Unveiling the dynamic effects of major depressive disorder and its rTMS interventions through energy landscape analysis
Our results shed light on the intrinsic dysfunction mechanisms of MDD from a dynamic standpoint and highlight the effects of rTMS intervention. The identified alterations in brain network dynamics provide promising analytical markers for the diagnosis and treatment of MDD. Future studies should further explore the clinical applications of these markers and the comprehensive dynamical effects of rTMS intervention.
Authors
- Chun-Wang Su (ORCID: https://orcid.org/0000-0003-1788-3607)
- Yuee Tang (ORCID: https://orcid.org/0000-0001-9250-2152)
- Nailong Tang (ORCID: https://orcid.org/0000-0003-3916-5331)
- Huaning Wang (ORCID: https://orcid.org/0000-0003-1981-4293)
- Shun Qi
- Nian Liu (ORCID: https://orcid.org/0000-0001-9079-7444)
- Jingwen Li (ORCID: https://orcid.org/0000-0002-6383-2790)
- Zi-Gang Huang
Institutions
- 81th Hospital of PLA (CN)
- Xi'an Jiaotong University (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-03-05
- DOI
- https://doi.org/10.3389/fnins.2025.1444999
- Citations
- 2
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.86