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网络分析在精神病理学中的应用:争议与挑战。

Network Analysis of Psychopathology: Controversies and Challenges.

机构信息

Department of Psychology, Harvard University, Cambridge, Massachusetts 02138, USA; email:

出版信息

Annu Rev Clin Psychol. 2021 May 7;17:31-53. doi: 10.1146/annurev-clinpsy-081219-092850. Epub 2020 Nov 23.

DOI:10.1146/annurev-clinpsy-081219-092850
PMID:33228401
Abstract

Empirical publications inspired by the network approach to psychopathology have increased exponentially in the twenty-first century. The central idea that an episode of mental disorder arises from causal interactions among its symptomatic elements has especially resonated with those clinical scientists whose disenchantment with traditional categorical and dimensional approaches to mental illness has become all too apparent. As the field has matured, conceptual and statistical concerns about the limitations of network approaches to psychopathology have emerged, inspiring the development of novel methods to address these concerns. Rather than reviewing the vast empirical literature, I focus instead on the issues and controversies regarding this approach and sketch directions where the field might go next.

摘要

二十一世纪以来,受网络方法启发的精神病理学实证出版物呈指数级增长。核心思想是,精神障碍的发作源于其症状元素之间的因果相互作用,这一思想尤其引起了那些对传统的精神疾病分类和维度方法感到失望的临床科学家的共鸣。随着该领域的成熟,人们对网络方法在精神病理学中的局限性的概念和统计方面的担忧也随之出现,这激发了开发新方法来解决这些问题的灵感。我并没有回顾庞大的实证文献,而是专注于这种方法的问题和争议,并勾勒出该领域下一步可能的发展方向。

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