Prediction in Autism Spectrum Disorder: A Systematic Review of Empirical Evidence.
Autistic people show reliable hiccups in learning what comes next, giving BCBAs a new reason to front-load structure and clear cues.
01Research in Context
What this study did
Safer-Lichtenstein et al. (2021) looked at 47 studies about how people with autism predict what comes next. They pulled every paper that tested predictive learning or brain prediction signals in autism.
The team asked: do autistic people differ on simple prediction tasks and on low-level brain prediction? They took studies from 1990 to 2020 and compared findings across labs.
What they found
Across all studies, autistic people showed steady differences in learning what pairs with what and in early brain prediction waves. The review calls this a clear pattern, but no one has tried turning it into therapy yet.
In plain words: autistic brains keep updating their guesses differently, even on basic tasks.
How this fits with other research
Sievers et al. (2020) used eye-tracking and found that autistic kids, even those who speak little, never picked up on repeating picture sequences that typical kids learned fast. Jonathan et al. fold this result into their bigger picture of prediction trouble.
Schuwerk et al. (2016) showed that autistic children could not use how often an action happened to guess what would happen next. The review counts this as more proof that prediction from past patterns is shaky in autism.
Boxum et al. (2018) looked at visual motion prediction and found no group difference—autistic kids guessed where a hidden ball would pop out just as well as peers. This seems to clash with the review's "consistent differences" claim. The key is task type: motion prediction may stay intact while prediction from learned patterns breaks down.
Why it matters
If prediction is a core snag, you can help clients by making upcoming events super clear. Give visual schedules, announce changes early, and teach rules in small repeated steps instead of hoping kids will pick them up implicitly. These supports may lower anxiety that comes from a world that feels unpredictable.
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02At a glance
03Original abstract
According to a recent influential proposal, several phenotypic features of autism spectrum disorder (ASD) may be accounted for by differences in predictive skills between individuals with ASD and neurotypical individuals. In this systematic review, we describe results from 47 studies that have empirically tested this hypothesis. We assess the results based on two observable aspects of prediction: learning a pairing between an antecedent and a consequence and responding to an antecedent in a predictive manner. Taken together, these studies suggest distinct differences in both predictive learning and predictive response. Studies documenting differences in learning predictive pairings indicate challenges in detecting such relationships especially when predictive features of an antecedent have low salience or consistency, and studies showing differences in habituation and perceptual adaptation suggest low-level predictive processing differences in ASD. These challenges may account for the observed differences in the influence of predictive priors, in spontaneous predictive movement or gaze, and in social prediction. An important goal for future research will be to better define and constrain the broad domain-general hypothesis by testing multiple types of prediction within the same individuals. Additional promising avenues include studying prediction within naturalistic contexts and assessing the effect of prediction-based intervention on supporting functional outcomes for individuals with ASD. LAY SUMMARY: Researchers have suggested that many features of autism spectrum disorder (ASD) may be explained by differences in the prediction skills of people with ASD. We review results from 47 studies. These studies suggest that ASD may be associated with differences in the learning of predictive pairings (e.g., learning cause and effect) and in low-level predictive processing in the brain (e.g., processing repeated sounds). These findings lay the groundwork for research that can improve our understanding of ASD and inform interventions. Autism Res 2021, 14: 604-630. © 2021 International Society for Autism Research and Wiley Periodicals LLC.
Autism research : official journal of the International Society for Autism Research, 2021 · doi:10.1093/acprof:oso/9780195332834.003.0017