Evidence map›Paper›PMID 29860083›Full record

ArticleNeuroImage2018

Neural representation of vowel formants in tonotopic auditory cortex.

Julia M Fisher, Frederic K Dick, Deborah F Levy, Stephen M Wilson

Abstract read
In one paragraph

Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Categorical Encoding of Vowels in Primary Auditory Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2020
    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

4 authors.

Julia M FisherDepartment of Linguistics, University of Arizona, Tucson, AZ, USA; Statistics Consulting Laboratory, BIO5 Institute, University of Arizona, Tucson, AZ, USA.
Frederic K DickDepartment of Psychological Sciences, Birkbeck College, University of London, UK; Birkbeck-UCL Center for Neuroimaging, London, UK; Department of Experimental Psychology, University College London, UK.
Deborah F LevyDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Stephen M WilsonDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: stephen.m.wilson@vanderbilt.edu.

Funding

Neural Correlates of Recovery from Aphasia After StrokeR01DC013270 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Stephen M Wilson, Michael R de Riesthal · 2014 to 2026
$6.3M
NIDCD NIH HHS R01 DC013270
6 · The paper itself

Abstract

Speech sounds are encoded by distributed patterns of activity in bilateral superior temporal cortex. However, it is unclear whether speech sounds are topographically represented in cortex, or which acoustic or phonetic dimensions might be spatially mapped. Here, using functional MRI, we investigated the potential spatial representation of vowels, which are largely distinguished from one another by the frequencies of their first and second formants, i.e. peaks in their frequency spectra. This allowed us to generate clear hypotheses about the representation of specific vowels in tonotopic regions of auditory cortex. We scanned participants as they listened to multiple natural tokens of the vowels [ɑ] and [i], which we selected because their first and second formants overlap minimally. Formant-based regions of interest were defined for each vowel based on spectral analysis of the vowel stimuli and independently acquired tonotopic maps for each participant. We found that perception of [ɑ] and [i] yielded differential activation of tonotopic regions corresponding to formants of [ɑ] and [i], such that each vowel was associated with increased signal in tonotopic regions corresponding to its own formants. This pattern was observed in Heschl's gyrus and the superior temporal gyrus, in both hemispheres, and for both the first and second formants. Using linear discriminant analysis of mean signal change in formant-based regions of interest, the identity of untrained vowels was predicted with ∼73% accuracy. Our findings show that cortical encoding of vowels is scaffolded on tonotopy, a fundamental organizing principle of auditory cortex that is not language-specific.

Indexed as

PhoneticsAcoustic StimulationAdultAuditory CortexBrain MappingFemaleHumansMagnetic Resonance ImagingMaleSpeech PerceptionAuditory cortexFormantsTonotopyVowels

Identifiers

PMID29860083
PMCPMC6231402

What OpenQuestion holds

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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.