DocumentCode
736508
Title
Granger causality analysis in the neural mass model
Author
Liang, Li ; Deng, Bin ; Wang, Jiang ; Wang, Ruofan ; Wei, Xile ; Yu, Haitao ; Qin, Yingmei ; Yang, Chen
Author_Institution
School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072
fYear
2015
fDate
28-30 July 2015
Firstpage
4641
Lastpage
4645
Abstract
The study of brain functional connectivity has become an important aspect of neuroscience. With the development of different methods to detect functional connectivity, the neural mass model based on physiology provides a basis for validating methods. As a popular method of discovering functional connectivity, Granger causality is applied to many fields of neurophysiology, but the mapping between Granger causality and coupling strength of neural mass model is unclear. To explore this relationship, we make a simulation to change the coupling strength of a double-column mass model, and calculate the corresponding Granger causality value. It is found that Granger causality and coupling strength has a relationship but nonlinear.
Keywords
Analytical models; Brain modeling; Couplings; Electroencephalography; Mathematical model; Sociology; Statistics; Granger causality; coupling strength; neural mass model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7260356
Filename
7260356
Link To Document