ArticlePloS one2015
A Network Approach to Bipolar Symptomatology in Patients with Different Course Types.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 43 citations in OpenAlex.
- Anticipating depression trajectories by measuring plasticity and change through symptom network dynamics.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Revealing differential psychotic symptoms in schizophrenia and bipolar I disorder by manifold learning and network analyses.Translational psychiatry · 2025Article
- Exploring the Association Between Residual Mood Symptoms and Self-Reported Side Effects in the Euthymic Phase of Bipolar Disorders: A Cross-Sectional Network Analysis.Depression and anxiety · 2024Article
- The network structure of mania symptoms differs between people with and without binge eating.Bipolar disorders · 2023Article
- Predicting prognosis for adults with depression using individual symptom data: a comparison of modelling approaches.Psychological medicine · 2023Article
- Estimating the symptom structure of bipolar disorder via network analysis: Energy dysregulation as a central symptom.Journal of psychopathology and clinical science · 2022Article
- Structure and stability of symptoms in first episode psychosis: a longitudinal network approach.Translational psychiatry · 2021Article
- Can network analysis of self-reported psychopathology shed light on the core phenomenology of bipolar disorders in adolescents and young adults?Bipolar disorders · 2021Article
- A network structure of manic symptoms.Brain and behavior · 2021Article
- Network analysis of mood symptoms in adolescents with or at high risk for bipolar disorder.Bipolar disorders · 2020Article
- The Differential Role of Central and Bridge Symptoms in Deactivating Psychopathological Networks.Frontiers in psychology · 2019Article
- The centrality of affective instability and identity in Borderline Personality Disorder: Evidence from network analysis.PloS one · 2017Article
- Bipolarity and suicidal ideation in children and adolescents: a systematic review with meta-analysis.Annals of general psychiatry · 2017Review
- Mental disorders as networks of problems: a review of recent insights.Social psychiatry and psychiatric epidemiology · 2017Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe longitudinal mood course is highly variable among patients with bipolar disorder(BD). One of the strongest predictors of the future disease course is the past disease course, implying that the vulnerability for developing a specific pattern of symptoms is rather consistent over time. We therefore investigated whether BD patients with different longitudinal course types have symptom correlation networks with typical characteristics. To this end we used network analysis, a rather novel approach in the field of psychiatry.
methodBased on two-year monthly life charts, 125 patients with complete 2 year data were categorized into three groups: i.e., a minimally impaired (n = 47), a predominantly depressed (n = 42) and a cycling course (n = 36). Associations between symptoms were defined as the groupwise Spearman's rank correlation coefficient between each pair of items of the Young Mania Rating Scale (YMRS) and the Quick Inventory of Depressive Symptomatology (QIDS). Weighted symptom networks and centrality measures were compared among the three groups.
resultsThe weighted networks significantly differed among the three groups, with manic and depressed symptoms being most strongly interconnected in the cycling group. The symptoms with top centrality that were most interconnected also differed among the course group; central symptoms in the stable group were elevated mood and increased speech, in the depressed group loss of self-esteem and psychomotor slowness, and in the cycling group concentration loss and suicidality.
conclusionSymptom networks based on the timepoints with most severe symptoms of bipolar patients with different longitudinal course types are significantly different. The clinical interpretation of this finding and its implications are discussed.
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