Evidence map›Paper›PMID 36726796›Full record

ArticleCerebral cortex communications2023

Individual theta-band cortical entrainment to speech in quiet predicts word-in-noise comprehension.

Robert Becker, Alexis Hervais-Adelman

Abstract read
In one paragraph

Article in Cerebral cortex communications, 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
–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

3 citing papers in PubMed.

  1. Perceptual and Cognitive Effects of Focal Transcranial Direct Current Stimulation of Auditory Cortex in Tinnitus.Neuromodulation : journal of the International Neuromodulation Society · 2025
    Trial
  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

2 authors.

Robert BeckerNeurolinguistics, Department of Psychology, University of Zurich, Zurich 8050, Switzerland.ORCID https://orcid.org/0000-0001-7615-9390
Alexis Hervais-AdelmanNeurolinguistics, Department of Psychology, University of Zurich, Zurich 8050, Switzerland.ORCID https://orcid.org/0000-0002-5232-626X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Speech elicits brain activity time-locked to its amplitude envelope. The resulting speech-brain synchrony (SBS) is thought to be crucial to speech parsing and comprehension. It has been shown that higher speech-brain coherence is associated with increased speech intelligibility. However, studies depending on the experimental manipulation of speech stimuli do not allow conclusion about the causality of the observed tracking. Here, we investigate whether individual differences in the intrinsic propensity to track the speech envelope when listening to speech-in-quiet is predictive of individual differences in speech-recognition-in-noise, in an independent task. We evaluated the cerebral tracking of speech in source-localized magnetoencephalography, at timescales corresponding to the phrases, words, syllables and phonemes. We found that individual differences in syllabic tracking in right superior temporal gyrus and in left middle temporal gyrus (MTG) were positively associated with recognition accuracy in an independent words-in-noise task. Furthermore, directed connectivity analysis showed that this relationship is partially mediated by top-down connectivity from premotor cortex-associated with speech processing and active sensing in the auditory domain-to left MTG. Thus, the extent of SBS-even during clear speech-reflects an active mechanism of the speech processing system that may confer resilience to noise.

Indexed as

cerebro-acoustic coherencefunctional connectivitygranger causalityspeech comprehensionspeech-in-noise

Identifiers

PMID36726796
PMCPMC9883620

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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.