Machine learning combined with fMRI identifies dynamic brain network alterations in post-stroke depression: A dual-center cross-sectional study
- DOI
- 10.1016/j.jad.2026.122395
- Published
- 2026-12
- Container
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jad.2026.122395,
title = {Machine learning combined with fMRI identifies dynamic brain network alterations in post-stroke depression: A dual-center cross-sectional study},
author = {Lixun Hu and Zhiying Guo and Mingyu Zhao and You Wang and Fang Sun and Wenbin Tan and Feng Tian},
year = {2026},
journal = {Journal of Affective Disorders},
doi = {10.1016/j.jad.2026.122395},
url = {https://doi.org/10.1016/j.jad.2026.122395}
}RIS
TY - JOUR TI - Machine learning combined with fMRI identifies dynamic brain network alterations in post-stroke depression: A dual-center cross-sectional study AU - Lixun Hu AU - Zhiying Guo AU - Mingyu Zhao AU - You Wang AU - Fang Sun AU - Wenbin Tan AU - Feng Tian PY - 2026 JO - Journal of Affective Disorders DO - 10.1016/j.jad.2026.122395 UR - https://doi.org/10.1016/j.jad.2026.122395 ER -
APA
Hu, L., Guo, Z., Zhao, M., Wang, Y., Sun, F., Tan, W., & Tian, F. (2026). Machine learning combined with fMRI identifies dynamic brain network alterations in post-stroke depression: A dual-center cross-sectional study. Journal of Affective Disorders. https://doi.org/10.1016/j.jad.2026.122395
Source records
- crossref · retrieved 2026-09-25T14:15:36.564Z