精神病理学的网络方法:调查个体间变异和与精神病临床复发的关系。

IF 4.1 Q2 PSYCHIATRY
George Gillett, Dan W Joyce, Cedric E Ginestet, James H MacCabe, Nicholas Meyer
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引用次数: 0

摘要

近年来,人们对心理网络的兴趣激增,心理网络将精神病理学概念化为相互联系、相互强化的症状网络。据推测,这种网络的拓扑结构与临床表现有关。通过对被诊断为精神病的参与者的纵向研究数据的分析,我们确定了网络结构中存在大量的个体间差异,从而对横断面网络的因果推理提出了问题。此外,我们没有发现强有力的证据表明网络结构与临床复发之间存在关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The network approach to psychopathology: investigating inter-individual variability and the association with clinical relapse in psychosis.

The network approach to psychopathology: investigating inter-individual variability and the association with clinical relapse in psychosis.

The network approach to psychopathology: investigating inter-individual variability and the association with clinical relapse in psychosis.

Recent years have seen a proliferation of interest in psychological networks, which conceptualise psychopathology as networks of inter-connected, mutually reinforcing symptoms. It has been hypothesised that the topological structure of such networks is associated with clinical presentation. Analysing data from a longitudinal study of participants diagnosed with psychosis, we identify substantial inter-individual variability in network structure, problematising causal inference from cross-sectional networks. Additionally, we do not find strong evidence for an association between network structure and clinical relapse.

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