Evidence map›Paper›PMID 42523371›Full record

ArticlebioRxiv : the preprint server for biology2026

Articulatory timing and form support distinct neural benefits during audiovisual speech.

Aaron Nidiffer, Aisling O'Sullivan, Edmund C Lalor

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Aaron NidifferDept. of Neuroscience, & Del Monte Institute for Neuroscience, University of Rochester, Rochester, NY, USA.ORCID 0000-0001-6319-3493
Aisling O'SullivanTrinity Centre for Biomedical Engineering, Trinity College, Dublin, Ireland.
Edmund C LalorDept. of Neuroscience, & Del Monte Institute for Neuroscience, University of Rochester, Rochester, NY, USA.

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

In noisy environments, visible speech articulations improve listening comprehension. The benefit derives from several sources, including articulatory timing and shape. Recent research has shown that visual cortex encodes a categorical representation of articulatory features and that visual speech can benefit both acoustic and phonetic feature processing separately. The present study advances the hypothesis that the shape of the articulators specifically influences the categorization of auditory speech in terms of its phonetic features. We tested this by linearly modeling electroencephalographic responses to natural, continuous speech (in noise) in terms of the acoustic and articulatory features of the speech. We compared the performance of these models in conditions where the speech was accompanied by a natural video of the speaker with their mouth visible, and a video where their mouth was covered by a dynamic ellipse obscuring articulatory shape but preserving dynamics. The dynamic mask reduced comprehension, neural processing of phonetic features, the associated multisensory benefits, and indices of visual-only linguistic processing over occipital scalp. Our findings support substantial visual involvement in speech comprehension, derived largely from the shape of the articulators. They also corroborate several proposals involving audiovisual speech processing hierarchy and the nature of the information contained in visible speech.

Indexed as

audiovisual speechEEGlinear modelinglipreadingvisual

Identifiers

PMID42523371
PMCPMC13405265

What OpenQuestion holds

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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.