解析精神分裂症的拓扑症状结构:网络分析。

IF 3.6 2区 医学 Q1 PSYCHIATRY
Jingjing Li, Lijuan Pang, Fang Liu, Zhe Lu, Yu Zhang, Yongfeng Yang, Xue Li, Qiushi Hu, Keju Su, Yishao Chen, Yan Zhang, Fangfang Zhao, Xueqin Song, Gangrui Hei
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disentangling the topological symptom structure of schizophrenia: A network analysis.

Background and hypothesis: The Positive and Negative Syndrome Scale (PANSS), comprehensively assesses schizophrenia severity. While network analyses of schizophrenic symptoms have yielded inconsistent results, components of disorganized thought consistently rank high in centrality. The present study aims to explore the centrality of disorganized thought across patient subgroups and its potential as a treatment target. We hypothesize that disorganized thought will emerge as a central feature in the symptom network across different patient populations.

Study design: We conducted a network psychometric analysis on data from 1435 schizophrenia patients, stratified into four groups based on family history and sex. Local and global network properties, including centrality, clustering coefficient, degree, density, and community detection, were investigated. Network comparisons were performed across groups, and results were validated using an independent dataset.

Study results: Disorganized thought emerged as the most central factor in Marder 5-factor model, maintaining stability across family history and sex differences. While family history did not significantly impact symptom structures (Females: M = 0.2, P = 0.4; S = 0.4, P = 0.7; Males: M = 0.2, P = 0.7; S = 0.1, P = 0.9), significant differences were observed between male and female symptom structures (Positive family history: M = 0.3, P < 0.05; Negative family history: M = 0.3, P < 0.01). The centrality and high stability of disorganized thought were further confirmed in the validation dataset.

Conclusions: The consistent centrality of disorganized thought across different patient subgroups suggests its potential as a key treatment target for schizophrenia.

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来源期刊
Schizophrenia Research
Schizophrenia Research 医学-精神病学
CiteScore
7.50
自引率
8.90%
发文量
429
审稿时长
10.2 weeks
期刊介绍: As official journal of the Schizophrenia International Research Society (SIRS) Schizophrenia Research is THE journal of choice for international researchers and clinicians to share their work with the global schizophrenia research community. More than 6000 institutes have online or print (or both) access to this journal - the largest specialist journal in the field, with the largest readership! Schizophrenia Research''s time to first decision is as fast as 6 weeks and its publishing speed is as fast as 4 weeks until online publication (corrected proof/Article in Press) after acceptance and 14 weeks from acceptance until publication in a printed issue. The journal publishes novel papers that really contribute to understanding the biology and treatment of schizophrenic disorders; Schizophrenia Research brings together biological, clinical and psychological research in order to stimulate the synthesis of findings from all disciplines involved in improving patient outcomes in schizophrenia.
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