عنوان انگلیسی مقاله:
Aberrant probabilistic reinforcement learning in first-degree relatives of individuals with bipolar disorder
ترجمه فارسی عنوان مقاله:
یادگیری تقویتی احتمالی نابجا در بستگان درجه یک افراد مبتلا به اختلال دو قطبی
Sciencedirect - Elsevier - Journal of Affective Disorders, 264 (2020) 400-406. doi:10.1016/j.jad.2019.11.063
Julia O. Linkea,⁎, Georgia Koppeb, Vanessa Scholza, Philipp Kanskec,d, Daniel Durstewitzb, Michèle Wessaa
Background: Motivational dysregulation represents a core vulnerability factor for bipolar disorder. Whether this
also comprises aberrant learning of stimulus-reinforcer contingencies is less clear.
Methods: To answer this question, we compared healthy first-degree relatives of individuals with bipolar disorder
(n = 42) known to convey an increased risk of developing a bipolar spectrum disorder and healthy
individuals (n = 97). Further, we investigated the effects of the behavioral activation system (BAS) on reinforcement
learning across the entire sample. All participants were assessed with a probabilistic learning task
that distinguishes learning from positive and negative feedback. Main outcome measures included choice frequencies
and learning rate parameters generated by computational reinforcement learning algorithms.
Results: First-degree relatives choose more rewarding stimuli more consistently and showed marginally reduced
learning rates from unexpected negative feedback. Further, first-degree relatives had lower BAS scores than
controls, which were negatively associated with learning rates from unexpected negative feedback.
Limitations: However as probands also reported other mental disorders such as Attention-Deficit/Hyperactivity
Disorder and substance abuse among their first-degree relatives, we cannot know, whether these findings are
specific to the risk for bipolar disorder.
Conclusion: The behavior of first-degree relatives of individuals with bipolar disorder, who also display increased
BAS sensitivity, is less influenced by unexpected negative feedback. This reduced learning from unexpected
negative feedback biases subsequent choices towards stimuli with higher probabilities for a reward. In
sum, our results confirm the role of aberrant reinforcement learning in the pathophysiology of bipolar disorder.
Keywords: Bipolar disorder | First-degree relatives | Behavioral activation system (BAS) | Reinforcement learning | Computational modeling