Dynamic Brain Network Biomarkers for Depression Prediction: A Multi-Cohort Analysis of Global Neuroimaging Databases
Dynamic brain network biomarkers represent a promising advance toward predictive, personalized psychiatry, pending external validation. These findings provide a neurobiological foundation for early intervention strategies and suggest novel therapeutic targets for depression prevention. The consistency across diverse global populations indicates potential universality of these mechanisms, supporting further clinical translation efforts.
Authors
- Yangyao Peng (ORCID: https://orcid.org/0000-0002-7973-3674)
- Yuting Zhan (ORCID: https://orcid.org/0009-0006-8372-542X)
- Qing Zhang
Institutions
- Ningxia University (CN)
- Wuhan University (CN)
- Zhongnan Hospital of Wuhan University (CN)
Publication Details
- Journal
- Psychology Research and Behavior Management
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2147/prbm.s552134
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wuhan University
- Zhongnan Hospital of Wuhan University