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Structural Brain Connectivity Guided Optimal Contact Selection for Deep Brain Stimulation of the Subthalamic Nucleus

文献类型：期刊论文

作者Liu, Jiali1; Chen, Shouxuan1; Chen, Jianwei1; Wang, Bo1; Zhang, Qiusheng1; Xiao, Linxia2; Cai, Xiaodong1; Zhang, Doudou1
刊名WORLD NEUROSURGERY
出版日期2024-08-01
卷号188页码:E546-E554
关键词Convolutional neural network Optimal contact selection Parkinson disease Structural brain connectivity STN-DBS surgery Volumes of tissue activated
ISSN号1878-8750
DOI10.1016/j.wneu.2024.05.150
英文摘要- BACKGROUND: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective therapy in ameliorating the motor symptoms of Parkinson disease. However, postoperative optimal contact selection is crucial for achieving the best outcome of deep brain stimulation of the subthalamic nucleus surgery, but the process is currently a trial-and-error and time-consuming procedure that relies heavily on surgeons ' clinical experience.- METHODS: In this study, we propose a structural brain connectivity guided optimal contact selection method for deep brain stimulation of the subthalamic nucleus. Firstly, we reconstruct the DBS electrode location and estimate the stimulation range using volume of tissue activated from each DBS contact. Then, we extract the structural connectivity features by concatenating fractional anisotropy and the number of streamlines features of activated regions and the whole brain regions. Finally, we use a convolutional neural network with convolutional block attention module to identify the structural connectivity features for the optimal contact selection.- RESULTS: We review the data of 800 contacts from 100 patients with Parkinson disease for the experiment. The proposed method achieves promising results, with the average accuracy of 97.63%, average precision of 94.50%, average recall of 94.46%, and average specificity of 98.18%, respectively. Our method can provide the suggestion for optimal contact selection. - CONCLUSIONS: Our proposed method can improve the efficiency and accuracy of DBS optimal contact selection, reduce the dependence on surgeons' experience, and has the potential to facilitate the development of advanced DBS technology.
资助项目National Natural Science Foundation of China[62303442] ; Guangdong Basic, Applied Basic Research Foundation[2022A1515110996] ; China Postdoctoral Science Foundation[2023M733655] ; Shenzhen Fundamental Research Program[JCYJ20230807115203006] ; Shenzhen Fundamental Research Program[JCYJ20230807115301003] ; Shenzhen Fundamental Research Program[JCYJ20210324103014037]
WOS研究方向Neurosciences & Neurology ; Surgery
语种英语
WOS记录号WOS:001270829300001
出版者ELSEVIER SCIENCE INC
源URL[http://119.78.100.204/handle/2XEOYT63/39832]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Xiao, Linxia
作者单位1.Shenzhen Univ, Shenzhen Peoples Hosp 2, Dept Neurosurg, Shenzhen Key Lab Neurosurg,Affiliated Hosp 1, Shenzhen, Peoples R China
2.Chinese Acad Sci, Shenzhen Inst Adv Technol, Joint Engn Res Ctr Hlth Big Data Intelligent Anal, Ctr High Performance Comp, Shenzhen, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Jiali,Chen, Shouxuan,Chen, Jianwei,et al. Structural Brain Connectivity Guided Optimal Contact Selection for Deep Brain Stimulation of the Subthalamic Nucleus[J]. WORLD NEUROSURGERY,2024,188:E546-E554.
APA Liu, Jiali.,Chen, Shouxuan.,Chen, Jianwei.,Wang, Bo.,Zhang, Qiusheng.,...&Zhang, Doudou.(2024).Structural Brain Connectivity Guided Optimal Contact Selection for Deep Brain Stimulation of the Subthalamic Nucleus.WORLD NEUROSURGERY,188,E546-E554.
MLA Liu, Jiali,et al."Structural Brain Connectivity Guided Optimal Contact Selection for Deep Brain Stimulation of the Subthalamic Nucleus".WORLD NEUROSURGERY 188(2024):E546-E554.

入库方式： OAI收割

来源：计算技术研究所

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