Evidence map›Paper›PMID 38263364›Full record

ArticleNature communications2024

Acoustic and language-specific sources for phonemic abstraction from speech.

Anna Mai, Stephanie Riès, Sharona Ben-Haim, Jerry J Shih, Timothy Q Gentner

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Invariant correlation: a general and straightforward method to quantify invariance in time-varying neural signals.Proceedings of the ... Conference on Cognitive Computational Neuroscience · 2026
    Article
  4. 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

5 authors.

Anna MaiUniversity of California, San Diego, Linguistics, 9500 Gilman Dr., La Jolla, CA, 92093, USA. acmai@ucsd.edu.ORCID 0000-0002-8343-9216
Stephanie RièsSan Diego State University, School of Speech, Language, and Hearing Sciences, 5500 Campanile Drive, San Diego, CA, 92182, USA.ORCID 0000-0003-0308-0635
Sharona Ben-HaimUniversity of California, San Diego, Neurological Surgery, 9500 Gilman Dr., La Jolla, CA, 92093, USA.
Jerry J ShihUniversity of California, San Diego, Neurosciences, 9500 Gilman Dr., La Jolla, CA, 92093, USA.ORCID 0000-0002-0680-0362
Timothy Q GentnerUniversity of California, San Diego, Psychology, 9500 Gilman Dr., La Jolla, CA, 92093, USA.ORCID 0000-0002-4516-9841

Funding

TRAINING PROGRAM IN COGNITIVE NEUROSCIENCET32MH020002 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEJNOWSKI, TERRENCE J · 1999 to 2020
$6.1M
Temporal Pattern Perception Mechanisms for Acoustic CommunicationR01DC018055 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TIMOTHY Q GENTNER · 2019 to 2026
$2.6M
NIDCD NIH HHS R01 DC018055NIMH NIH HHS T32 MH020002
6 · The paper itself

Abstract

Spoken language comprehension requires abstraction of linguistic information from speech, but the interaction between auditory and linguistic processing of speech remains poorly understood. Here, we investigate the nature of this abstraction using neural responses recorded intracranially while participants listened to conversational English speech. Capitalizing on multiple, language-specific patterns where phonological and acoustic information diverge, we demonstrate the causal efficacy of the phoneme as a unit of analysis and dissociate the unique contributions of phonemic and spectrographic information to neural responses. Quantitive higher-order response models also reveal that unique contributions of phonological information are carried in the covariance structure of the stimulus-response relationship. This suggests that linguistic abstraction is shaped by neurobiological mechanisms that involve integration across multiple spectro-temporal features and prior phonological information. These results link speech acoustics to phonology and morphosyntax, substantiating predictions about abstractness in linguistic theory and providing evidence for the acoustic features that support that abstraction.

Indexed as

LanguageSpeechAcousticsHumansLinguisticsSpeech Acoustics

Identifiers

PMID38263364
PMCPMC10805762

What OpenQuestion holds

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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.