Evidence map›Paper›PMID 39361065›Full record

ArticleJournal of autism and developmental disorders2026

Prediction by Young Autistic Children from Visual and Spoken Input.

Janine Mathée-Scott, Kathryn E Prescott, Ron Pomper, Jenny Saffran, Susan Ellis Weismer

Abstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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 synthesis or guideline pooled it.

  1. Pooled it
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.

Janine Mathée-ScottDepartment of Communication Sciences and Disorders, University of Wisconsin - Madison, 1975 Willow Dr, Madison, WI, 53706, USA. matheesc@msu.edu.ORCID http://orcid.org/0000-0003-0001-8895
Kathryn E PrescottDepartment of Communication Sciences and Disorders, University of Wisconsin - Madison, 1975 Willow Dr, Madison, WI, 53706, USA.
Ron PomperDepartment of Communicative Sciences and Disorders, Michigan State University, 1026 Red Cedar Road, East Lansing, MI, 48824, USA.
Jenny SaffranWaisman Center, University of Wisconsin - Madison, 1500 Highland Avenue, Madison, WI, 53705, USA.
Susan Ellis WeismerDepartment of Communication Sciences and Disorders, University of Wisconsin - Madison, 1975 Willow Dr, Madison, WI, 53706, USA.

Funding

Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI MESSING, ALBEE · 2016 to 2020
$6.0M
Prediction and Early Language Development in Young Children with ASDR01DC017974 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI ELLIS-WEISMER, SUSAN, SAFFRAN, JENNY R. · 2019 to 2023
$3.0M
Prediction and Word Learning in Young Children with Autism Spectrum DisorderF31DC020902 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI MATHEE-SCOTT, JANINE R · 2022 to 2024
$95k
Exemplar Variability in Cross-Situational Word Learning Among Young Autistic ChildrenF31DC020901 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI PRESCOTT, KATHRYN ELAINE · 2022 to 2023
$86k
NICHD NIH HHS U54 HD090256NIDCD NIH HHS F31 DC020901NIDCD NIH HHS F31 DC020902NIDCD NIH HHS R01 DC017974NIDCD NIH HHS R01 DC17974
6 · The paper itself

Abstract

Recent theoretical accounts suggest that differences in the processing of probabilistic events underlie the core and associated traits of autism spectrum disorder (ASD). These theories hypothesize that autistic individuals are differentially impacted by disruptions in probabilistic input relative to neurotypical peers. According to this view, autistic individuals assign disproportionate weight to prediction errors such that novel input is overweighted relative to the aggregation of prior input; this is referred to as 'hyperplasticity' of learning. Prediction among autistic individuals has primarily been examined in nonverbal, visual contexts with older children and adults. The present study examined 32 autistic and 32 cognitively-matched neurotypical (NT) children's ability to generate predictions and adjust to changes in predictive relationships in auditory stimuli using two eye gaze tasks. In both studies, children were trained and tested on an auditory-visual cue which predicted the location of a reward stimulus. In Experiment 1 the cue was non-linguistic (instrumental sound) whereas in Experiment 2 the cue was linguistically-relevant (speaker gender). In both experiments, the cue-reward contingency was switched after the first block of trials, and predictive behavior was evaluated across a second block of trials. Analyses of children's looking behavior revealed similar performance in both groups on the non-linguistic task (Exp. 1). In the linguistically-relevant task (Exp. 2), predictive looking was less disrupted by the contingency switch for autistic children than NT children. Results suggest that autistic children may demonstrate hyperplastic learning in linguistically-relevant contexts, relative to NT peers.

Indexed as

Auditory PerceptionAutism Spectrum DisorderAutistic DisorderSpeech PerceptionVisual PerceptionAcoustic StimulationChildChild, PreschoolCuesFemaleHumansMalePhotic StimulationRewardAutism spectrum disorderCognitionHyperplasticityLanguagePredictive coding theoryPredictive processing

Identifiers

PMID39361065
PMCPMC11965428

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Registered trials

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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.