Evidence map›Paper›PMID 33824190›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2021

Neurophysiological Indices of Audiovisual Speech Processing Reveal a Hierarchy of Multisensory Integration Effects.

Aisling E O'Sullivan, Michael J Crosse, Giovanni M Di Liberto, Alain de Cheveigné, Edmund C Lalor

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  16. Enhancement of speech-in-noise comprehension through vibrotactile stimulation at the syllabic rate.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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.

Aisling E O'SullivanSchool of Engineering, Trinity Centre for Biomedical Engineering and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland.ORCID https://orcid.org/0000-0002-4725-8864
Michael J CrosseX, The Moonshot Factory, Mountain View, CA and Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York 10461.ORCID https://orcid.org/0000-0002-8282-8973
Giovanni M Di LibertoLaboratoire des Systèmes Perceptifs, Département d'Études Cognitives, École Normale Supérieure, Paris Sciences et Lettres University, Centre National de la Recherche Scientifique, Paris 75005, France.
Alain de CheveignéLaboratoire des Systèmes Perceptifs, Département d'Études Cognitives, École Normale Supérieure, Paris Sciences et Lettres University, Centre National de la Recherche Scientifique, Paris 75005, France.
Edmund C LalorSchool of Engineering, Trinity Centre for Biomedical Engineering and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland edmund_lalor@urmc.rochester.edu.

Funding

Natural audiovisual speech encoding in the early stages of the human cortical hierarchyR01DC016297 · NIDCD · UNIVERSITY OF ROCHESTER · PI Matthew William Geoffrey Dye, Edmund Lalor · 2018 to 2026
$2.9M
NIDCD NIH HHS R01 DC016297
6 · The paper itself

Abstract

Seeing a speaker's face benefits speech comprehension, especially in challenging listening conditions. This perceptual benefit is thought to stem from the neural integration of visual and auditory speech at multiple stages of processing, whereby movement of a speaker's face provides temporal cues to auditory cortex, and articulatory information from the speaker's mouth can aid recognizing specific linguistic units (e.g., phonemes, syllables). However, it remains unclear how the integration of these cues varies as a function of listening conditions. Here, we sought to provide insight on these questions by examining EEG responses in humans (males and females) to natural audiovisual (AV), audio, and visual speech in quiet and in noise. We represented our speech stimuli in terms of their spectrograms and their phonetic features and then quantified the strength of the encoding of those features in the EEG using canonical correlation analysis (CCA). The encoding of both spectrotemporal and phonetic features was shown to be more robust in AV speech responses than what would have been expected from the summation of the audio and visual speech responses, suggesting that multisensory integration occurs at both spectrotemporal and phonetic stages of speech processing. We also found evidence to suggest that the integration effects may change with listening conditions; however, this was an exploratory analysis and future work will be required to examine this effect using a within-subject design. These findings demonstrate that integration of audio and visual speech occurs at multiple stages along the speech processing hierarchy.

Indexed as

CuesAcoustic StimulationBrainBrain MappingComprehensionElectroencephalographyFemaleHumansMalePhoneticsPhotic StimulationSpeech PerceptionVisual PerceptionCCAEEGhierarchical processingmultisensory integrationspeech in noisespeech in quiet

Identifiers

PMID33824190
PMCPMC8197638

What OpenQuestion holds

Textmetadata
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Registered trials

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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.