Prediction by Young Autistic Children from Visual and Spoken Input
Janine Mathée-Scott1,2,3, Kathryn E Prescott4,5,6, Ron Pomper7,8
1Department of Communication Sciences and Disorders, University of Wisconsin - Madison, 1975 Willow Dr, Madison, WI, 53706, USA. matheesc@msu.edu.
Journal of Autism and Developmental Disorders
|October 3, 2024
Summary
Autistic children showed similar learning to neurotypical peers with non-linguistic auditory cues. However, autistic children demonstrated hyperplastic learning in linguistically-relevant contexts, adjusting less to changes in predictive relationships.
Area of Science:
- Neuroscience
- Developmental Psychology
- Cognitive Science
Background:
- Autism Spectrum Disorder (ASD) is theorized to involve altered processing of probabilistic events.
- This may lead to 'hyperplasticity,' where prediction errors are overweighted, impacting learning.
- Previous research focused on nonverbal, visual contexts with older individuals.
Purpose of the Study:
- To investigate prediction and adaptation to changing predictive relationships in autistic and neurotypical children.
- To examine auditory stimuli, including linguistic and non-linguistic cues.
- To assess if autistic children exhibit hyperplastic learning in auditory contexts.
Main Methods:
- 32 autistic and 32 neurotypical children participated.
- Two eye-gaze tasks used auditory-visual cues predicting reward location.
- Experiment 1: Non-linguistic cue (sound). Experiment 2: Linguistic cue (speaker gender).
- Cue-reward contingency switched mid-task to assess adaptation.
Main Results:
- Both groups performed similarly on the non-linguistic auditory task.
- Autistic children's predictive looking was less disrupted by the contingency switch in the linguistic task.
- This suggests reduced impact of prediction errors in linguistically-relevant auditory learning for autistic children.
Conclusions:
- Autistic children may exhibit hyperplastic learning, particularly in linguistically-relevant auditory contexts.
- Findings challenge previous assumptions by using auditory stimuli and younger participants.
- Results contribute to understanding the neurobiological underpinnings of ASD traits.
Keywords:
Autism spectrum disorderCognitionHyperplasticityLanguagePredictive coding theoryPredictive processing

