精神病理网络分析:方法论上的僵局,有前途的工具,还是一种覆盖我们对精神障碍所知的一切的创新趋势?]

Q4 Medicine
Psychiatria Hungarica Pub Date : 2021-01-01
Levente Rónai, Bertalan Polner
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引用次数: 0

摘要

本文的目的是介绍精神病理学网络方法的理论基础,概述其承诺提供的内容,并总结其收到的一些关键批评。根据这种方法,精神障碍不能用传统的建模方法来绘制,因为它们是由各种生物、心理和社会因素复杂的相互作用维持的多因素现象。预计通过网络建模可以开辟新的研究途径,然而,一些人指出,网络模型和共同原因模型之间的强烈区别并没有得到很好的支持。网络方法的批评者声称,精神障碍的网络模型不能很好地复制,而其他人在这方面发现了令人鼓舞的结果。尽管目前,精神病理学的网络方法面临着巨大的挑战,但它可以通过掌握和直观地可视化精神障碍的复杂性和动态性,促进对精神障碍形成和维持机制的研究,最终甚至可能有助于制定个性化的治疗计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Psychopathological network analysis: methodological impasse, promising tool or an innovative trend that overwrites everything we know about mental disorders?]

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.

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来源期刊
Psychiatria Hungarica
Psychiatria Hungarica Medicine-Medicine (all)
CiteScore
0.40
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