ArticlePsychological medicine2025
Mapping connections between complex post-traumatic stress disorder and psychotic-like experiences among adolescents: a Gaussian and Bayesian network study.
Article in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Disentangling Anhedonia and Self-Stigma in Schizophrenia Using Bayesian Network Analysis.Alpha psychiatry · 2026Article
- Psychotherapy for complex post-traumatic stress disorder: efficacy and therapeutic factors.Frontiers in psychology · 2026Review
- Mood and Metabolism: A Bayesian Network Analysis of Depressive Symptoms in Major Depressive Disorder and Metabolic Syndrome.Journal of personalized medicine · 2025Article
- Evaluation of a brief online multi-index assessment for predicting increased psychotic-like experiences in the community: A perceptual, cognitive and affective approach.Schizophrenia research. Cognition · 2025Article
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10 authors.
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Abstract
backgroundComplex post-traumatic stress disorder (cPTSD) is a newly recognized condition characterized by core PTSD symptoms and disturbances in self-organization (DSO) that has been associated with psychotic-like experiences (PLEs). This study employs two psychopathology network approaches to identify which post-traumatic symptoms are related to PLEs in a sample of late adolescents. We propose that cPTSD symptoms play a crucial role in explaining the co-occurrence of trauma and PLEs.
methodsA sample of 1010 late adolescents provided measures of post-traumatic symptomatology and PLEs. We estimated the Gaussian graphical network structure of PTSD/cPTSD symptoms and PLEs and assessed their bridge centrality indices. Bayesian network analysis was then used to estimate a directed acyclic graph (DAG). Gender was set as a moderator in both Gaussian and Bayesian models.
resultsResults show that affect dysregulation, a cPTSD domain, presented the highest bridge connection with the PLE cluster. Bayesian network analysis identified a pathway going from cPTSD items of worthlessness and relational dysregulation, to PLE items of paranoia and social anxiety. Additionally, we found relevant gender differences in network connectivity, with females showing higher connectivity compared to males.
conclusionsOur findings highlight the central role of affect dysregulation and negative self-concept in linking cPTSD to PLE symptoms, with specific differences according to gender. These insights underscore the need for targeted, gender-sensitive approaches in the prevention and treatment of PLEs among adolescents, emphasizing early intervention and tailored treatment strategies.
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