Fineberg Sarah K, Stahl Dylan, Corlett Philip
Yale University Department of Psychiatry.
Knox College.
Curr Behav Neurosci Rep. 2017 Mar;4(1):31-40. doi: 10.1007/s40473-017-0104-y. Epub 2017 Feb 4.
We review the literature on the use and potential use of computational psychiatry methods in Borderline Personality Disorder.
Computational approaches have been used in psychiatry to increase our understanding of the molecular, circuit, and behavioral basis of mental illness. This is of particular interest in BPD, where the collection of ecologically valid data, especially in interpersonal settings, is becoming more common and more often subject to quantification. Methods that test learning and memory in social contexts, collect data from real-world settings, and relate behavior to molecular and circuit networks are yielding data of particular interest.
Research in BPD should focus on collaborative efforts to design and interpret experiments with direct relevance to core BPD symptoms and potential for translation to the clinic.
我们回顾了关于计算精神病学方法在边缘型人格障碍中的应用及潜在应用的文献。
计算方法已在精神病学中用于增进我们对精神疾病的分子、神经回路及行为基础的理解。这在边缘型人格障碍中尤其受关注，因为收集生态有效数据，特别是在人际环境中的数据，正变得越来越普遍且更常被量化。在社会背景下测试学习和记忆、从现实世界环境收集数据以及将行为与分子和神经回路网络相关联的方法正在产生特别有趣的数据。
边缘型人格障碍的研究应侧重于协同努力，以设计和解释与边缘型人格障碍核心症状直接相关且具有临床转化潜力的实验。
