Abstract

Recent theoretical accounts propose that atypical predictive processing can explain the diverse cognitive and behavioral features associated with autism, and that difficulties in making predictions may be related to reduced contextual processing. In this pre‐registered study, 30 autistic children aged 6–14 years and 30 typically developing children matched in age and non‐verbal IQ completed visual extrapolation and false memory tasks to assess predictive abilities and contextual processing, respectively. In the visual extrapolation tasks, children were asked to predict when an occluded car would reach the end of a road and when an occluded set of lights would fill up a grid. Autistic children made predictions that were just as precise as those made by typically developing children, across a range of occlusion durations. In the false memory task, autistic and typically developing children did not differ significantly in their discrimination between items presented in a list and semantically related, non‐presented items, although the data were insensitive, suggesting the need for larger samples. Our findings help to refine theoretical accounts by challenging the notion that autism is caused by pervasively disordered prediction abilities. Further studies will be required to assess the relationship between predictive processing and context use in autism, and to establish the conditions under which predictive processing may be impaired. Autism Res 2018, 11: 509–518. © 2017 The Authors Autism Research published by International Society for Autism Research and Wiley Periodicals, Inc.Lay SummaryIt has been suggested that autistic individuals have difficulties making predictions and perceiving the overall gist of things. Yet, here we found that autistic children made similar predictions about hidden objects as non‐autistic children. In a memory task, autistic children were slightly less confused about whether they had heard a word before, when words were closely related in meaning. We conclude that autistic children do not show difficulties with this type of prediction.

Highlights

  • Many theories have linked autism to cognitive impairments, including weak central coherence [Frith, 1989; Frith & Happe, 1994], impaired executive functioning [Pennington & Ozonoff, 1996] and reduced theory of mind [Baron-Cohen, Leslie, & Frith, 1985]

  • We presented dynamic extrapolation and false memory tasks to autistic and typically developing children and hypothesized that, (a) autistic children would show less precise predictions in both dynamic extrapolation tasks, with a widening gap in performance as occlusion durations increase, (b) autistic children would be less susceptible to false memories, with a greater sensitivity for discriminating true items from false items and recognizing fewer critical lures compared to typically developing children, and (c) reduced prediction precision would be related to increased sensitivity in the false memory task

  • We presented visual extrapolation and verbal false memory tasks to autistic and typically developing children and found no evidence for predictive impairments in the autistic children

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Summary

Introduction

Many theories have linked autism to cognitive impairments, including weak central coherence [Frith, 1989; Frith & Happe, 1994], impaired executive functioning [Pennington & Ozonoff, 1996] and reduced theory of mind [Baron-Cohen, Leslie, & Frith, 1985]. The focus has turned to atypical predictive processing as a potential cause of social and non-social symptoms, including altered sensory processing, insistence on sameness, repetitive behaviors and difficulty with social interactions [Friston, Lawson, & Frith, 2013; Gomot & Wicker, 2012; Lawson, Rees, & Friston, 2014; Palmer, Lawson, & Hohwy, 2017; Pellicano & Burr, 2012; Sinha et al, 2014; van de Cruys et al, 2014]. Lawson and colleagues suggested that prediction errors may be weighted more highly in autism, either as a result of over-precise estimates of sensory precision or under-precise estimates of prior precision [Lawson et al, 2014; Palmer et al, 2017]. Sinha et al [2014] suggested that autism is characterized by generally disordered prediction, stemming from impairments

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