Prediction by Young Autistic Children from Visual and Spoken Input.

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...

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Publicado en:Journal of Autism & Developmental Disorders Vol. 56; no. 2; pp. 574 - 587
Autores principales: Mathée-Scott, Janine, Prescott, Kathryn E., Pomper, Ron, Saffran, Jenny, Weismer, Susan Ellis
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Feb2026
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Prediction by Young Autistic Children from Visual and Spoken Input.
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          Mathée-Scott, Janine
          Prescott, Kathryn E.
          Pomper, Ron
          Saffran, Jenny
          Weismer, Susan Ellis
        affil: https://ror.org/01y2jtd41 Department of Communication Sciences and Disorders, University of Wisconsin – Madison, 1975 Willow Dr, 53706, Madison, WI, USA
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        subj:
          Autism Spectrum Disorder In Infancy and Childhood
          Visual Perception In Infancy and Childhood
          Auditory Perception In Infancy and Childhood
          Human
          Child
          Child, Preschool
          Descriptive Statistics
          Child Behavior
          Male
          Female
          Cognition
          Scales
          Videorecording
          Language
          Data Analysis Software
          Funding Source
          Odds Ratio
          Child: 6-12 years
          Child, Preschool: 2-5 years
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
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        Journal Article
      ougenre: Article
    language: English
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