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Reward Learning Through the Lens of RDoC: a Review of Theory, Assessment, and Empirical Findings in the Eating Disorders.

Lauren M SchaeferJoanna E Steinglass
Published in: Current psychiatry reports (2021)
Data from behavioral tasks suggest deficits in reinforcement learning, which may become more pronounced with increasing disorder severity and duration. Self-report data strongly implicate positive eating and thinness/restriction expectancies (an element of reward prediction error) in the onset and maintenance of eating pathology. Finally, self-report measures of habit strength demonstrate relationships with eating pathology and illness duration; however, behavioral task data do not support relationships between eating pathology and a propensity towards general habit development. Existing studies are limited, but provide preliminary support for the presence of abnormal reward learning in eating disorders. Continued research is needed to address identified gaps in the literature.
Keyphrases
  • weight loss
  • physical activity
  • electronic health record
  • big data
  • systematic review
  • traumatic brain injury
  • working memory
  • machine learning
  • prefrontal cortex
  • artificial intelligence