Big data analysis of the human brain's functional interactions based on fMRI

作     者：Xia Wu Lele Xu Li Yao 

作者机构：State Key Laboratory of Cognitive Neuroscience and Learning & IDG/Mc Govern Institute for Brain ResearchBeijing Normal University College of Information Science and TechnologyBeijing Normal University Center for Collaboration and Innovation in Brain and Learning SciencesBeijing Normal University 

出 版 物：《Chinese Science Bulletin》 (科学通报(英文版))

年 卷 期：2014年第59卷第35期

页      面：5059-5065页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 071006[理学-神经生物学] 

基　　金：supported by the Key Program of the National Natural Science Foundation of China(91320201) the Funds for International Cooperation and Exchange of the NationalNatural Science Foundation of China(61210001) the Excellent Young Scientist Program of China(61222113) the Program for New Century Excellent Talents in University(NCET-12-0056) 

主　　题：数据分析方法 相互作用 fMRI 功能性磁共振成像 大脑活动 计算机科学 人类大脑 基础 

摘      要：The human brain is a huge,complex system generating brain *** exploration of human brain function using functional magnetic resonance imaging(f MRI) is a promising method to understand brain ***,the complexity of the big data generated by f MRI facilitates the analysis of various levels of human brain activity,such as the distribution of neural representations,the interaction between different regions,and the dynamic interaction over *** different levels can depict distinct prospects of the human brain activity,and considerable progress has been *** the future,more big data analysis methods combining advances in computer science,including larger-scale computing,machine learning,and graph theory,will promote the understanding of the human brain.