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[精神病理学中的症状网络介绍]

[Introduction to symptom networks in psychopathology].

作者信息

Gauld Christophe

机构信息

Service de neurologie et psychiatrie, CHU Grenoble-Alpes, domaine de La Merci, 38000 La Tronche, France - Adresse actuelle : Service de Psychiatrie du Centre Hospitalier Universitaire de Saint-Étienne, Hôpital de Bellevue, 25 boulevard Pasteur, 42000 Saint-Étienne, France.

出版信息

Med Sci (Paris). 2020 Feb;36(2):163-168. doi: 10.1051/medsci/2020016. Epub 2020 Mar 4.

Abstract

In this article, we present the main methodological principles of symptom networks in psychopathology. It is a topological approach linking entities from different scales of analysis of an individual (from genetics to behavior, via cerebral connectivity). They are an alternative to the Diagnostic and Statistical Manual of Mental Disorders (DSM) and Research Domain Criteria (RDoC), but they do not exclude them. Symptom networks exceed or circumvent some limits of these classifications. Furthermore, they contribute to the stratification and organization of these nosologies. Behind the originality of its methodology, this program proposes a redefinition of mental illness which modifies the conception of psychiatry. But their future is still uncertain: they must take on an epistemological and methodological challenge. At the same time, they have to convince the community of mental health researchers and clinicians of their utility and value.

摘要

在本文中,我们介绍了精神病理学中症状网络的主要方法论原则。这是一种拓扑学方法,它将个体不同分析尺度的实体联系起来(从基因到行为,通过大脑连通性)。它们是《精神疾病诊断与统计手册》(DSM)和研究领域标准(RDoC)的替代方案,但并不排斥它们。症状网络超越或规避了这些分类的一些局限性。此外,它们有助于这些疾病分类学的分层和组织。在其方法论的独特性背后,该计划提出了对精神疾病的重新定义,这改变了精神病学的概念。但其未来仍不确定:它们必须应对认识论和方法论上的挑战。与此同时,它们必须让心理健康研究人员和临床医生群体相信其效用和价值。

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