Evidence map›Paper›PMID 41972469›Full record

ArticleDevelopmental science2026

Theta Power at 10 Months of Age Predicts Developmental Change in Language in Infants With and Without an Elevated Likelihood for Autism.

Eirini Papageorgopoulou, Jannath Begum Ali, Greg Pasco, Amy Goodwin, Luke Mason, Mark H Johnson, Tony Charman, Kalinka Timmer, Emily J H Jones, STAARS team

Abstract read
In one paragraph

Article in Developmental science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

10 authors.

Eirini PapageorgopoulouCentre for Brain and Cognitive Development, School of Psychological Sciences, Birkbeck, University of London, London, UK.ORCID https://orcid.org/0009-0006-7520-2004
Jannath Begum AliCentre for Brain and Cognitive Development, School of Psychological Sciences, Birkbeck, University of London, London, UK.
Greg PascoInstitute of Psychiatry, Psychology & Neuroscience, Department of Psychology, King's College London, London, UK.
Amy GoodwinDepartment of Forensic and Neurodevelopmental Science, King's College London, London, UK.
Luke MasonDepartment of Forensic and Neurodevelopmental Science, King's College London, London, UK.
Mark H JohnsonCentre for Brain and Cognitive Development, School of Psychological Sciences, Birkbeck, University of London, London, UK.
Tony CharmanInstitute of Psychiatry, Psychology & Neuroscience, Department of Psychology, King's College London, London, UK.ORCID https://orcid.org/0000-0003-1993-6549
Kalinka TimmerFaculty of Psychology, University of Warsaw, Warsaw, Poland.
Emily J H JonesCentre for Brain and Cognitive Development, School of Psychological Sciences, Birkbeck, University of London, London, UK.
STAARS team

Funding

Horizon 2020 Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN)-European Training Network (ETN) 814302 - SAPIENSInnovative Medicines Initiative (IMI) 115300Innovative Medicines Initiative (IMI) 777394Medical Research Council MQ14PP_83Medical Research Council MR/K021389/1Medical Research Council MR/T003057/1
6 · The paper itself

Abstract

Infants with an Elevated Likelihood (EL) for autism are more likely to experience language delays, but their language developmental trajectories are highly heterogeneous. The neurodevelopmental processes driving this variability remain unclear, yet understanding them is important for parsing the heterogeneity in language and informing earlier intervention. However, no studies have examined how developmental changes in brain function are related to changes in language ability across time in this population. In this prospective longitudinal study, we investigated the developmental associations between electroencephalography (EEG) and language measures in a sample of infants enriched for varied language outcomes: Infants with EL and Typical Likelihood (TL) for autism (EL = 99, TL = 60). Measures of EEG power in the relative frontal theta and alpha ranges during natural viewing of social and nonsocial naturalistic videos and observer assessment of language ability were collected at 10, 14, 24 and 36 months. As expected, the EL and TL groups differed in the slope of language ability, with the EL group showing less steep increases in language compared to the TL group. Further, 10-month theta power (but not alpha) was a significant predictor of developmental change in language; autism likelihood group did not moderate this association and theta development was not related to language. Overall, findings suggest slowed language development as an autism trait symptom and that theta power is a predictor of general language ability, not specific to autism. Future research should consider incorporating additional measures to examine the potential environmental or genetic contributions to these associations. SUMMARY: Infants with Elevated Likelihood (EL) for autism vary in their language development, while the neurodevelopmental processes driving this variability are still unclear. The relation between developmental changes in relative electroencephalography (EEG) spectral power and language ability across 10-36 months in infants with and without an EL for autism was examined. The EL group showed less steep increases in language development compared to the TL group, but the groups did not differ in relative EEG power. Theta power was a significant predictor of developmental change in language; this association was not moderated by the autism likelihood group.

Indexed as

Autistic DisorderLanguage DevelopmentLanguage Development DisordersTheta RhythmBrainChild, PreschoolElectroencephalographyFemaleHumansInfantLanguageLongitudinal StudiesMaleProspective Studiesautism spectrum disorderEEG powerlanguage

Identifiers

PMID41972469
PMCPMC13073434

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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.