Evidence map›Paper›PMID 37442310›Full record

ArticleNeuroImage2023

Multivariate fMRI responses in superior temporal cortex predict visual contributions to, and individual differences in, the intelligibility of noisy speech.

Yue Zhang, Johannes Rennig, John F Magnotti, Michael S Beauchamp

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 3 institutions in 2 countries.

Yue ZhangDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States.
Johannes RennigDivision of Neuropsychology, Center of Neurology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
John F MagnottiDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Michael S BeauchampDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: beaucha@upenn.edu.
University of Pennsylvania · USBaylor College of Medicine · USHertie Institute for Clinical Brain Research · DE

Funding

Project 5: ComputationalP50MH109429 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI Robert Thomas Knight · 2017 to 2026
$25.3M
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
NIMH NIH HHS P50 MH109429NINDS NIH HHS R01 NS065395NINDS NIH HHS U01 NS113339
6 · The paper itself

Abstract

Humans have the unique ability to decode the rapid stream of language elements that constitute speech, even when it is contaminated by noise. Two reliable observations about noisy speech perception are that seeing the face of the talker improves intelligibility and the existence of individual differences in the ability to perceive noisy speech. We introduce a multivariate BOLD fMRI measure that explains both observations. In two independent fMRI studies, clear and noisy speech was presented in visual, auditory and audiovisual formats to thirty-seven participants who rated intelligibility. An event-related design was used to sort noisy speech trials by their intelligibility. Individual-differences multidimensional scaling was applied to fMRI response patterns in superior temporal cortex and the dissimilarity between responses to clear speech and noisy (but intelligible) speech was measured. Neural dissimilarity was less for audiovisual speech than auditory-only speech, corresponding to the greater intelligibility of noisy audiovisual speech. Dissimilarity was less in participants with better noisy speech perception, corresponding to individual differences. These relationships held for both single word and entire sentence stimuli, suggesting that they were driven by intelligibility rather than the specific stimuli tested. A neural measure of perceptual intelligibility may aid in the development of strategies for helping those with impaired speech perception.

Indexed as

SpeechSpeech PerceptionAcoustic StimulationHumansIndividualityMagnetic Resonance ImagingSpeech IntelligibilityTemporal LobeVisual PerceptionAudiovisual multisensoryBold fMRI multivariateSpeech perception

Identifiers

PMID37442310
PMCPMC10460966
OpenAlexW4383904033

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.