Intact predictive processing in autistic adults: evidence from statistical learning.

Researchers tested whether autistic adults have difficulty learning patterns and making predictions. They had 22 autistic adults and 20 non-autistic adults complete a learning task over 40 minutes. Both groups performed equally well at learning the patterns. This suggests that autistic people's brains can process and learn from patterns just as well as non-autistic people, which challenges some theories about autism.

This study investigated predictive processing abilities in autism by testing statistical learning in 22 autistic and 20 neurotypical adults. Participants learned probability-based patterns over 40 minutes. Using both frequentist and Bayesian statistical methods, researchers found no significant differences between groups in either learning performance or learning dynamics. The findings challenge theories suggesting widespread predictive processing deficits in autism, instead providing evidence for intact statistical learning abilities.

The authors suggest that atypical processing in autism may not necessarily indicate performance deficits, potentially expanding understanding of predictive processing frameworks in autism research.

Findings support focusing on autistic strengths rather than deficits in intervention planning. May inform educational approaches that leverage intact statistical learning abilities. Suggests need for nuanced understanding of predictive processing in autism rather than blanket assumptions of impairment.

Small sample size (42 total participants). Single task paradigm may not capture all aspects of predictive processing. Study type not specified. Limited generalizability to broader autism population or real-world predictive processing scenarios.

Impairment in predictive processes gained a lot of attention in recent years as an explanation for autistic symptoms. However, empirical evidence does not always underpin this framework. Thus, it is unclear what aspects of predictive processing are affected in autism spectrum disorder. In this study, we tested autistic adults on a task in which participants acquire probability-based regularities (that is, a statistical learning task).

Twenty neurotypical and 22 autistic adults learned a probabilistic, temporally distributed regularity for about 40 min. Using frequentist and Bayesian methods, we found that autistic adults performed comparably to neurotypical adults, and the dynamics of learning did not differ between groups either. Thus, our study provides evidence for intact statistical learning in autistic adults. Furthermore, we discuss potential ways this result can extend the scope of the predictive processing framework, noting that atypical processing might not always mean a deficit in performance.