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

被引：0

作者：

Xia Wu ^{[1
,2
,3
]}

Lele Xu ^{[2
]}

Li Yao ^{[1
,2
,3
]}

机构：

[1] State Key Laboratory of Cognitive Neuroscience and Learning & IDG/Mc Govern Institute for Brain Research,Beijing Normal University

[2] College of Information Science and Technology,Beijing Normal University

[3] Center for Collaboration and Innovation in Brain and Learning Sciences,Beijing Normal University

来源：

Science Bulletin | 2014年 / 59卷 / 35期

基金：

中国国家自然科学基金;

关键词：

Human brain; Functional magnetic resonance imaging(f MRI); Big data; Neural representation; Neural interaction;

D O I：

暂无

中图分类号：

R338 [神经生理学];

学科分类号：

0710 ; 071006 ;

摘要：

The human brain is a huge,complex system generating brain activity.The exploration of human brain function using functional magnetic resonance imaging(f MRI) is a promising method to understand brain activity.However,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 time.These different levels can depict distinct prospects of the human brain activity,and considerable progress has been achieved.In 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.

引用

页码：5059 / 5065

页数：7

共 32 条

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