Anticipating depression trajectories by measuring plasticity and change through symptom network dynamics
The interpretation of connectivity strength for predicting depression trajectories varies by timepoint: at baseline, it measures plasticity -- the capacity for change -- whereas during clinical change, it indicates the magnitude of change in symptom severity. This framework supports the reliability of this prognostic marker for designing personalized therapeutic interventions in psychiatry.
Authors
- Alessandro Giuliani (ORCID: https://orcid.org/0000-0002-4640-804X)
- Igor Branchi (ORCID: https://orcid.org/0000-0003-4484-3598)
- Aurelia Viglione (ORCID: https://orcid.org/0000-0002-9822-7048)
- Claudia Colli (ORCID: https://orcid.org/0000-0002-6674-0066)
Institutions
- Istituto Superiore di Sanità (IT)
- Netherlands Institute for Advanced Study in the Humanities and Social Sciences (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- European Psychiatry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1192/j.eurpsy.2025.10083
- Citations
- 1
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 2.12
Funders
- Universiteit van Amsterdam