T73. Altered Reinforcement Learning From Reward and Punishment in Women With Anorexia Nervosa

2018 ◽  
Vol 83 (9) ◽  
pp. S157
Author(s):  
Christina Wierenga ◽  
Amanda Bischoff-Grethe ◽  
Emily Romero ◽  
Danika Peterson ◽  
Tiffany Brown ◽  
...  
2020 ◽  
Vol 87 (9) ◽  
pp. S141
Author(s):  
Christina Wierenga ◽  
Erin Reilly ◽  
Amanda Bischoff-Grethe ◽  
Walter Kaye ◽  
Gregory Brown

Author(s):  
Christina E. Wierenga ◽  
Erin Reilly ◽  
Amanda Bischoff-Grethe ◽  
Walter H. Kaye ◽  
Gregory G. Brown

ABSTRACT Objectives: Anorexia nervosa (AN) is associated with altered sensitivity to reward and punishment. Few studies have investigated whether this results in aberrant learning. The ability to learn from rewarding and aversive experiences is essential for flexibly adapting to changing environments, yet individuals with AN tend to demonstrate cognitive inflexibility, difficulty set-shifting and altered decision-making. Deficient reinforcement learning may contribute to repeated engagement in maladaptive behavior. Methods: This study investigated learning in AN using a probabilistic associative learning task that separated learning of stimuli via reward from learning via punishment. Forty-two individuals with Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 restricting-type AN were compared to 38 healthy controls (HCs). We applied computational models of reinforcement learning to assess group differences in learning, thought to be driven by violations in expectations, or prediction errors (PEs). Linear regression analyses examined whether learning parameters predicted BMI at discharge. Results: AN had lower learning rates than HC following both positive and negative PE (p < .02), and were less likely to exploit what they had learned. Negative PE on punishment trials predicted lower discharge BMI (p < .001), suggesting individuals with more negative expectancies about avoiding punishment had the poorest outcome. Conclusions: This is the first study to show lower rates of learning in AN following both positive and negative outcomes, with worse punishment learning predicting less weight gain. An inability to modify expectations about avoiding punishment might explain persistence of restricted eating despite negative consequences, and suggests that treatments that modify negative expectancy might be effective in reducing food avoidance in AN.


2019 ◽  
Author(s):  
Jennifer R Sadler ◽  
Grace Elisabeth Shearrer ◽  
Nichollette Acosta ◽  
Kyle Stanley Burger

BACKGROUND: Dietary restraint represents an individual’s intent to limit their food intake and has been associated with impaired passive food reinforcement learning. However, the impact of dietary restraint on an active, response dependent learning is poorly understood. In this study, we tested the relationship between dietary restraint and food reinforcement learning using an active, instrumental conditioning task. METHODS: A sample of ninety adults completed a response-dependent instrumental conditioning task with reward and punishment using sweet and bitter tastes. Brain response via functional MRI was measured during the task. Participants also completed anthropometric measures, reward/motivation related questionnaires, and a working memory task. Dietary restraint was assessed via the Dutch Restrained Eating Scale. RESULTS: Two groups were selected from the sample: high restraint (n=29, score &gt;2.5) and low restraint (n=30; score &lt;1.85). High restraint was associated with significantly higher BMI (p=0.003) and lower N-back accuracy (p=0.045). The high restraint group also was marginally better at the instrumental conditioning task (p=0.066, r=0.37). High restraint was also associated with significantly greater brain response in the intracalcarine cortex (MNI: 15, -69, 12; k=35, pfwe&lt; 0.05) to bitter taste, compared to neutral taste.CONCLUSIONS: High restraint was associated with improved performance on an instrumental task testing how individuals learn from reward and punishment. This may be mediated by greater brain response in the primary visual cortex, which has been associated with mental representation. Results suggest that dietary restraint does not impair response-dependent reinforcement learning.


Author(s):  
Margarita Sala ◽  
Amy H. Egbert ◽  
Jason M. Lavender ◽  
Andrea B. Goldschmidt

2019 ◽  
Vol 85 (10) ◽  
pp. S324-S325 ◽  
Author(s):  
Karin Foerde ◽  
Nathaniel Daw ◽  
Daphna Shohamy ◽  
Teresa Rufin ◽  
B. Timothy Walsh ◽  
...  

2017 ◽  
Vol 71 (9) ◽  
pp. 647-658 ◽  
Author(s):  
Ema Murao ◽  
Genichi Sugihara ◽  
Masanori Isobe ◽  
Tomomi Noda ◽  
Michiko Kawabata ◽  
...  

2019 ◽  
Vol 7 (6) ◽  
pp. 1372-1388
Author(s):  
Miranda L. Beltzer ◽  
Stephen Adams ◽  
Peter A. Beling ◽  
Bethany A. Teachman

Adaptive social behavior requires learning probabilities of social reward and punishment and updating these probabilities when they change. Given prior research on aberrant reinforcement learning in affective disorders, this study examines how social anxiety affects probabilistic social reinforcement learning and dynamic updating of learned probabilities in a volatile environment. Two hundred and twenty-two online participants completed questionnaires and a computerized ball-catching game with changing probabilities of reward and punishment. Dynamic learning rates were estimated to assess the relative importance ascribed to new information in response to volatility. Mixed-effects regression was used to analyze throw patterns as a function of social anxiety symptoms. Higher social anxiety predicted fewer throws to the previously punishing avatar and different learning rates after certain role changes, suggesting that social anxiety may be characterized by difficulty updating learned social probabilities. Socially anxious individuals may miss the chance to learn that a once-punishing situation no longer poses a threat.


2016 ◽  
Vol 96 ◽  
pp. 40-46 ◽  
Author(s):  
Amy Harrison ◽  
Lot Sternheim ◽  
Caitlin O'Hara ◽  
Anna Oldershaw ◽  
Ulrike Schmidt

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