ArticlePloS one2016
An n=1 Clinical Network Analysis of Symptoms and Treatment in Psychosis.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 101 citations in OpenAlex.
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- Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality.Psychometrika · 2022Article
- Using language in social media posts to study the network dynamics of depression longitudinally.Nature communications · 2022Article
- Using network models in person-centered care in psychiatry: How perspectivism could help to draw boundaries.Frontiers in psychiatry · 2022Review
- Early Warning Signals in Phase Space: Geometric Resilience Loss Indicators From Multiplex Cumulative Recurrence Networks.Frontiers in physiology · 2022Article
- Structure and stability of symptoms in first episode psychosis: a longitudinal network approach.Translational psychiatry · 2021Article
- ESMvis: a tool for visualizing individual Experience Sampling Method (ESM) data.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021Article
- Toward a Complex Network of Risks for Psychosis: Combining Trauma, Cognitive Biases, Depression, and Psychotic-like Experiences on a Large Sample of Young Adults.Schizophrenia bulletin · 2021Article
- Personalized ESM monitoring and feedback to support psychological treatment for depression: a pragmatic randomized controlled trial (Therap-i).BMC psychiatry · 2021Article
- Personalizing Psychological Care for Chronic Cancer-Related Fatigue: A Case Study on Symptom Dynamics.Journal for person-oriented research · 2021Article
- A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression.Frontiers in psychiatry · 2021Review
- Poor Separation of Clinical Symptom Profiles by DSM-5 Disorder Criteria.Frontiers in psychiatry · 2021Article
- Using person-specific networks in psychotherapy: challenges, limitations, and how we could use them anyway.BMC medicine · 2020Article
- Evaluation of a temporal causal model for predicting the mood of clients in an online therapy.Evidence-based mental health · 2020Article
- A network perspective on body dysmorphic disorder and major depressive disorder.Journal of affective disorders · 2020Article
- A Temporal Network Approach to Paranoia: A Pilot Study.Frontiers in psychology · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDynamic relationships between the symptoms of psychosis can be shown in individual networks of psychopathology. In a single patient, data collected with the Experience Sampling Method (ESM-a method to construct intensive time series of experience and context) can be used to study lagged associations between symptoms in relation to illness severity and pharmacological treatment.
methodThe patient completed, over the course of 1 year, for 4 days per week, 10 daily assessments scheduled randomly between 10 minutes and 3 hours apart. Five a priori selected symptoms were analysed: 'hearing voices', 'down', 'relaxed', 'paranoia' and 'loss of control'. Regression analysis was performed including current level of one symptom as the dependent variable and all symptoms at the previous assessment (lag) as the independent variables. Resulting regression coefficients were printed in graphs representing a network of symptoms. Network graphs were generated for different levels of severity: stable, impending relapse and full relapse.
resultsESM data showed that symptoms varied intensely from moment to moment. Network representations showed meaningful relations between symptoms, e.g. 'down' and 'paranoia' fuelling each other, and 'paranoia' negatively impacting 'relaxed'. During relapse, symptom levels as well as the level of clustering between symptoms markedly increased, indicating qualitative changes in the network. While 'hearing voices' was the most prominent symptom subjectively, the data suggested that a strategic focus on 'paranoia', as the most central symptom, had the potential to bring about changes affecting the whole network.
conclusionConstruction of intensive ESM time series in a single patient is feasible and informative, particularly if represented as a network, showing both quantitative and qualitative changes as a function of relapse.
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