Department of Psychology, University of Amsterdam.
Perspect Psychol Sci. 2017 Nov;12(6):999-1020. doi: 10.1177/1745691617705892. Epub 2017 Sep 5.
Since the introduction of mental disorders as networks of causally interacting symptoms, this novel framework has received considerable attention. The past years have resulted in over 40 scientific publications and numerous conference symposia and workshops. Now is an excellent moment to take stock of the network approach: What are its most fundamental challenges, and what are potential ways forward in addressing them? After a brief conceptual introduction, we first discuss challenges to network theory: (1) What is the validity of the network approach beyond some commonly investigated disorders such as major depression? (2) How do we best define psychopathological networks and their constituent elements? And (3) how can we gain a better understanding of the causal nature and real-life underpinnings of associations among symptoms? Next, after a short technical introduction to network modeling, we discuss challenges to network methodology: (4) heterogeneity of samples studied with network analytic models, and (5) a lurking replicability crisis in this strongly data-driven and exploratory field. Addressing these challenges may propel the network approach from its adolescence into adulthood and promises advances in understanding psychopathology both at the nomothetic and idiographic level.
自从将精神障碍视为因果相互作用的症状网络引入以来,这个新颖的框架引起了相当大的关注。在过去的几年中,已经产生了 40 多篇科学出版物以及众多会议专题讨论会和研讨会。现在是对网络方法进行评估的绝佳时机:它面临的最基本的挑战是什么,以及解决这些挑战的潜在方法是什么?简要介绍概念之后,我们首先讨论网络理论的挑战:(1)网络方法除了常见的研究障碍(例如重度抑郁症)之外,在其他方面的有效性如何?(2)我们如何最好地定义精神病理学网络及其组成要素?以及(3)我们如何更好地了解症状之间关联的因果性质和现实基础?接下来,在对网络建模进行简短的技术介绍之后,我们将讨论网络方法的挑战:(4)网络分析模型研究的样本的异质性,以及(5)在这个强烈的数据驱动和探索性领域中潜在的复制危机。应对这些挑战可以将网络方法从青春期推向成年期,并有望在理论和个体水平上增进对精神病理学的理解。