Evidence map›Paper›PMID 40800796›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Seeing speech: Neural mechanisms of cued speech perception in prelingually deaf and hearing users.

Annahita Sarré, Laurent Cohen

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

2 authors.

Annahita SarréInserm U 1127, CNRS UMR 7225, Sorbonne Universités, Institut du Cerveau, ICM, Paris, France.ORCID https://orcid.org/0000-0002-5083-4965
Laurent CohenInserm U 1127, CNRS UMR 7225, Sorbonne Universités, Institut du Cerveau, ICM, Paris, France.ORCID https://orcid.org/0000-0002-5010-9085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For many deaf people, lip-reading plays a major role in verbal communication. However, lip movements are by nature ambiguous, so that lip-reading does not allow for a full understanding of speech. The resulting language access difficulties may have serious consequences on language, cognitive and social development. Cued speech (CS) was developed to eliminate this ambiguity by complementing lip-reading with hand gestures, giving access to the entire phonological content of speech through the visual modality alone. Despite its proven efficiency for improving linguistic and communicative abilities, the mechanisms of CS perception remain largely unknown. The goal of the present study is to delineate the brain regions involved in CS perception and identify their role in visual and language-related processes. Three matched groups of participants were scanned during the presentation of videos of silent CS sentences, isolated lip movements, isolated gestures, plus CS sentences with speech sounds, and meaningless CS sentences: Prelingually deaf users of CS, hearing users of CS, and naïve hearing controls. We delineated a number of mostly left-hemisphere brain regions involved in CS perception. We first found that language areas were activated in all groups by both silent CS sentences and isolated lip movements, and by gestures in deaf participants only. Despite overlapping activations when perceiving CS, several findings differentiated experts from novices. The Visual Word Form Area, which supports the interface between vision and language during reading, was activated by isolated gestures in deaf CS users. In contrast, the Bayes factor indicated either weak evidence of no activation or negligible evidence of activation in hearing and control groups. Moreover, the integration of lip movements and gestures took place in a temporal language-related region in deaf users, and in movement-related regions in hearing users, reflecting their different profile of expertise in CS comprehension and production. Finally, we observed a strong involvement of the Dorsal Attentional Network in hearing users of CS, and identified the neural correlates of the variability in individual proficiency. Cued speech constitutes a novel pathway for accessing core language processes, halfway between speech perception and reading. The current study provides a delineation of the common and specific brain structures supporting those different modalities of language input, paving the way for further research.

Indexed as

cued speechdeafnessEBAfunctional MRIlanguageVWFA

Identifiers

PMID40800796
PMCPMC12319768

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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.