Evidence map›Paper›PMID 22942513›Full record

ArticleAphasiology2012

Using TMS to study the role of the articulatory motor system in speech perception.

Riikka Möttönen, Kate E Watkins

Open access · bronzeAbstract read
In one paragraph

Article in Aphasiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.2field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 60 citations in OpenAlex.

  1. Plasticity in the human speech motor system drives changes in speech perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
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  7. Effect of Bilateral Opercular Syndrome on Speech Perception.Neurobiology of language (Cambridge, Mass.) · 2021
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  9. Auditory representation of learned sound sequences in motor regions of the macaque brain.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  13. Facilitation of motor excitability during listening to spoken sentences is not modulated by noise or semantic coherence.Cortex; a journal devoted to the study of the nervous system and behavior · 2018
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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

2 authors at 1 institution in 1 country.

Riikka Möttönen
Kate E Watkins
University of Oxford · GB

Funding

Medical Research Council G0400298Medical Research Council G1000566
6 · The paper itself

Abstract

Background: The ability to communicate using speech is a remarkable skill, which requires precise coordination of articulatory movements and decoding of complex acoustic signals. According to the traditional view, speech production and perception rely on motor and auditory brain areas, respectively. However, there is growing evidence that auditory-motor circuits support both speech production and perception.Aims: In this article we provide a review of how transcranial magnetic stimulation (TMS) has been used to investigate the excitability of the motor system during listening to speech and the contribution of the motor system to performance in various speech perception tasks. We also discuss how TMS can be used in combination with brain-imaging techniques to study interactions between motor and auditory systems during speech perception.Main contribution: TMS has proven to be a powerful tool to investigate the role of the articulatory motor system in speech perception.Conclusions: TMS studies have provided support for the view that the motor structures that control the movements of the articulators contribute not only to speech production but also to speech perception.

Identifiers

PMID22942513
PMCPMC3431548
OpenAlexW2068396872

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.