Deep learning-based image reconstruction benefits diffusion tensor imaging for assessing severity of depression
DLR DTI demonstrated greater sensitivity in detecting white matter (WM) abnormalities in patients with severe depression and provided better diagnostic performance in evaluating severity of depression.
Authors
- Y. Zhang
- Jiu-zeng Dai (ORCID: https://orcid.org/0000-0002-6881-9819)
- Hongbiao Sun (ORCID: https://orcid.org/0000-0002-0060-431X)
- Shuwen Dong (ORCID: https://orcid.org/0000-0002-3374-5389)
- Shunying Liu (ORCID: https://orcid.org/0000-0002-3894-757X)
- Yonghai Bai (ORCID: https://orcid.org/0000-0001-5818-7216)
- Wei-min Yuan
- Xintong Zhang (ORCID: https://orcid.org/0000-0003-0561-8902)
- Yihao Wang (ORCID: https://orcid.org/0009-0002-7669-1285)
- Yuanyuan Cui (ORCID: https://orcid.org/0000-0003-3782-1315)
- Yi Xiao (ORCID: https://orcid.org/0000-0001-6758-3763)
- Yuxin Cheng (ORCID: https://orcid.org/0000-0002-6494-0101)
- Yunmeng Wang
- Jinlin Wang (ORCID: https://orcid.org/0000-0003-0525-6649)
Institutions
- Shanghai Changzheng Hospital (CN)
- People's Liberation Army 401 Hospital (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-08-12
- DOI
- https://doi.org/10.3389/fnins.2025.1607130
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Health Commission of the People's Republic of China