Evidence map›Paper›PMID 22549175›Full record

ArticleJournal of the Association for Research in Otolaryngology : JARO2012

Neural mechanisms supporting robust discrimination of spectrally and temporally degraded speech.

Kamalini G Ranasinghe, William A Vrana, Chanel J Matney, Michael P Kilgard

Abstract readComparative Study
In one paragraph

Article in Journal of the Association for Research in Otolaryngology : JARO, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  4. Noise-Sensitive But More Precise Subcortical Representations Coexist with Robust Cortical Encoding of Natural Vocalizations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  5. Article
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  7. Knockdown of Dyslexia-Gene Dcdc2 Interferes with Speech Sound Discrimination in Continuous Streams.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    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

4 authors.

Kamalini G RanasingheSchool of Behavioral Brain Sciences, The University of Texas at Dallas, 800 West Campbell Road, GR41, Richardson, TX 75080-3021, USA. kamalini@utdallas.edu
William A Vrana
Chanel J Matney
Michael P Kilgard

Funding

Animal Model of Speech Sound Processing in AutismR01DC010433 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI KILGARD, MICHAEL P · 2010 to 2014
$1.4M
Cortical Plasticity and Processing of Speech SoundsR15DC006624 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI KILGARD, MICHAEL P · 2004 to 2006
$266k
NIDCD NIH HHS R01 DC010433NIDCD NIH HHS R01DC010433NIDCD NIH HHS R15 DC006624NIDCD NIH HHS R15DC006624
6 · The paper itself

Abstract

Cochlear implants provide good speech discrimination ability despite highly limited amount of information they transmit compared with normal cochlea. Noise vocoded speech, simulating cochlear implants in normal hearing listeners, have demonstrated that spectrally and temporally degraded speech contains sufficient cues to provide accurate speech discrimination. We hypothesized that neural activity patterns generated in the primary auditory cortex by spectrally and temporally degraded speech sounds will account for the robust behavioral discrimination of speech. We examined the behavioral discrimination of noise vocoded consonants and vowels by rats and recorded neural activity patterns from rat primary auditory cortex (A1) for the same sounds. We report the first evidence of behavioral discrimination of degraded speech sounds by an animal model. Our results show that rats are able to accurately discriminate both consonant and vowel sounds even after significant spectral and temporal degradation. The degree of degradation that rats can tolerate is comparable to human listeners. We observed that neural discrimination based on spatiotemporal patterns (spike timing) of A1 neurons is highly correlated with behavioral discrimination of consonants and that neural discrimination based on spatial activity patterns (spike count) of A1 neurons is highly correlated with behavioral discrimination of vowels. The results of the current study indicate that speech discrimination is resistant to degradation as long as the degraded sounds generate distinct patterns of neural activity.

Indexed as

Acoustic StimulationAction PotentialsAnimalsAuditory CortexAuditory ThresholdBehavior, AnimalCochlear NerveFemaleModels, AnimalRatsRats, Sprague-DawleySpeech Perception

Identifiers

PMID22549175
PMCPMC3387312

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.