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Record W4412994708 · doi:10.1038/s42003-025-08594-8

Prenatal linguistic exposure shapes language brain responses at birth

2025· article· en· W4412994708 on OpenAlexafffund
Andréanne René, Laura Caron-Desrochers, Julie Tremblay, Phetsamone Vannasing, Kassandra Roger, Solène Fourdain, Laurence Petitpas, Catherine Taillefer, Isabelle Boucoiran, Judit Gervain, Natacha Paquette, Anne Gallagher

Bibliographic record

VenueCommunications Biology · 2025
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsSte. Anne's HospitalUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersCanadian Institutes of Health ResearchCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsLinguisticsPsychologyPrenatal exposurePregnancyBiologyPhilosophyGestation

Abstract

fetched live from OpenAlex

Newborns have an immature brain network responsible for speech processing that resembles the adult language network. However, it remains unclear how prenatal experience modulates this network. To test this, we exposed 39 fetuses to a story in their native language and in a foreign language during the last month of gestation, while another group of 21 fetuses received no experimental prenatal exposure. Within 3 days of life, neonates' brain responses were recorded using functional near-infrared spectroscopy (fNIRS) whilst they listened to the same story in their native language and in two foreign languages, one of which neonates had been prenatally exposed to. Results revealed that brain responses to the native language and the prenatally exposed foreign language were similar, whereas they differed in the left temporal and right prefrontal regions when listening to a prenatally unexposed foreign language. Findings indicate that foetuses' linguistic environment influences speech processing at birth.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.368
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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