Evidence map›Paper›PMID 33620023›Full record

ArticleTrends in hearing

Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners.

Emmanuel Ponsot, Léo Varnet, Nicolas Wallaert, Elza Daoud, Shihab A Shamma, Christian Lorenzi, Peter Neri

Abstract read
In one paragraph

Article in Trends in hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

7 authors.

Emmanuel PonsotLaboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure, Université PSL, CNRS, Paris, France.ORCID 0000-0002-8748-505X
Léo VarnetLaboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure, Université PSL, CNRS, Paris, France.ORCID 0000-0002-9702-2649
Nicolas WallaertLaboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure, Université PSL, CNRS, Paris, France.
Elza DaoudAix-Marseille Université, UMR CNRS 7260, Laboratoire Neurosciences Intégratives et Adaptatives, Centre Saint-Charles, Marseille, France.
Shihab A ShammaLaboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure, Université PSL, CNRS, Paris, France.
Christian LorenziLaboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure, Université PSL, CNRS, Paris, France.ORCID 0000-0001-7240-1653
Peter NeriLaboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure, Université PSL, CNRS, Paris, France.

Funding

Spectro-Temporal Plasticity in Primary Auditory CortexR01DC005779 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI Shihab A Shamma · 2004 to 2026
$6.7M
NIDCD NIH HHS R01 DC005779
6 · The paper itself

Abstract

Spectrotemporal modulations (STM) are essential features of speech signals that make them intelligible. While their encoding has been widely investigated in neurophysiology, we still lack a full understanding of how STMs are processed at the behavioral level and how cochlear hearing loss impacts this processing. Here, we introduce a novel methodological framework based on psychophysical reverse correlation deployed in the modulation space to characterize the mechanisms underlying STM detection in noise. We derive perceptual filters for young normal-hearing and older hearing-impaired individuals performing a detection task of an elementary target STM (a given product of temporal and spectral modulations) embedded in other masking STMs. Analyzed with computational tools, our data show that both groups rely on a comparable linear (band-pass)-nonlinear processing cascade, which can be well accounted for by a temporal modulation filter bank model combined with cross-correlation against the target representation. Our results also suggest that the modulation mistuning observed for the hearing-impaired group results primarily from broader cochlear filters. Yet, we find idiosyncratic behaviors that cannot be captured by cochlear tuning alone, highlighting the need to consider variability originating from additional mechanisms. Overall, this integrated experimental-computational approach offers a principled way to assess suprathreshold processing distortions in each individual and could thus be used to further investigate interindividual differences in speech intelligibility.

Indexed as

Hearing Loss, SensorineuralSpeech PerceptionAuditory ThresholdHearingHumansNoisePerceptual Maskingcomputational modelingpsychophysical reverse correlationsensorineural hearing lossspectrotemporal modulation processingsuprathreshold auditory processing

Identifiers

PMID33620023
PMCPMC7905488

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.