Evidence map›Paper›PMID 33199412›Full record

ArticleeNeuro

Predictive Processing during a Naturalistic Statistical Learning Task in ASD.

Neelima Wagley, Renee Lajiness-O'Neill, Jessica S F Hay, Margaret Ugolini, Susan M Bowyer, Ioulia Kovelman, Jonathan R Brennan

Open access · goldAbstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
0.5field-weighted citation impact, top 37% of its field
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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. 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
  6. Non-social Language Exposure Facilitates Autistic Children's Language Learning.Journal of autism and developmental disorders · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors at 5 institutions in 1 country.

Neelima WagleyDepartment of Psychology and Human Development, Vanderbilt University, Nashville, TN 37205 neelima.wagley@vanderbilt.edu jobrenn@umich.edu.ORCID 0000-0003-2245-4399
Renee Lajiness-O'NeillDepartment of Psychology, Eastern Michigan University, Ypsilanti, MI 48197.
Jessica S F HayDepartment of Psychology, University of Tennessee, Knoxville, TN 37996.ORCID 0000-0002-0197-6713
Margaret UgoliniDepartment of Psychology, University of Michigan, Ann Arbor, MI 48109.
Susan M BowyerDepartment of Neurology, Henry Ford Hospital, Detroit, MI 48202.
Ioulia KovelmanDepartment of Psychology, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0003-4287-6986
Jonathan R BrennanDepartment of Linguistics, University of Michigan, Ann Arbor, MI 48109 neelima.wagley@vanderbilt.edu jobrenn@umich.edu.ORCID 0000-0002-3639-350X
University of Michigan · USEastern Michigan University · USHenry Ford Hospital · USUniversity of Tennessee at Knoxville · USVanderbilt University · US

Funding

Impact of heritage language on bilingual children's path to English literacy (Diversity Supplement R01 HD092498)R01HD092498 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KOVELMAN, IOULIA · 2018 to 2023
$2.1M
NICHD NIH HHS R01 HD092498
6 · The paper itself

Abstract

Children's sensitivity to regularities within the linguistic stream, such as the likelihood that syllables co-occur, is foundational to speech segmentation and language acquisition. Yet, little is known about the neurocognitive mechanisms underlying speech segmentation in typical development and in neurodevelopmental disorders that impact language acquisition such as autism spectrum disorder (ASD). Here, we investigate the neural signals of statistical learning in 15 human participants (children ages 8-12) with a clinical diagnosis of ASD and 14 age-matched and gender-matched typically developing peers. We tracked the evoked neural responses to syllable sequences in a naturalistic statistical learning corpus using magnetoencephalography (MEG) in the left primary auditory cortex, posterior superior temporal gyrus (pSTG), and inferior frontal gyrus (IFG), across three repetitions of the passage. In typically developing children, we observed a neural index of learning in all three regions of interest (ROIs), measured by the change in evoked response amplitude as a function of syllable surprisal across passage repetitions. As surprisal increased, the amplitude of the neural response increased; this sensitivity emerged after repeated exposure to the corpus. Children with ASD did not show this pattern of learning in all three regions. We discuss two possible hypotheses related to children's sensitivity to bottom-up sensory deficits and difficulty with top-down incremental processing.

Indexed as

Auditory CortexAutism Spectrum DisorderChildHumansLearningMagnetoencephalographyASDdevelopmentlanguageMEGstatistical learning

Identifiers

PMID33199412
PMCPMC7729300
OpenAlexW3104714766

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.