Depression links to unstable resting-state brain dynamics: insights from hidden markov models and functional network variability
Our findings reveal that individuals with higher depression levels exhibit greater instability in brain state transitions and increased temporal variability in functional connectivity across large-scale networks. This instability in brain dynamics may contribute to difficulties in emotion regulation and cognitive control. By capturing whole-brain temporal patterns, this study offers a novel perspective on the neural basis of depression.
Authors
- Hui Jia
- Qiuyang Feng (ORCID: https://orcid.org/0009-0002-9228-0208)
- Jiang Hua Qiu (ORCID: https://orcid.org/0000-0003-0269-5910)
- Yu Li (ORCID: https://orcid.org/0000-0003-3758-5893)
- Xueyang Wang
- Shuang Tang (ORCID: https://orcid.org/0000-0003-2186-7503)
- Geng Li (ORCID: https://orcid.org/0000-0002-7342-4539)
- Jiangzhou Sun (ORCID: https://orcid.org/0000-0003-1433-4047)
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Southwest University (CN)
- Sichuan International Studies University (CN)
Publication Details
- Journal
- Psychological Medicine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/s0033291725101001
- Citations
- 5
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 7.16
Funders
- Chongqing University
- Chongqing University of Education
- National Office for Philosophy and Social Sciences
- Major Research Plan
- National Social Science Fund of China