ArticlePloS one2014
A network view on psychiatric disorders: network clusters of symptoms as elementary syndromes of psychopathology.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed.
- Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications.Journal of autism and developmental disorders · 2020Trial
- Identifying symptom communities and core symptoms in the anxiety-depression network among computer science students.Scientific reports · 2026Article
- Psychometric evaluation of the DSM-5-TR-Level 1 Cross-Cutting Symptom Measure: transdiagnostic factor analysis in a real-world psychiatric outpatient sample.Frontiers in psychiatry · 2026Article
- Network analysis of anxiety, depression, stress, and sleep disturbances in healthcare workers.Frontiers in psychiatry · 2026Article
- Multilayer network analysis of mental health symptoms in UK University students: association patterns of depression, loneliness, and suicidal ideation.Frontiers in psychiatry · 2026Article
- Problem-sustaining patterns: redesigning the concept of mental disorder.Frontiers in psychiatry · 2025Article
- The Associations of Exposome Score with Various Domains of Psychopathology: A Network Analysis in a Non-Clinical Sample.Brain sciences · 2024Article
- Network Structure of Autism Spectrum Disorder Behaviors and Its Evolution in Preschool Children: Insights from a New Longitudinal Network Analysis Method.Journal of autism and developmental disorders · 2023Article
- Network Analysis of ADHD Symptoms and Cognitive Profiles in Children.Neuropsychiatric disease and treatment · 2023Article
- Network Analysis of the Structure of the Core Symptoms and Clinical Correlates in Comorbid Schizophrenia and Gambling Disorder.International journal of mental health and addiction · 2022Article
- Profile of Treatment-Seeking Gaming Disorder Patients: A Network Perspective.Journal of gambling studies · 2022Article
- Structure and stability of symptoms in first episode psychosis: a longitudinal network approach.Translational psychiatry · 2021Article
- A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression.Frontiers in psychiatry · 2021Review
- Transdiagnostic approaches to mental health problems: Current status and future directions.Journal of consulting and clinical psychology · 2020Article
- MorbiNet: multimorbidity networks in adult general population. Analysis of type 2 diabetes mellitus comorbidity.Scientific reports · 2020Article
- Observational
- Pathway and network embedding methods for prioritizing psychiatric drugs.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2020Article
- The Network Structure of Personality Pathology in Adolescence With the 100-Item Personality Inventory for DSM-5 Short-Form (PID-5-SF).Frontiers in psychology · 2020Article
- Article
- Topological Analysis of the Language Networks of Ancient Traditional Chinese Medicine Books.Evidence-based complementary and alternative medicine : eCAM · 2020Article
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2 authors.
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Abstract
introductionThe vast number of psychopathological syndromes that can be observed in clinical practice can be described in terms of a limited number of elementary syndromes that are differentially expressed. Previous attempts to identify elementary syndromes have shown limitations that have slowed progress in the taxonomy of psychiatric disorders.
aimTo examine the ability of network community detection (NCD) to identify elementary syndromes of psychopathology and move beyond the limitations of current classification methods in psychiatry.
methods192 patients with unselected mental disorders were tested on the Comprehensive Psychopathological Rating Scale (CPRS). Principal component analysis (PCA) was performed on the bootstrapped correlation matrix of symptom scores to extract the principal component structure (PCS). An undirected and weighted network graph was constructed from the same matrix. Network community structure (NCS) was optimized using a previously published technique.
resultsIn the optimal network structure, network clusters showed a 89% match with principal components of psychopathology. Some 6 network clusters were found, including "Depression", "Mania", "Anxiety", "Psychosis", "Retardation", and "Behavioral Disorganization". Network metrics were used to quantify the continuities between the elementary syndromes.
conclusionWe present the first comprehensive network graph of psychopathology that is free from the biases of previous classifications: a 'Psychopathology Web'. Clusters within this network represent elementary syndromes that are connected via a limited number of bridge symptoms. Many problems of previous classifications can be overcome by using a network approach to psychopathology.
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