Evidence map›Paper›PMID 36749457›Full record

ArticleJournal of autism and developmental disorders2024

Dissociation Between Linguistic and Nonlinguistic Statistical Learning in Children with Autism.

Anqi Hu, Violet Kozloff, Amanda Owen Van Horne, Diane Chugani, Zhenghan Qi

Registry-linked trialAbstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06332144 (Predicting Language and Literacy Growth in Children With ASD Using Statistical Learning), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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.

NCT06332144 nacompletednot on this map

Predicting Language and Literacy Growth in Children With ASD Using Statistical Learning

TypeinterventionalSponsorNortheastern UniversityRan2024 to 2025Enrolled41ConditionsAutism Spectrum Disorder, Language Development, LiteracyArmsStructural vs. Random sequences of stimuli, Intact vs. Degraded speech, Repeating 5-syllable nonwords or 2-syllable nonwords, Recall letter or syllable strings that either contain highly frequent bigram/trigram items or infrequent items according to English Corpus data.
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Aberrant Neural Entrainment to Word-Level Speech Patterns in Fragile X Syndrome: Evidence for a Statistical Learning Deficit.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  5. Prediction by Young Autistic Children from Visual and Spoken Input.Journal of autism and developmental disorders · 2026
    Article
  6. Article
  7. Article
  8. The effect of volatility in linguistic input on prediction behavior in autistic toddlers.Autism research : official journal of the International Society for Autism Research · 2024
    Article
  9. Article
  10. Article
  11. Article
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

5 authors.

Anqi HuDepartment of Linguistics and Cognitive Science, University of Delaware, 125 E Main St., Newark, DE, 19716, USA. anqihu@udel.edu.ORCID http://orcid.org/0000-0003-2675-1251
Violet KozloffDepartment of Linguistics and Cognitive Science, University of Delaware, 125 E Main St., Newark, DE, 19716, USA.
Amanda Owen Van HorneDepartment of Communication Sciences and Disorders, University of Delaware, Newark, DE, USA.ORCID http://orcid.org/0000-0002-3517-5885
Diane ChuganiDepartment of Communication Sciences and Disorders, University of Delaware, Newark, DE, USA.ORCID http://orcid.org/0000-0002-6912-260X
Zhenghan QiDepartment of Linguistics and Cognitive Science, University of Delaware, 125 E Main St., Newark, DE, 19716, USA.ORCID http://orcid.org/0000-0002-4812-8842

Funding

Predicting language and literacy growth in children with ASD using statistical learningR56DC020208 · NIDCD · NORTHEASTERN UNIVERSITY · PI QI, ZHENGHAN · 2023 to 2023
$727k
The role of statistical learning in the atypical language development in ASDR21DC017576 · NIDCD · UNIVERSITY OF DELAWARE · PI QI, ZHENGHAN · 2019 to 2022
$547k
NIDCD NIH HHS R21 DC017576NIDCD NIH HHS R21DC017576NIDCD NIH HHS R56 DC020208
6 · The paper itself

Abstract

Statistical learning (SL), the ability to detect and extract regularities from inputs, is considered a domain-general building block for typical language development. We compared 55 verbal children with autism (ASD, 6-12 years) and 50 typically-developing children in four SL tasks. The ASD group exhibited reduced learning in the linguistic SL tasks (syllable and letter), but showed intact learning for the nonlinguistic SL tasks (tone and image). In the ASD group, better linguistic SL was associated with higher language skills measured by parental report and sentence recall. Therefore, the atypicality of SL in autism is not domain-general but tied to specific processing constraints related to verbal stimuli. Our findings provide a novel perspective for understanding language heterogeneity in autism.

Indexed as

Autistic DisorderChildFemaleHumansLanguage DevelopmentLanguage Development DisordersLanguage TestsLearningLinguisticsMaleAutism spectrum disorderLanguage developmentLanguage impairmentStatistical learning

Identifiers

PMID36749457
PMCPMC10404646

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.