Evidence map›Paper›PMID 41454620›Full record

ArticleSocial cognitive and affective neuroscience2026

Reward-related language processing of maternal speech in infants at different likelihood of ASD.

Eiichi Hoshino, Masahiro Hata, Mingdi Xu, Yasuyo Minagawa

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Eiichi HoshinoCenter for Design of Future Symbiosis, Global Research Institute, Keio University, Tokyo, 108-8345, Japan.
Masahiro HataCenter for Design of Future Symbiosis, Global Research Institute, Keio University, Tokyo, 108-8345, Japan.
Mingdi XuCenter for Design of Future Symbiosis, Global Research Institute, Keio University, Tokyo, 108-8345, Japan.ORCID 0000-0002-5715-9763
Yasuyo MinagawaCenter for Design of Future Symbiosis, Global Research Institute, Keio University, Tokyo, 108-8345, Japan.ORCID 0000-0002-1609-4617

Funding

MEXT Kakenhi 19H05594MEXT Kakenhi 23H05410
6 · The paper itself

Abstract

This longitudinal study investigated the differential impacts of maternal speech on early socio-communicative development in infants at low likelihood (LL) and elevated likelihood (EL) of autism spectrum disorder (ASD). Using functional near-infrared spectroscopy, we measured cortical responses and connectivity in 6-month-old infants while they listened to their mother's voice and an unfamiliar female voice. LL infants exhibited extensive cortical activation and robust connectivity in temporal and frontal regions, particularly in areas associated with voice processing, reward, and language functions. In contrast, EL infants showed minimal activation and weaker connectivity in these regions. Specifically, LL infants demonstrated significant connectivity between the superior temporal gyrus and the inferior frontal gyrus on the left side and between the orbitofrontal cortex and language areas, facilitating language processing and reward-related responses to maternal speech. These neural patterns were absent in EL infants, highlighting a neural basis for subsequent language delays. Furthermore, many of these reward-related or language-related networks predicted subsequent language development. Our findings underscore the importance of neural sensitivity to familiar human voices, regarding them as rewards that will eventually facilitate the acquisition of speech.

Indexed as

Autism Spectrum DisorderBrainLanguageLanguage DevelopmentMother-Child RelationsRewardSpeechSpeech PerceptionBrain MappingFemaleHumansInfantLongitudinal StudiesMaleMothersSpectroscopy, Near-Infraredautism spectrum disorderfunctional near-infrared spectroscopyinfantorbitofrontal cortextemporal voice patch

Identifiers

PMID41454620
PMCPMC12875601

What OpenQuestion holds

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LicenceCC BY-NC
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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.