Network Analysis: An Integrative Approach to the Structure of Psychopathology
Network Analysis: An Integrative Approach to the Structure of Psychopathology
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DOI：
10.1146/annurev-clinpsy-050212-185608
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发表时间：
2013-01-01
期刊：
影响因子：
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通讯作者：
Cramer, Angelique O. J.
中科院分区：
文献类型：
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作者：
Borsboom, Denny;Cramer, Angelique O. J.
在心理病理学的网络研究方法中，疾病是由症状之间的因果相互作用导致的（例如，担忧→失眠→疲劳），可能还涉及反馈回路（例如，一个人可能会滥用药物来忘记因滥用药物而产生的问题）。本综述探讨了适用于识别此类症状网络的方法，并讨论了可用于从此类网络中提取具有临床和科学价值信息的网络分析技术（例如，在一个人的网络中哪种症状最为核心）。作者还展示了如何利用网络分析技术构建模拟症状动态的仿真模型。网络研究方法自然地解释了传统研究策略的有限成功，传统研究策略通常基于症状是某些共同潜在因素的表现这一观点，同时网络研究方法提供了有前景的方法替代方案。此外，这些技术可能为指导和评估治疗干预提供可能性。
In network approaches to psychopathology, disorders result from the causal interplay between symptoms (e.g., worry -> insomnia -> fatigue), possibly involving feedback loops (e. g., a person may engage in substance abuse to forget the problems that arose due to substance abuse). The present review examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e. g., which symptom is most central in a person's network). The authors also show how network analysis techniques may be used to construct simulation models that mimic symptom dynamics. Network approaches naturally explain the limited success of traditional research strategies, which are typically based on the idea that symptoms are manifestations of some common underlying factor, while offering promising methodological alternatives. In addition, these techniques may offer possibilities to guide and evaluate therapeutic interventions.