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《Journal of Data Acquisition and Processing》 2015-01
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Machine-Learning-Based Brain Network Analysis:Method and Application

Zhang Daoqiang;Jie Biao;College of Computer Science and Engineering,Nanjing University of Aeronautics and Astronautics;School of Mathematics and Computer Science,Anhui Normal University;  
Brain network aims to study the interaction of brain functional regions as a whole system,which plays a very important role for the understanding of brain function and structure,as well as the diagnosis of some brain diseases.As an important tool to analyze brain networks,machine learning has become a new focus of research since,and it can obtain the rules via automatically analyzing data and apply these rules to predict the unknown data.This paper reviews the concepts,methods and applications of brain network analysis,and mainly discusses some related works based on machine learning techniques from the following three aspects,i.e.,construction of bran network,feature learning and classification and prediction.Finally,The conclution is drawed,and some new directions for future research is forecasted.
【Fund】: 国家自然科学基金(61422204 61473149)资助项目;; 江苏省杰出青年基金(BK20130034)资助项目;; 教育部博士点基金(20123218110009)资助项目;; 南京航空航天大学基本科研业务费(NE2013105)资助项目;; 安徽省自然科学基金(1508085MF125)资助项目;; 模式识别国家重点实验室开放课题(201407361)资助项目
【CateGory Index】: R338;TP181
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