Evidence map›Paper›PMID 41520112›Full record

ArticleMolecular autism2026

Resting state aperiodic and periodic EEG activity in preschool-aged autistic children: differences from neurotypical peers and links to language skills.

Yanru Chen, Meagan Tsou, Charles A Nelson, Helen Tager-Flusberg, Carol L Wilkinson

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In one paragraph

Article in Molecular autism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yanru ChenDepartment of Learning Sciences, Georgia State University, Atlanta, GA, 30303, USA. ychen146@gsu.edu.ORCID 0000-0001-6419-7189
Meagan TsouDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA.
Charles A NelsonDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-4723-247X
Helen Tager-FlusbergDepartment of Psychological & Brain Sciences, Boston University, Boston, MA, USA.ORCID 0000-0002-8768-5414
Carol L WilkinsonDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-4694-8564

Funding

Predicting and Otimizing Language Outcomes in Minimally Verbal Children with Autism Spectrum DisorderP50DC018006 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KASARI, CONNIE L., TAGER-FLUSBERG, HELEN · 2019 to 2023
$12.3M
Molecular mechanisms of aging in the intrinsic laryngeal musclesR03DC007983 · NIDCD · UNIVERSITY OF KENTUCKY · PI MCMULLEN, COLLEEN A · 2006 to 2009
$249k
NIDCD NIH HHS P50 DC018006NIDCD NIH HHS R03 DC007983
6 · The paper itself

Abstract

backgroundThe neural mechanisms underpinning language development in autism spectrum disorder remain unclear. While prior studies have identified associations between resting-state EEG absolute power and language skills in autistic children, none have examined the distinct roles of aperiodic and periodic activity decomposed from the absolute power spectra on language development in autistic children.

methodsAt the group level, we examined resting-state power spectra differences between 64 neurotypical and 64 age-matched autistic children from 2 to 6 years old, as well as within the autistic group based on language impairment status. At the individual level, we examined whether aperiodic and periodic EEG features were associated with concurrent language skills measured by natural language samples and a standardized language assessment in participants with autism spectrum disorder.

resultsAutistic children exhibited higher aperiodic offset, but not aperiodic slope, compared to their neurotypical peers. While we did not find significant differences in peak alpha frequency and alpha peak amplitude between neurotypical and autistic children, after separating the autistic group by language impairment status, we found that autistic children with language impairment had significantly lower alpha peak amplitude compared to autistic children without language impairment and their age-matched neurotypical peers. Regarding the brain-language association, autistic children with lower aperiodic offset demonstrated better concurrent expressive and receptive language skills, but not nonverbal developmental quotient. Autistic children with higher alpha peak amplitude demonstrated better concurrent language and nonverbal developmental skills. LIMITATIONS: Findings were based on cross-sectional data from children with relatively higher socioeconomic backgrounds. Future studies are needed to explore the longitudinal relation between resting-state EEG aperiodic and periodic features and language development in autistic children, while accounting for potential confounding effects of demographic variability and data quality.

conclusionsThe characteristic features of resting-state power differences vary when comparing autistic children to neurotypical peers versus comparing within the autistic subgroup based on language phenotypes. These findings underscore the importance of considering the heterogeneity of the autism spectrum when investigating the neural mechanisms underlying language development in autistic children.

Indexed as

Autistic DisorderElectroencephalographyLanguageRestCase-Control StudiesChildChild, PreschoolFemaleHumansLanguage DevelopmentMaleAperiodicAutismExpressive languageLanguage impairmentPeriodicPreschoolReceptive languageResting-state EEG

Identifiers

PMID41520112
PMCPMC12849409

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LicenceCC BY-NC-ND
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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 Socratic graph.