ArticlePloS one2021
The exploratory value of cross-sectional partial correlation networks: Predicting relationships between change trajectories in borderline personality disorder.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Longitudinal Network Analysis Reveals Interactive Change of Schizophrenia Symptoms During Acute Antipsychotic Treatment.Schizophrenia bulletin · 2023Trial
- Psychological Network of Stress, Coping and Social Support in an Aboriginal Population.International journal of environmental research and public health · 2022Trial
- Which EDE-Q items are structurally relevant in borderline personality disorder? An exploratory graph analysis.Borderline personality disorder and emotion dysregulation · 2026Article
- A Network Approach to the Association Between Emotional Regulation and ADHD Symptoms in Adults: Pathways between Difficulties in Emotional Regulation and ADHD Dimensions.The Psychiatric quarterly · 2026Article
- The panic-sadness bridge: a longitudinal study using undirected and directed network analyses of COVID-19-related anxiety and depression.BMC psychiatry · 2025Article
- Depression and Anxiety among Migrant Older Adults during the COVID-19 Pandemic in China: Network Analysis of Continuous Cross-Sectional Data.Healthcare (Basel, Switzerland) · 2024Article
- Developing a transdiagnostic Ecological Momentary Assessment protocol for psychopathology.International journal of methods in psychiatric research · 2024Article
- Clarifying directional dependence among measures of early auditory processing and cognition in schizophrenia: leveraging Gaussian graphical models and Bayesian networks.Psychological medicine · 2024Article
- Bridging Perspectives: Exploring the Convergence of Clinimetrics and Network Theory in Mental Health Assessment and Conceptualization.Journal of clinical medicine · 2024Review
- The Symptom Structure and Causal Relationships of Comorbid Anxiety and Depression Among Chinese Primary and Middle School Teachers: A Network Analysis.Psychology research and behavior management · 2024Article
- Existential concerns in psychopathology: a transdiagnostic network analysisCogent mental health · 2024Article
- Impact and centrality of attention dysregulation on cognition, anxiety, and low mood in adolescents.Scientific reports · 2023Article
- Article
- On the interplay of borderline personality features, childhood trauma severity, attachment types, and social support.Borderline personality disorder and emotion dysregulation · 2022Article
- Article
- Depressive and anxiety symptoms in patients with COPD: A network analysis.Respiratory medicine · 2022Article
- A network approach can improve eating disorder conceptualization and treatment.Nature reviews psychology · 2022Article
- Comparing PTSD symptom networks in type I vs. type II trauma survivors.European journal of psychotraumatology · 2022Article
- Depression and PTSD in the aftermath of strict COVID-19 lockdowns: a cross-sectional and longitudinal network analysis.European journal of psychotraumatology · 2022Article
- Connecting the Dots: Exploring Psychological Network Analysis as a Tool for Analyzing Organizational Survey Data.Frontiers in psychology · 2022Article
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Authors and funding
3 authors.
Funding
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Abstract
objectiveWithin the network approach to psychopathology, cross-sectional partial correlation networks have frequently been used to estimate relationships between symptoms. The resulting relationships have been used to generate hypotheses about causal links between symptoms. In order to justify such exploratory use of partial correlation networks, one needs to assume that the between-subjects relationships in the network approximate systematic within-subjects relationships, which are in turn the results of some within-subjects causal mechanism. If this assumption holds, relationships in the network should be mirrored by relationships between symptom changes; if links in networks approximate systematic within-subject relationships, change in a symptom should relate to change in connected symptoms.
methodTo investigate this implication, we combined longitudinal data on the Borderline Personality Disorder Severity Index from four samples of borderline personality disorder patients (N = 683). We related parameters from baseline partial correlation networks of symptoms to relationships between change trajectories of these symptoms.
resultsAcross multiple levels of analysis, our results showed that parameters from baseline partial correlation networks are strongly predictive of relationships between change trajectories.
conclusionsBy confirming its implication, our results support the idea that cross-sectional partial correlation networks hold a relevant amount of information about systematic within-subjects relationships and thereby have exploratory value to generate hypotheses about the causal dynamics between symptoms.
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