par Briganti, Giovanni ;Kornreich, Charles ;Linkowski, Paul
Référence Brain and Behavior
Publication Publié, 2021-03-01
Article révisé par les pairs
Résumé : Objectives: The aim of this study is to explore mania as a network of its symptoms, inspired by the network approach to mental disorders. Methods: 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. Results: 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. Conclusions: 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.