动态症状网络的结构是否取决于学生的基线精神病理学?
A Jover Martínez1, Lotte H J M Lemmens1, Eiko I Fried2
1Maastricht University, Clinical Psychological Science, Faculty of Psychology and Neuroscience, the Netherlands.
Behaviour research and therapy
|October 31, 2025
概括
使用时间序列数据分析的精神障碍网络显示,不同精神病理水平的个体之间的连接性没有显著差异. 这表明网络结构可能在不同的精神病理严重程度组中是相似的.
科学领域:
- 心理学 心理学 心理学
- 网络科学 网络科学
- 心理病理学 心理病理学
背景情况:
- 网络理论在精神病理学中提出了不同的精神障碍网络.
- 这种假设需要使用密集的时间序列数据对人内动态进行调查.
- 目前的研究主要使用横截面数据,限制了对动态相互作用的理解.
研究的目的:
- 使用时间序列数据估计同时和时间跨诊断网络.
- 为了比较不同程度的精神病理学的群体之间的网络结构.
- 研究网络理论对跨诊断性精神病理学的适用性.
主要方法:
- 利用了来自192名大学生的生态瞬间评估 (EMA) 数据.
- 估计用于网络分析的多级向量自回归 (mlVAR) 模型.
- 采用了一种新的引导方法来比较跨组的网络效应.
主要成果:
- 两组之间在整体网络连接方面没有发现显著差异.
- 只有少数网络边缘显示出显著差异,影响大小较小.
- 基于心理病理水平,群体级网络结构没有实质性的差异.
结论:
- 研究结果表明,跨诊断网络结构在不同程度的精神病理学中可能没有显著差异.
- 影响包括群体异质性与以个人为中心的分析的潜在影响.
- 网络估计和分析的方法选择对于解释结果至关重要.
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