Stratifying trigeminal neuralgia and characterizing an abnormal property of brain functional organization: a resting-state fMRI and machine learning study
This study revealed alterations in rs-fMRI metrics in TN patients compared to those in controls and is the first to show differences between CTN and ITN. The support vector machine model of rs-fMRI indices exhibited moderate performance on discriminating TN patients from controls. These findings have unveiled potential biomarkers for TN and its subtypes, which can be used for additional investigation of the pathophysiology of the disease.
Authors
- Y. J. Chen (ORCID: https://orcid.org/0009-0008-6036-2616)
- Min Wu (ORCID: https://orcid.org/0000-0001-6981-9354)
- Xiaofeng Jiang (ORCID: https://orcid.org/0000-0002-1676-7383)
- Jun Qiu (ORCID: https://orcid.org/0000-0002-3443-3387)
Institutions
- University of Science and Technology of China (CN)
Publication Details
- Journal
- Journal of neurosurgery
- Published
- 2025-03-29
- DOI
- https://doi.org/10.3171/2024.11.jns241935
- Citations
- 4
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 5.72