Evidence map›Paper›PMID 40930977›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Stereoelectroencephalography Reveals Neural Signatures of Multisensory Integration in the Human Superior Temporal Sulcus during Audiovisual Speech Perception.

Yue Zhang, John F Magnotti, Xiang Zhang, Zhengjia Wang, Yingjia Yu, Kathryn A Davis, Sameer A Sheth, H Isaac Chen, Daniel Yoshor, Michael S Beauchamp

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 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

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

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

10 authors.

Yue ZhangDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
John F MagnottiDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Xiang ZhangDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Zhengjia WangDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.ORCID 0000-0001-5629-1116
Yingjia YuDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Kathryn A DavisDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Sameer A ShethDepartment of Neurosurgery, Baylor College of Medicine, Houston, Texas 77030.ORCID 0000-0001-8770-8965
H Isaac ChenDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Daniel YoshorDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Michael S BeauchampDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104 beaucha@upenn.edu.ORCID 0000-0002-7599-9934

Funding

Dynamic Neural Mechanisms of Audiovisual Speech PerceptionU01NS113339 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BEAUCHAMP, MICHAEL S, SCHROEDER, CHARLES E · 2019 to 2023
$5.5M
NEURAL SUBSTRATES OF OPTIMAL MULTISENSORY INTEGRATIONR01NS065395 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Michael S Beauchamp · 2010 to 2026
$5.5M
Blackrock Microsystem for Translational ResearchS10OD030364 · OD · UNIVERSITY OF PENNSYLVANIA · PI LITT, BRIAN · 2021 to 2021
$584k
NIH HHS S10 OD030364NINDS NIH HHS R01 NS065395NINDS NIH HHS U01 NS113339
6 · The paper itself

Abstract

Human speech perception is multisensory, integrating auditory information from the talker's voice with visual information from the talker's face. BOLD fMRI studies have implicated the superior temporal gyrus (STG) in processing auditory speech and the superior temporal sulcus (STS) in integrating auditory and visual speech, but as an indirect hemodynamic measure, fMRI is limited in its ability to track the rapid neural computations underlying speech perception. Using stereoelectroencephalography (sEEG) electrodes, we directly recorded from the STG and STS in 42 epilepsy patients (25F, 17M). Participants identified single words presented in auditory, visual, and audiovisual formats with and without added auditory noise. Seeing the talker's face provided a strong perceptual benefit, improving perception of noisy speech in every participant. Neurally, a subpopulation of electrodes concentrated in mid-posterior STG and STS responded to both auditory speech (latency 71 ms) and visual speech (109 ms). Significant multisensory enhancement was observed, especially in the upper bank of the STS: compared with auditory-only speech, the response latency for audiovisual speech was 40% faster and the response amplitude was 18% larger. In contrast, STG showed neither faster nor larger multisensory responses. Surprisingly, STS response latencies for audiovisual speech were significantly faster than those in the STG (50 ms vs 64 ms), suggesting a parallel pathway model in which the STG plays the primary role in auditory-only speech perception, while the STS takes the lead in audiovisual speech perception. Together with fMRI, sEEG provides converging evidence that STS plays a key role in multisensory integration.

Indexed as

ElectroencephalographySpeech PerceptionTemporal LobeVisual PerceptionAcoustic StimulationAdolescentAdultAuditory PerceptionBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPhotic StimulationStereotaxic TechniquesaudiovisualmultisensorysEEGtemporal cortex

Identifiers

PMID40930977
PMCPMC12528836

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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.