Evidence map›Paper›PMID 28334401›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2017

Vocal Tract Images Reveal Neural Representations of Sensorimotor Transformation During Speech Imitation.

Daniel Carey, Marc E Miquel, Bronwen G Evans, Patti Adank, Carolyn McGettigan

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

12 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Real-time magnetic resonance imaging reveals distinct vocal tract configurations during spontaneous and volitional laughter.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  6. Article
  7. Singers show enhanced performance and neural representation of vocal imitation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  8. 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

5 authors.

Daniel CareyDepartment of Psychology, Royal Holloway, University of London, London TW20 0EX, UK.
Marc E MiquelWilliam Harvey Research Institute, Queen Mary, University of London, London EC1M 6BQ, UK.
Bronwen G EvansDepartment of Speech, Hearing & Phonetic Sciences, University College London, London WC1E 6BT, UK.
Patti AdankDepartment of Speech, Hearing & Phonetic Sciences, University College London, London WC1E 6BT, UK.
Carolyn McGettiganDepartment of Psychology, Royal Holloway, University of London, London TW20 0EX, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imitating speech necessitates the transformation from sensory targets to vocal tract motor output, yet little is known about the representational basis of this process in the human brain. Here, we address this question by using real-time MR imaging (rtMRI) of the vocal tract and functional MRI (fMRI) of the brain in a speech imitation paradigm. Participants trained on imitating a native vowel and a similar nonnative vowel that required lip rounding. Later, participants imitated these vowels and an untrained vowel pair during separate fMRI and rtMRI runs. Univariate fMRI analyses revealed that regions including left inferior frontal gyrus were more active during sensorimotor transformation (ST) and production of nonnative vowels, compared with native vowels; further, ST for nonnative vowels activated somatomotor cortex bilaterally, compared with ST of native vowels. Using test representational similarity analysis (RSA) models constructed from participants' vocal tract images and from stimulus formant distances, we found that RSA searchlight analyses of fMRI data showed either type of model could be represented in somatomotor, temporal, cerebellar, and hippocampal neural activation patterns during ST. We thus provide the first evidence of widespread and robust cortical and subcortical neural representation of vocal tract and/or formant parameters, during prearticulatory ST.

Indexed as

Brain MappingAdultFemaleHumansImage Processing, Computer-AssistedLarynxLipMagnetic Resonance ImagingMaleOxygenPalate, SoftSensorimotor CortexSpeechSpeech AcousticsTongueYoung AdultOxygenFMRIlearning.rtMRIsensorimotor transformationspeech

Identifiers

PMID28334401
PMCPMC5939209

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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.