Unit of Epidemiology, Biostatistics, and Clinical Research, Université libre de Bruxelles, Brussels, Belgium.
Laboratoire de Psychologie Médicale et Addictologie, Université libre de Bruxelles, Brussels, Belgium.
Brain Behav. 2021 Mar;11(3):e02010. doi: 10.1002/brb3.2010. Epub 2021 Jan 16.
The aim of this study is to explore mania as a network of its symptoms, inspired by the network approach to mental disorders.
Network structures of both cross-sectional and temporal effects were measured at three time points (admission, middle of hospital stay, and discharge) in a sample of 100 involuntarily committed patients diagnosed with bipolar I disorder with severe manic features and hospitalized in a specialized psychiatric ward.
Elevated mood is the most interconnected symptom in the network on admission, while aggressive behavior and irritability are highly predictive of each other, as well as language-thought disorder and "content" (the presence of abnormal ideas or delusions). Elevated mood is influenced by many symptoms in the temporal network.
The investigation of manic symptoms with network analysis allows for identifying important symptoms that are better connected to other symptoms at a given moment and over time. The connectivity of the manic symptoms evolves over time. Central symptoms could be considered as targets for clinical intervention when treating severe mania.
本研究旨在探索躁狂作为其症状的网络，灵感来自于对精神障碍的网络方法。
在一个专门的精神科病房中，对 100 名被强制住院、诊断为有严重躁狂特征的双相 I 障碍的患者，在三个时间点（入院时、住院中期和出院时）测量了横断面和时间效应的网络结构。
入院时，情绪高涨是网络中连接性最强的症状，而攻击性和易怒性彼此高度相关，言语思维障碍和“内容”（异常想法或妄想的存在）也是如此。情绪高涨受时间网络中许多症状的影响。
用网络分析来研究躁狂症状，可以识别出在特定时刻和随时间变化与其他症状更好地联系的重要症状。躁狂症状的连接性是随时间变化的。在治疗严重躁狂时，核心症状可以被视为临床干预的目标。
