南京大学学报（自然科学版）2024，Vol.60Issue(5)：793-803,11.DOI:10.13232/j.cnki.jnju.2024.05.010
融合先验知识的连边功能连接震后PTSD分类方法
Post-earthquake PTSD classification method based on prior knowledge and edge-centric functional connectivity
摘要
Abstract
It is of great clinical significance to extract the specific neuroimaging features of patients diagnosed with seismic post-traumatic stress disorder(PTSD)and design its categorical model.Compared with the traditional neuroimaging classification model,this study used prior knowledge to extract ROIs to reduce a large number of noisy signals.Meanwhile,the research also changed the functional connection mode and proposed a classification model named RFE-MLP,which effectively improved the classification accuracy of post-earthquake PTSD and post-earthquake non-PTSD control groups.Firstly,in view of a large number of noisy signals in the whole brain,the PTSD-related brain regions were extracted by using prior knowledge,focusing on the feature construction of PTSD-related brain regions after the earthquake.Secondly,the traditional node function connection was replaced by the edge-centric function connection to obtain the high-order feature information of the brain function connection.Finally,the RFE-MLP classification model was proposed,which learned the model weight information adaptively and improved the accuracy of PTSD after earthquake.The results showed that the classification accuracy(ACC),sensitivity(SEN),specificity(SPE)and area under curve(AUC)values of post-earthquake PTSD patients and post-earthquake health control groups reached 92.5％,93.5％,92.1％and 94.8％,and it was found that the left middle frontal gyrus(Frontal_Mid-L)had the highest correlation with post-earthquake PTSD severity.The experimental results show that this method extracts more key feature information from fMRI,improves the accuracy of classification and diagnosis of PTSD after earthquake,and facilitates the precise localization of brain regions related to PTSD after earthquake and other trauma types.关键词
PTSD/连边功能连接/RFE-MLP/rs-fMRIKey words
PTSD/edge-centric functional connectivity/RFE-MLP/rs-fMRI分类
信息技术与安全科学引用本文复制引用
罗昌宇,张俊然,莫贤,朱鸿儒,孙昂,伍雅嘉..融合先验知识的连边功能连接震后PTSD分类方法[J].南京大学学报（自然科学版）,2024,60(5):793-803,11.基金项目
国家自然科学基金"数学与医疗健康交叉"重点专项(12126606)及联合项目琶洲实验室(黄埔)研发项目(2023K0605),四川大学"医学+信息"中心融合创新项目(YGJC012),四川省科技计划(23ZDYF2913),德阳科技(揭榜)项目(2021JB-JZ007),四川大学华西医院临床研究创新项目(2019HXCX03),智能电网四川省重点实验室应急重点项目(020IEPG-KL-20YJ01) （12126606）
