Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson’s disease
Abstract Deep brain stimulation (DBS) is widely used to treat Parkinson’s disease (PD), but its efficacy varies. This study aimed to investigate how preoperative structural network influences subthalamic nucleus deep brain stimulation (STN-DBS) outcome in Parkinson’s disease (PD). This study retrosp...
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-15326-9 |
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| author | Xiaoyue Wang Chunyao Zhou Fangfang Xie Xuyang Wang Xiaoyu Chen Junmei Zhang Haofei Wang Rong Li Xinghui He Zhuanyi Yang Dingyang Liu Zhiquan Yang |
| author_facet | Xiaoyue Wang Chunyao Zhou Fangfang Xie Xuyang Wang Xiaoyu Chen Junmei Zhang Haofei Wang Rong Li Xinghui He Zhuanyi Yang Dingyang Liu Zhiquan Yang |
| author_sort | Xiaoyue Wang |
| collection | DOAJ |
| description | Abstract Deep brain stimulation (DBS) is widely used to treat Parkinson’s disease (PD), but its efficacy varies. This study aimed to investigate how preoperative structural network influences subthalamic nucleus deep brain stimulation (STN-DBS) outcome in Parkinson’s disease (PD). This study retrospectively collected 93 patients, and divided them into a low improvement group (LIG) and a high improvement group (HIG). Preoperative structural networks were constructed from diffusion tensor images using probability constrained spherical deconvolution algorithm. This study compared topological characteristics between groups and explored the prognostic value of structural networks. Compared to HIG, LIG has a longer normalized characteristic path length and diminished inter-regional connections within left frontal lobe. Normalized characteristic path length is negatively correlated with DBS outcome, while connection strength is positively correlated with DBS outcome. Notably, the fusion method of clinical phenotype and network characteristics has better predictive power for postoperative DBS outcome than either the clinical method or the network method. This study reveals that both normalized characteristic path length and connectivity between the left superior frontal gyrus (central region) and the left medial frontal gyrus (ventral lateral region) are associated with initial DBS efficacy, which could be preoperative biomarkers of DBS outcome. |
| format | Article |
| id | doaj-art-34ffafa8c9d14bfbb1a930d72b00a459 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-34ffafa8c9d14bfbb1a930d72b00a4592025-08-20T03:05:23ZengNature PortfolioScientific Reports2045-23222025-08-0115111210.1038/s41598-025-15326-9Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson’s diseaseXiaoyue Wang0Chunyao Zhou1Fangfang Xie2Xuyang Wang3Xiaoyu Chen4Junmei Zhang5Haofei Wang6Rong Li7Xinghui He8Zhuanyi Yang9Dingyang Liu10Zhiquan Yang11Department of Neurosurgery, Xiangya Hospital, Central South UniversityDepartment of Neurosurgery, Xiangya Hospital, Central South UniversityDepartment of Radiology, Xiangya Hospital, Central South UniversitySchool of Life Science and Technology, University of Electronic Science and Technology of ChinaDepartment of Neurosurgery, Xiangya Hospital, Central South UniversityDepartment of Neurosurgery, Xiangya Hospital, Central South UniversitySchool of Life Science and Technology, University of Electronic Science and Technology of ChinaSchool of Life Science and Technology, University of Electronic Science and Technology of ChinaDepartment of Neurosurgery, Xiangya Hospital, Central South UniversityDepartment of Neurosurgery, Xiangya Hospital, Central South UniversityDepartment of Neurosurgery, Xiangya Hospital, Central South UniversityDepartment of Neurosurgery, Xiangya Hospital, Central South UniversityAbstract Deep brain stimulation (DBS) is widely used to treat Parkinson’s disease (PD), but its efficacy varies. This study aimed to investigate how preoperative structural network influences subthalamic nucleus deep brain stimulation (STN-DBS) outcome in Parkinson’s disease (PD). This study retrospectively collected 93 patients, and divided them into a low improvement group (LIG) and a high improvement group (HIG). Preoperative structural networks were constructed from diffusion tensor images using probability constrained spherical deconvolution algorithm. This study compared topological characteristics between groups and explored the prognostic value of structural networks. Compared to HIG, LIG has a longer normalized characteristic path length and diminished inter-regional connections within left frontal lobe. Normalized characteristic path length is negatively correlated with DBS outcome, while connection strength is positively correlated with DBS outcome. Notably, the fusion method of clinical phenotype and network characteristics has better predictive power for postoperative DBS outcome than either the clinical method or the network method. This study reveals that both normalized characteristic path length and connectivity between the left superior frontal gyrus (central region) and the left medial frontal gyrus (ventral lateral region) are associated with initial DBS efficacy, which could be preoperative biomarkers of DBS outcome.https://doi.org/10.1038/s41598-025-15326-9Parkinson’s diseaseDeep brain stimulationDTIBrain network |
| spellingShingle | Xiaoyue Wang Chunyao Zhou Fangfang Xie Xuyang Wang Xiaoyu Chen Junmei Zhang Haofei Wang Rong Li Xinghui He Zhuanyi Yang Dingyang Liu Zhiquan Yang Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson’s disease Scientific Reports Parkinson’s disease Deep brain stimulation DTI Brain network |
| title | Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson’s disease |
| title_full | Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson’s disease |
| title_fullStr | Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson’s disease |
| title_full_unstemmed | Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson’s disease |
| title_short | Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson’s disease |
| title_sort | preoperative structural networks based on dti predicts initial subthalamic nucleus stimulation outcome in parkinson s disease |
| topic | Parkinson’s disease Deep brain stimulation DTI Brain network |
| url | https://doi.org/10.1038/s41598-025-15326-9 |
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