ArticleJournal of psychopathology and clinical science2022
Estimating the symptom structure of bipolar disorder via network analysis: Energy dysregulation as a central symptom.
Article in Journal of psychopathology and clinical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Network Structure of Perinatal Depressive Symptoms Among Women in Rural Bihar.Indian journal of psychological medicine · 2026Article
- Occupational stress, burnout, and depression: an exploration from a network analysis perspective.Psychological medicine · 2026Article
- Multifactorial associations of non-suicidal self-injury among adolescents with depression: a network analytic perspective.BMC psychology · 2026Article
- Statistical evidence in psychological networks.Nature human behaviour · 2026Article
- Non-Suicidal Self-Injury-Related Implicit Cognition Among Chinese Adolescents: The Roles of Psychological Flexibility and School Climate.Journal of youth and adolescence · 2025Article
- Effective targets of intervention on generalized anxiety symptoms across whole adolescence and emerging adulthood: network analysis and insilico intervention.European child & adolescent psychiatry · 2025Article
- Bioenergetic biomarkers as predictive indicators and their relationship with cognitive function in newly diagnosed, drug-naïve patients with bipolar disorder.Translational psychiatry · 2025Article
- Mapping the Relationships between Dimensions of Child Anxiety, Parental Anxiety, and Family Accommodation: A Network Analysis.Child psychiatry and human development · 2025Article
- Elucidating the relationship between burnout and sleep disturbances among firefighters: a network analysis.BMC public health · 2025Article
- Mapping Connection and Direction Among Symptoms of Sleep Disturbance and Perceived Stress in Firefighters: Embracing the Network Analysis Perspective.Nature and science of sleep · 2025Article
- Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students.BMC psychiatry · 2024Article
- Major Problems in Clinical Psychological Science and How to Address them. Introducing a Multimodal Dynamical Network Approach.Cognitive therapy and research · 2024Article
- Autistic Symptoms, Irritability, and Executive Dysfunctions: Symptom Dynamics from Multi-Network Models.Journal of autism and developmental disorders · 2024Article
- Sleep, Mental Health, and the Need for Physical and Real-Life Social Contact with (Non-)Family Members during the COVID-19 Pandemic: A Bayesian Network Analysis.Journal of clinical medicine · 2024Article
- Clarifying directional dependence among measures of early auditory processing and cognition in schizophrenia: leveraging Gaussian graphical models and Bayesian networks.Psychological medicine · 2024Article
- The metabolic overdrive hypothesis: hyperglycolysis and glutaminolysis in bipolar mania.Molecular psychiatry · 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
- Machine Learning and Bayesian Network Analyses Identifies Psychiatric Disorders and Symptom Associations with Insomnia in a national sample of 31,285 Treatment-Seeking College Students.Research square · 2024Article
- Manic Residual Symptoms Also Deserve Attention: A Symptom Network Analysis of Residual Symptoms in Bipolar Disorder.Neuropsychiatric disease and treatment · 2024Article
- The Symptom Structure and Causal Relationships of Comorbid Anxiety and Depression Among Chinese Primary and Middle School Teachers: A Network Analysis.Psychology research and behavior management · 2024Article
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Authors and funding
5 authors.
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Abstract
Using network analysis, we estimated the structure of relations among manic and depressive symptoms, respectively, in 486 patients (59% women; age: M = 37, SD = 12.1) with bipolar disorder prior to their entering a clinical trial. We computed three types of networks: (a) Gaussian graphical models (GGMs) depicting regularized partial correlations, (b) regression-based GGMs depicting nonregularized partial correlations, and (c) directed acyclic graphs (DAGs) via a Bayesian hill-climbing algorithm. Low energy and elevated energy were consistently identified as central nodes in the GGMs and as key parent nodes in the DAGs. Across analyses, pessimism about the future and depressed mood were the symptoms most strongly associated with suicidal thoughts and behavior. These exploratory analyses provide rich information about how bipolar disorder symptoms relate to one another, thereby furnishing a foundation for investigating how bipolar disorder symptoms may operate as a causal system. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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