ArticlePloS one2013
A network approach to psychopathology: new insights into clinical longitudinal data.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT02647801 (The SMASH Study), which is not on this map. Cited by 243 papers, 3 of them syntheses that pooled it.
What it found
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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.
The SMASH Study: Self-control and Mindfulness Within Ambulatorily Assessed Network Systems Across Health Related Domains
Who cites it
243 citing papers in PubMed, 3 syntheses or guidelines pooled it, 705 citations in OpenAlex.
- Studies of Social Anxiety Using Ambulatory Assessment: Systematic Review.JMIR mental health · 2024Pooled it
- Network-based methods for psychometric data of eating disorders: A systematic review.PloS one · 2022Pooled it
- Complex affect dynamics add limited information to the prediction of psychological well-being.Nature human behaviour · 2019Pooled it
- 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
- Temporal dynamics of CBT emotion regulation training in patients with major depression using ecological momentary assessment.Scientific reports · 2025Trial
- Motivation toward physical activity and nutrition in older cancer patients: the MONAGE protocol using ecological momentary assessment and accelerometers.BMC geriatrics · 2025Trial
- The Network Structure of Tobacco Withdrawal in a Community Sample of Smokers Treated With Nicotine Patch and Behavioral Counseling.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Trial
- Highways to happiness for autistic adults? Perceived causal relations among clinicians.PloS one · 2020Trial
- Network Analysis of Anxiety in the Autism Realm.Journal of autism and developmental disorders · 2019Trial
- Network Analysis of the Multidimensional Symptom Experience of Oncology.Scientific reports · 2019Trial
- Semantically Constrained Detection of Systemic Archetype-Inspired Patterns in Idiographic Case Formulations: A Rule-Based Framework Using FCM-FRHP Functional Semantics.European journal of investigation in health, psychology and education · 2026Article
- Tobacco withdrawal system recovery time assessed during smoking satiety predicts smoking behavior change among individuals who smoke cigarettes daily.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026Article
- Gender-specific temporal dynamics of depressive symptoms and emotional resilience in adolescents: a cross-lagged network and simulation-based intervention study.Child and adolescent psychiatry and mental health · 2026Article
- Introducing openESM: A database of openly available experience sampling datasets.Behavior research methods · 2026Article
- Cognitive network plasticity across divergent aging trajectories: an exploratory graph-theoretic study.GeroScience · 2026Article
- Complex affect dynamics offer limited incremental value for cross-sectional prediction of psychological and behavioural variables in cross-validated models.BMC medicine · 2026Article
- Comparing training window selection methods for prediction in non-stationary time series.The British journal of mathematical and statistical psychology · 2026Article
- An investigation into in-sample and out-of-sample model selection for nonstationary autoregressive models.The British journal of mathematical and statistical psychology · 2026Article
- Using network science to examine temporal relationships between 24-hour movement behaviors and depression during the transition to college: protocol for a prospective cohort study.Journal of activity, sedentary and sleep behaviors · 2026Article
- Simulating symptom-specific interventions linking depression and anxiety among civil aviation college students: a network analysis differentiated by perceived parental relationships.BMC psychology · 2026Article
183 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the network approach to psychopathology, disorders are conceptualized as networks of mutually interacting symptoms (e.g., depressed mood) and transdiagnostic factors (e.g., rumination). This suggests that it is necessary to study how symptoms dynamically interact over time in a network architecture. In the present paper, we show how such an architecture can be constructed on the basis of time-series data obtained through Experience Sampling Methodology (ESM). The proposed methodology determines the parameters for the interaction between nodes in the network by estimating a multilevel vector autoregression (VAR) model on the data. The methodology allows combining between-subject and within-subject information in a multilevel framework. The resulting network architecture can subsequently be analyzed through network analysis techniques. In the present study, we apply the method to a set of items that assess mood-related factors. We show that the analysis generates a plausible and replicable network architecture, the structure of which is related to variables such as neuroticism; that is, for subjects who score high on neuroticism, worrying plays a more central role in the network. Implications and extensions of the methodology are discussed.
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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.