Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm

作     者：Xia-an BI Yiming XIE Hao WU Luyun XU Xia-an BI;Yiming XIE;Hao WU;Luyun XU

作者机构：Hunan Provincial Key Laboratory of Intelligent Computing and Language Information ProcessingHunan Normal UniversityChangsha 410081China College of Information Science and EngineeringHunan Normal UniversityChangsha 410081China Business School of Hunan Normal UniversityChangsha 410081China 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2021年第15卷第6期

页      面：165-173页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by the Hunan Provincial Science and Technology Project Foundation(2018TP1018) the National Science Foundation of China(61502167) 

主　　题：machine learning MCI progression optimal feature extraction differential brain regions functional magnetic resonance imaging 

摘      要：Mild cognitive impairment(MCI)as the potential sign of serious cognitive decline could be divided into two stages,i.e.,late MCI(LMCI)and early MCI(EMCI).Although the different cognitive states in the MCI progression have been clinically defined,effective and accurate identification of differences in neuroimaging data between these stages still needs to be further *** this paper,a new method of clustering-evolutionary weighted support vector machine ensemble(CEWSVME)is presented to investigate the alterations from cognitively normal(CN)to EMCI to *** CEWSVME mainly includes two *** first step is to build multiple SVM classifiers by randomly selecting samples and *** second step is to introduce the idea of clustering evolution to eliminate inefficient and highly similar SVMs,thereby improving the final classification ***,we extracted the optimal features to detect the differential brain regions in MCI progression,and confirmed that these differential brain regions changed dynamically with the development of *** exactly,this study found that some brain regions only have durative effects on MCI progression,such as parahippocampal gyrus,posterior cingulate gyrus and amygdala,while the superior temporal gyrus and the middle temporal gyrus have periodic effects on the *** work contributes to understanding the pathogenesis of MCI and provide the guidance for its timely diagnosis.