Computational Psychiatry in Borderline Personality Disorder.
Computational Psychiatry in Borderline Personality Disorder.
复制标题
DOI：
10.1007/s40473-017-0104-y
复制
发表时间：
2017-03
影响因子：
1.7
通讯作者：
Corlett P
中科院分区：
文献类型：
--
作者：
Fineberg SK;Stahl D;Corlett P
我们回顾了关于计算精神病学方法在边缘性人格障碍中的使用和潜在用途的文献。计算方法已用于精神病学，以增加我们对精神疾病的分子、回路和行为基础的理解。这在 BPD 中尤其令人感兴趣，其中生态有效数据的收集，尤其是在人际环境中，变得越来越普遍，并且更经常受到量化。在社会环境中测试学习和记忆、从现实世界环境中收集数据以及将行为与分子和电路网络联系起来的方法正在产生特别令人感兴趣的数据。 BPD 研究应侧重于合作设计和解释与 BPD 核心症状直接相关的实验以及转化为临床的潜力。
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.