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A network structure of manic symptoms
Author(s) -
Briganti Giovanni,
Kornreich Charles,
Linkowski Paul
Publication year - 2021
Publication title -
brain and behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.915
H-Index - 41
ISSN - 2162-3279
DOI - 10.1002/brb3.2010
Subject(s) - mania , irritability , bipolar disorder , mood , psychiatry , psychology , intervention (counseling) , mood disorders , medicine , clinical psychology , anxiety
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.

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