ArticleiScience2024
Module control of network analysis in psychopathology.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Food addiction in behavioral addictions: a network approach.Frontiers in psychology · 2026Article
- A Latent profile and network intervention analysis of psychosomatic symptoms in lung cancer immunotherapy patients.PloS one · 2026Article
- Cross-modal conditional associations between psychometric and polysomnographic indicators in sleep center patients: a Gaussian graphical model.Frontiers in psychiatry · 2026Article
- From synapse to system: mechanistic pathways of neural signaling dysfunction in psychiatric disorders.Frontiers in cell and developmental biology · 2026Review
- Pathways for the precise prevention and improvement of mental health among university freshmen: a network analysis and simulated intervention study based on the biopsychosocial model.Frontiers in psychology · 2026Article
- Network analysis of multidimensional symptom experience among postoperative esophageal cancer survivors.Health and quality of life outcomes · 2025Article
- A network analysis study of anxiety, depression and loneliness among middle-aged and elderly people in Xining area.BMC psychology · 2025Article
- Article
- Longitudinal network analysis of mental health trends in Chinese university freshmen: a decadal study (2014-2023).Frontiers in psychology · 2025Article
- Psychiatry in the age of AI: transforming theory, practice, and medical education.Frontiers in public health · 2025Review
- Anxiety and depression in Chinese cataract patients: a network analysis.BMC psychology · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The network approach to characterizing psychopathology departs from traditional latent categorical and dimensional approaches. Causal interplay among symptoms contributed to dynamic psychopathology system. Therefore, analyzing the symptom clusters is critical for understanding mental disorders. Furthermore, despite extensive research studying the topological features of symptom networks, the control relationships between symptoms remain largely unclear. Here, we present a novel systematizing concept, module control, to analyze the control principle of the symptom network at a module level. We introduce Module Control Network (MCN) to identify key modules that regulate the network's behavior. By applying our approach to a multivariate psychological dataset, we discover that non-emotional modules, such as sleep-related and stress-related modules, are the primary controlling modules in the symptom network. Our findings indicate that module control can expose central symptom cluster governing psychopathology network, offering novel insights into the underlying mechanisms of mental disorders and individualized approach to psychological interventions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.