Department of Psychiatry, Massachusetts General Hospital, Boston, MA02114, USA.
Harvard Medical School, Boston, MA02114, USA.
Psychol Med. 2020 Feb;50(3):353-366. doi: 10.1017/S0033291719003404. Epub 2019 Dec 26.
The network approach to psychopathology posits that mental disorders can be conceptualized and studied as causal systems of mutually reinforcing symptoms. This approach, first posited in 2008, has grown substantially over the past decade and is now a full-fledged area of psychiatric research. In this article, we provide an overview and critical analysis of 363 articles produced in the first decade of this research program, with a focus on key theoretical, methodological, and empirical contributions. In addition, we turn our attention to the next decade of the network approach and propose critical avenues for future research in each of these domains. We argue that this program of research will be best served by working toward two overarching aims: (a) the identification of robust empirical phenomena and (b) the development of formal theories that can explain those phenomena. We recommend specific steps forward within this broad framework and argue that these steps are necessary if the network approach is to develop into a progressive program of research capable of producing a cumulative body of knowledge about how specific mental disorders operate as causal systems.
网络精神病理学方法假设,精神障碍可以被概念化为相互强化症状的因果系统,并进行研究。该方法于 2008 年首次提出,在过去十年中得到了实质性的发展,现已成为精神病学研究的一个成熟领域。在本文中,我们对该研究计划的第一个十年中产生的 363 篇文章进行了概述和批判性分析,重点关注关键的理论、方法和经验贡献。此外,我们将注意力转向网络方法的下一个十年,并针对这些领域中的每一个提出未来研究的关键途径。我们认为,为实现以下两个总体目标,该研究计划将得到最好的服务:(a) 确定稳健的经验现象,以及(b) 发展能够解释这些现象的形式理论。我们在这个广泛的框架内提出了具体的前进步骤,并认为如果网络方法要发展成为一个能够积累关于特定精神障碍如何作为因果系统运作的知识的渐进式研究计划,那么这些步骤是必要的。