Relationships between network analysis and psychodynamic theories: A scoping review

INTRODUCTION: Network analysis shifts psychopathology research from latent variables to symptom interactions. While mainly cognitive-behavioral, its convergence with psychodynamic theories remains underexplored. This review maps empirical studies combining psychodynamic constructs and network models. METHODS: Following JBI and PRISMA-ScR guidelines, databases (2008-2025) were searched for studies linking both approaches. RESULTS: Fifteen studies (N = 13,771 participants) identified three recurrent psychodynamic domains: personality organization, mentalization, and attachment; as central or bridge nodes within networks (mostly graphical Gaussian models). CONCLUSIONS: This tri-axial architecture supports the central role of psychodynamic concepts within psychopathology. Network analysis appears promising for operationalizing selected psychodynamic constructs and for examining their position within broader psychopathological systems, although its capacity to capture psychodynamic processes remains limited in cross-sectional designs.