Static and temporal dynamic changes in brain activity in patients with post-stroke balance dysfunction: a pilot resting state fMRI
In conclusion, this study provided evidence of functional abnormalities in local brain regions in patients with post-stroke balance dysfunction. The results suggested that the abnormal brain regions were mainly related to visual processing, motor execution, motor coordination, sensorimotor control and cognitive function, which contributed to our understanding of the neuropathological mechanisms of post-stroke balance dysfunction. XGBoost is a promising machine learning method to explore these changes.
Authors
- Junzi Long (ORCID: https://orcid.org/0000-0001-5620-7471)
- Xiaonian Zhang (ORCID: https://orcid.org/0000-0003-4030-0131)
- Weijing Ren
- Kaiyue Han (ORCID: https://orcid.org/0009-0009-1090-199X)
- Zhiqing Tang (ORCID: https://orcid.org/0000-0002-9375-4818)
- Haitao Lu (ORCID: https://orcid.org/0000-0002-1775-9780)
- Ying Liu (ORCID: https://orcid.org/0000-0002-1230-6395)
- Hui Li (ORCID: https://orcid.org/0000-0002-4404-8845)
- Hao Zhang
- Tianhao Liu (ORCID: https://orcid.org/0000-0002-7350-3480)
- Xingxing Liao (ORCID: https://orcid.org/0009-0003-7634-917X)
Institutions
- Shandong University (CN)
- Capital Medical University (CN)
- China Rehabilitation Research Center (CN)
- Shandong Provincial Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-03-20
- DOI
- https://doi.org/10.3389/fnins.2025.1558069
- Citations
- 3
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 3.08