Skip to main navigation Skip to search Skip to main content

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

  • Xia Wu
  • , Lele Xu
  • , Li Yao*
  • *Corresponding author for this work
  • Beijing Normal University

Research output: Contribution to journalArticlepeer-review

Abstract

The human brain is a huge, complex system generating brain activity. The exploration of human brain function using functional magnetic resonance imaging (fMRI) is a promising method to understand brain activity. However, the complexity of the big data generated by fMRI 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.

Original languageEnglish
Pages (from-to)5059-5065
Number of pages7
JournalChinese Science Bulletin
Volume59
Issue number35
DOIs
Publication statusPublished - Dec 2014
Externally publishedYes

Keywords

  • Big data
  • Functional magnetic resonance imaging (fMRI)
  • Human brain
  • Neural interaction
  • Neural representation

Fingerprint

Dive into the research topics of 'Big data analysis of the human brain’s functional interactions based on fMRI'. Together they form a unique fingerprint.

Cite this