TY - JOUR
T1 - Big data analysis of the human brain’s functional interactions based on fMRI
AU - Wu, Xia
AU - Xu, Lele
AU - Yao, Li
N1 - Publisher Copyright:
© 2014, Science China Press and Springer-Verlag Berlin Heidelberg.
PY - 2014/12
Y1 - 2014/12
N2 - 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.
AB - 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.
KW - Big data
KW - Functional magnetic resonance imaging (fMRI)
KW - Human brain
KW - Neural interaction
KW - Neural representation
UR - https://www.scopus.com/pages/publications/85027956860
U2 - 10.1007/s11434-014-0573-2
DO - 10.1007/s11434-014-0573-2
M3 - Article
AN - SCOPUS:85027956860
SN - 1001-6538
VL - 59
SP - 5059
EP - 5065
JO - Chinese Science Bulletin
JF - Chinese Science Bulletin
IS - 35
ER -