This brief review examines the potential to use decision science to objectively characterize depression. We provide a brief overview of the existing literature examining different domains of decision-making in depression. Because this overview highlights the specific role of reinforcement learning as an important decision process affected in the disorder, we then introduce reinforcement learning modeling and explain how this approach has identified specific reinforcement learning deficits in depression. We conclude with ideas for future research at the intersection of decision science and depression, emphasizing the potential for decision science to help uncover underlying mechanisms and targets for the treatment of depression.

中文翻译：

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利用决策科学来描述抑郁症的特征。


这篇简短的综述探讨了使用决策科学客观描述抑郁症的潜力。我们简要概述了研究抑郁症不同决策领域的现有文献。因为本概述强调了强化学习作为受疾病影响的重要决策过程的具体作用，所以我们随后介绍了强化学习模型，并解释了这种方法如何识别抑郁症中的特定强化学习缺陷。最后，我们提出了决策科学与抑郁症交叉点的未来研究想法，强调了决策科学帮助揭示治疗抑郁症的潜在机制和目标的潜力。