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[精神病理学网络分析:方法学困境、有前景的工具还是一种改写我们对精神障碍所了解的一切的创新趋势?]

[Psychopathological network analysis: methodological impasse, promising tool or an innovative trend that overwrites everything we know about mental disorders?].

作者信息

Rónai Levente, Polner Bertalan

机构信息

Budapesti Muszaki és Gazdasagtudomanyi Egyetem, Kognitiv Tudomanyi Tanszek, Budapest, Hungary, E-mail:

出版信息

Psychiatr Hung. 2021;36(1):12-25.

Abstract

The aim of this paper is to present the theoretical foundations of the network approach to psychopathology and to give an overview of what it promises to deliver, and also to summarize some of the key critiques it has received. According to this approach, mental disorders cannot be mapped with traditional modeling approaches, as they are multifactorial phenomena that are maintained by the complex interplay of various biological, psychological, and social factors. It is expected that new avenues of research may open up through network modeling, however, some have pointed out that a strong distinction between network and common cause models is not well supported. Critics of the network approach claim that network models of mental disorders do not replicate well, while others have found encouraging results in this regard. Although at the moment, the network approach to psychopathology faces signifi - cant challenges, it may facilitate the study of mechanisms involved in the formation and maintenance of mental dis - orders by grasping and intuitively visualizing their complex and dynamic nature, and ultimately may even contribute to the development of personalized treatment planning.

摘要

本文旨在介绍精神病理学网络方法的理论基础,概述其有望带来的成果,并总结它所受到的一些关键批评。根据这种方法,精神障碍无法用传统建模方法进行描绘,因为它们是多因素现象,由各种生物、心理和社会因素的复杂相互作用所维持。预计通过网络建模可能会开辟新的研究途径,然而,一些人指出网络模型与共同病因模型之间的严格区分缺乏充分支持。网络方法的批评者声称,精神障碍的网络模型复制效果不佳,而其他人在这方面则取得了令人鼓舞的成果。尽管目前精神病理学的网络方法面临重大挑战,但它可能通过把握并直观呈现精神障碍复杂和动态的本质,促进对其形成和维持机制的研究,最终甚至可能有助于个性化治疗方案的制定。

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