Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Department of Psychology, The Pennsylvania State University, State College, Pennsylvania.
J Pers Disord. 2020 Oct;34(5):650-676. doi: 10.1521/pedi.2020.34.5.650.
Dimensional approaches to psychiatric nosology are rapidly transforming the way researchers and clinicians conceptualize personality pathology, leading to a growing interest in how individuals differ from one another. Yet, in order to successfully prevent and treat personality pathology, it is also necessary to the sources of these individual differences. The emerging field of personality neuroscience is well-positioned to guide the transition from description to explanation within personality pathology research. However, establishing comprehensive, mechanistic accounts of personality pathology will require personality neuroscientists to move beyond atheoretical studies that link trait differences to neural correlates without considering the algorithmic processes that are carried out by those correlates. We highlight some of the dangers we see in overpopulating personality neuroscience with brain-trait associational studies and offer a series of recommendations for personality neuroscientists seeking to build explanatory theories of personality pathology.
从维度的角度研究精神病学分类正在迅速改变研究人员和临床医生对人格病理学的概念化方式，这导致人们越来越关注个体之间的差异。然而，为了成功预防和治疗人格病理学，还需要了解这些个体差异的来源。新兴的人格神经科学领域非常适合指导人格病理学研究从描述向解释的转变。然而，要建立全面的、机械的人格病理学理论，人格神经科学家需要超越那些仅将特质差异与神经相关性联系起来而不考虑由这些相关性执行的算法过程的非理论性研究。我们强调了在人格神经科学中充斥大量的脑-特质关联研究可能带来的一些危险，并为寻求构建人格病理学解释性理论的人格神经科学家提供了一系列建议。
