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Prediction Gone Awry: A Computational Framework for Emotion Dysregulation Across Autism and
Hari Srinivasan1,2,3,4, Carissa J Cascio5,6, Mark T Wallace1,2,3,4,7,8,9,10,11,12
1Vanderbilt University, Nashville, Tennessee, USA.
Journal of Child and Adolescent Psychopharmacology
|May 12, 2026
Summary
Emotion dysregulation in autism and ADHD may stem from how the brain processes prediction errors. This predictive-coding model offers new avenues for developmental research and interventions.
Area of Science:
- Neuroscience
- Developmental Psychology
- Computational Psychiatry
Background:
- Emotion dysregulation is prevalent in childhood and adolescence, particularly in autism and attention-deficit/hyperactivity disorder (ADHD).
- Existing research often describes symptoms like irritability and slow return to baseline without detailing the underlying computational mechanisms.
- A deeper understanding of the brain's predictive processes is needed to explain and address emotion regulation challenges.
Purpose of the Study:
- To propose a predictive-coding framework for understanding emotion regulation and dysregulation.
- To hypothesize specific computational differences in autism and ADHD related to prediction error processing.
- To identify potential physiological markers for testing these hypotheses.
Main Methods:
- The study proposes a theoretical framework based on predictive coding principles.
- It hypothesizes how altered precision of prediction errors and expectation updating contribute to emotion dysregulation.
- Candidate physiological correlates such as heart-rate variability and pupillary variability are outlined for empirical investigation.
Main Results:
- Emotion dysregulation may arise from overweighted prediction errors (excessive precision) or sluggish updating of prior expectations.
- Autism is hypothesized to involve heightened confidence in surprising inputs and slow expectation updating, leading to reactivity and inertia.
- ADHD may be characterized by weaker expectations and unstable gain control, resulting in rapid affective swings.
Conclusions:
- A predictive-coding account offers a mechanistic explanation for emotion dysregulation in developmental disorders.
- This framework suggests interventions should focus on restoring flexible inference rather than direct emotion suppression.
- Further empirical validation in developmental samples is required to confirm these hypotheses.
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