Evidence map›Paper›PMID 42185252›Full record

ArticleTranslational psychiatry2026

Early Trajectories of Resting-State EEG power in autistic children: a longitudinal study across language profiles.

Kenza Latrèche, Michel Godel, Ana Flò, Fiona Journal, Valentina Borghesani, Marie Schaer

Abstract read
In one paragraph

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

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Kenza LatrècheAutism Brain and Behavior Lab, Faculty of Medicine, University of Geneva, Geneva, Switzerland. kenza.latreche@unige.ch.ORCID http://orcid.org/0000-0003-0264-4048
Michel GodelDivision of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland.
Ana FlòCognitive Neuroimaging Unit, Université Paris Saclay, NeuroSpin center, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-3260-0559
Fiona JournalAutism Brain and Behavior Lab, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID http://orcid.org/0009-0001-8269-3765
Valentina BorghesaniNeurobiology of Concepts Expression Laboratory, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-7909-8631
Marie SchaerAutism Brain and Behavior Lab, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 163859Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 190084Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 202235Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 212653Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 51NF40-185897
6 · The paper itself

Abstract

Language development in autism spectrum disorder (ASD) is heterogeneous, ranging from subtle differences to significant delays. In previous work, we identified three autistic language profiles in early childhood: Language Unimpaired (LU), Language Impaired (LI), and Minimally-Verbal (MV). While these profiles show distinct vocabulary, grammar, and pragmatic development, understanding their underlying neural correlates is essential to predict outcomes and develop targeted interventions. Here, we examined whole-brain resting-state EEG power across five canonical frequency bands in a longitudinal sample comprising 66 typically developing (TD) children and 122 autistic children (ages 1.6-6.0 years), yielding 358 time points. Within the ASD group, 61 children belonged to the LU profile, 44 children to LI, and 17 children to MV. Compared to TD peers, autistic children showed increased power in low-frequency (delta, theta) and high-frequency bands (beta, gamma). Gamma power varied by autistic language profile, with the highest levels in MV children. Moreover, gamma power within ASD followed a quadratic trajectory in relation to word combination acquisition, peaking around the time of acquisition and decreasing afterward. This pattern suggests a dynamic, compensatory mechanism supporting the transition to phrase speech, which is a critical milestone toward functional speech that may predict language outcomes in ASD.

Indexed as

Autism Spectrum DisorderBrainBrain WavesLanguage DevelopmentLanguage Development DisordersChildChild, PreschoolElectroencephalographyFemaleHumansInfantLongitudinal StudiesMale

Identifiers

PMID42185252
PMCPMC13385626

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.