ReviewFrontiers in psychiatry2021
A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression.
Review 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 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Dynamics of depression symptoms in adolescents during three types of psychotherapy and post-treatment follow-up.Journal of child psychology and psychiatry, and allied disciplines · 2025Trial
- Complex dynamics in psychological data: Mapping individual symptom trajectories to group-level patterns.Behavior research methods · 2026Article
- Comparison of depressive symptoms between heterosexual and sexual minority university students: network analysis.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026Article
- Diminished anticipatory-consummatory pleasure interplay in high schizotypal traits and subthreshold depression: potential risk for schizophrenia and depression.Schizophrenia (Heidelberg, Germany) · 2026Article
- Psychometric properties and validity of a Mobile Patient Health Questionnaire-9 (MPHQ-9) for ecological momentary assessment in depressed adults.Psychological assessment · 2026Article
- The Role of Feedback Loops in Dynamical Symptom Networks.Scientific reports · 2026Article
- Article
- Robustness, Generalizability, and Heterogeneity of Dynamic Networks of Psychopathology.Cognitive therapy and research · 2026Article
- The Associations Between Income and Depression: A Cross-National Analysis.Depression and anxiety · 2026Article
- A transdiagnostic network analysis of psychosocial-clinical-cognitive functioning in young people with bipolar and major depressive disorders.Frontiers in psychiatry · 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
- Decolonizing mental health: how native languages reshape depression network architecture in 31,276 Peruvians.Scientific reports · 2025Article
- Effect of a national mental health campaign on population mental resilience in the Netherlands: a retrospective longitudinal cohort analysis using a dynamical systems perspective.The Lancet regional health. Europe · 2025Article
- Transdiagnostic Network Mapping of Psychopathology in Daily Life: Rationale and Research Protocol.Clinical psychology in Europe · 2025Article
- Complex temporal dynamics of mental health indicators: A longitudinal network approach perspective.Psychological medicine · 2025Article
- Network Analysis of Anxiety in Prostate Cancer Patients.Psycho-oncology · 2025Article
- Advances in the research of comorbid insomnia and depression: mechanisms, impacts, and interventions.Frontiers in psychiatry · 2025Review
- No relation between fMRI findings and thought distortion in mood disorder? A claim for new studies.Frontiers in psychiatry · 2025Article
- Core Symptoms and Dynamic Interactions of Depressive Symptoms in Older Chinese Adults: A Longitudinal Network Analysis.Depression and anxiety · 2025Article
- The Relationship Between Nonsuicidal Self-Injury and Depression Symptoms in Chinese Adolescents: A Cross-Lagged Panel Network Analysis.Psychology research and behavior management · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The network theory of psychopathology proposes that mental disorders arise from direct interactions between symptoms. This theory provides a promising framework to understand the development and maintenance of mental disorders such as depression. In this narrative review, we summarize the literature on network studies in the field of depression. Four methodological network approaches are distinguished: (i) studies focusing on symptoms at the macro-level vs. (ii) on momentary states at the micro-level, and (iii) studies based on cross-sectional vs. (iv) time-series (dynamic) data. Fifty-six studies were identified. We found that different methodological approaches to network theory yielded largely inconsistent findings on depression. Centrality is a notable exception: the majority of studies identified either positive affect or anhedonia as central nodes. To aid future research in this field, we outline a novel complementary network theory, the momentary affect dynamics (MAD) network theory, to understand the development of depression. Furthermore, we provide directions for future research and discuss if and how networks might be used in clinical practice. We conclude that more empirical network studies are needed to determine whether the network theory of psychopathology can indeed enhance our understanding of the underlying structure of depression and advance clinical treatment.
Indexed as
Identifiers
What OpenQuestion holds
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.