Evidence map›Paper›PMID 36874840›Full record

ArticleFrontiers in psychology2023

Speech comprehension in noisy environments: Evidence from the predictability effects on the N400 and LPC.

Cheng-Hung Hsin, Pei-Chun Chao, Chia-Ying Lee

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Attentional Engagement with Target and Distractor Streams Predicts Speech Comprehension in Multitalker Environments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Article
  7. Article
  8. Causal evidence for a coordinated temporal interplay within the language network.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Cheng-Hung HsinTaiwan International Graduate Program in Interdisciplinary Neuroscience, National Yang Ming Chiao Tung University and Academia Sinica, Taipei, Taiwan.
Pei-Chun ChaoBrain and Language Laboratory, Institute of Linguistics, Academia Sinica, Taipei, Taiwan.
Chia-Ying LeeBrain and Language Laboratory, Institute of Linguistics, Academia Sinica, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Speech comprehension involves context-based lexical predictions for efficient semantic integration. This study investigated how noise affects the predictability effect on event-related potentials (ERPs) such as the N400 and late positive component (LPC) in speech comprehension. Methods: Twenty-seven listeners were asked to comprehend sentences in clear and noisy conditions (hereinafter referred to as "clear speech" and "noisy speech," respectively) that ended with a high-or low-predictability word during electroencephalogram (EEG) recordings. Results: The study results regarding clear speech showed the predictability effect on the N400, wherein low-predictability words elicited a larger N400 amplitude than did high-predictability words in the centroparietal and frontocentral regions. Noisy speech showed a reduced and delayed predictability effect on the N400 in the centroparietal regions. Additionally, noisy speech showed a predictability effect on the LPC in the centroparietal regions. Discussion: These findings suggest that listeners achieve comprehension outcomes through different neural mechanisms according to listening conditions. Noisy speech may be comprehended with a second-pass process that possibly functions to recover the phonological form of degraded speech through phonetic reanalysis or repair, thus compensating for decreased predictive efficiency.

Indexed as

event-related potentialsLPCN400noisepredictability effectpredictive processingspeech comprehension

Identifiers

PMID36874840
PMCPMC9974639

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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.