansMaleMiddle AgedSpeech PerceptionYoung Adultagingcorticalmidbrainperceptionvocoding

Identifiers

PMID32643075
PMCPMC7445218
OpenAlexW3041984090

What OpenQuestion holds

Textmetadata
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.