ArticleBrain and behavior2021
A network structure of manic symptoms.
Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Causal discovery methods in psychological research: Foundations, algorithms, and a practical tutorial in R.Behavior research methods · 2026Review
- The network approach to psychopathology: investigating inter-individual variability and the association with clinical relapse in psychosis.Schizophrenia (Heidelberg, Germany) · 2025Article
- Understanding the complex network of anxiety, depression, sleep problems, and smartphone addiction among college art students using network analysis.Frontiers in psychiatry · 2025Article
- Module control of network analysis in psychopathology.iScience · 2024Article
- Adaption and validation of the Rwandese version of the Young Mania Rating Scale to measure the severity of a manic or hypomanic episode.BMC psychiatry · 2024Article
- Pathways between Child Maltreatment, Psychological Symptoms, and Life Satisfaction: A Network Analysis in Adolescent Inpatients.Research on child and adolescent psychopathology · 2024Article
- The Role of Anxiety and Depression in Shaping the Sleep-Pain Connection in Patients with Nonspecific Chronic Spinal Pain and Comorbid Insomnia: A Cross-Sectional Analysis.Journal of clinical medicine · 2024Article
- A network structure of manic symptoms.Brain and behavior · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe aim of this study is to explore mania as a network of its symptoms, inspired by the network approach to mental disorders.
methodsNetwork 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.
resultsElevated 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.
conclusionsThe 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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