ArticleFrontiers in psychiatry2021
The Mental Health Ecosystem: Extending Symptom Networks With Risk and Protective Factors.
Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Progress and ongoing conceptual challenges "on the way to integrative human neuroscience"-ten years after.Frontiers in integrative neuroscience · 2026Article
- Examining varying number of intervention-modules and change in individual networks in young people remitted from depression or anxiety: Exploratory outcomes of the StayFine randomized clinical trial.Neuroscience applied · 2026Article
- Parental Emotion Socialization and Difficulties in Emotion Regulation in Adolescents: A Network Analysis.Journal of youth and adolescence · 2025Article
- Identification of five sleep-biopsychosocial profiles with specific neural signatures linking sleep variability with health, cognition, and lifestyle factors.PLoS biology · 2025Article
- Early signs of long-term pain: prospective network profiles from late adolescence and lifelong follow-up.Npj mental health research · 2025Article
- Where you live, what you do: depression differences among diverse Chinese nongmin through cognitive openness.Frontiers in psychiatry · 2025Article
- Network analysis: An overview for mental health research.International journal of methods in psychiatric research · 2024Review
- The role of environmental sensitivity in the mental health of Syrian refugee children: a multi-level analysis.Molecular psychiatry · 2024Article
- Time-Varying Network Models for the Temporal Dynamics of Depressive Symptomatology in Patients With Depressive Disorders: Secondary Analysis of Longitudinal Observational Data.JMIR mental health · 2024Article
- A multidimensional investigation of sleep and biopsychosocial profiles with associated neural signatures.Research square · 2024Article
- Unique Challenges in Biomarkers for Psychotic Disorders.Brain sciences · 2024Article
- A network approach to emotion regulation and symptom activation in depression and anxiety.Frontiers in public health · 2024Article
- Elevated emotion network connectivity is associated with fluctuations in depression.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A Cross-Country Network Analysis of Resilience Systems in Young Adults.Emerging adulthood (Print) · 2023Article
- Restoring the missing person to personalized medicine and precision psychiatry.Frontiers in neuroscience · 2023Article
- Resilience in sports through the lens of dynamic network structures.Frontiers in network physiology · 2023Article
- Article
- Network Analysis of Depressive Symptomatology in Underweight and Obese Adults.Journal of primary care & community healthArticle
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Inspired by modeling approaches from the ecosystems literature, in this paper, we expand the network approach to psychopathology with risk and protective factors to arrive at an integrated analysis of resilience. We take a complexity approach to investigate the multifactorial nature of resilience and present a system in which a network of interacting psychiatric symptoms is targeted by risk and protective factors. These risk and protective factors influence symptom development patterns and thereby increase or decrease the probability that the symptom network is pulled toward a healthy or disorder state. In this way, risk and protective factors influence the resilience of the network. We take a step forward in formalizing the proposed system by implementing it in a statistical model and translating different influences from risk and protective factors to specific targets on the node and edge parameters of the symptom network. To analyze the behavior of the system under different targets, we present two novel network resilience metrics: Expected Symptom Activity (ESA, which indicates how many symptoms are active or inactive) and Symptom Activity Stability (SAS, which indicates how stable the symptom activity patterns are). These metrics follow standard practices in the resilience literature, combined with ideas from ecology and physics, and characterize resilience in terms of the stability of the system's healthy state. By discussing the advantages and limitations of our proposed system and metrics, we provide concrete suggestions for the further development of a comprehensive modeling approach to study the complex relationship between risk and protective factors and resilience.
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