Integrated MEG/EEG and fMRI model based on neural masses

被引：46

作者：

Babajani, Abbas

Soltanian-Zadeh, Hamid ^{[1
]}

机构：

[1] Univ Tehran, Elect & Comp Engn Dept, Control & Intelligent Proc Ctr Excellence, Tehran 14395, Iran

[2] Henry Ford Hlth Syst, Radiol Image Anal Lab, Detroit, MI 48202 USA

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2006年 / 53卷 / 09期

关键词：

EEG; fMRI; integrated model; MEG; neural mass;

D O I：

10.1109/TBME.2006.873748

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We introduce a bottom-up model for integrating electroencephalography (EEG) or magnetoencephalography (MEG) with functional magnetic resonance imaging (fMRI). An extended neural mass model is proposed based on the physiological principles of cortical minicolumns and their connections. The fMRI signal is extracted from the proposed neural mass-model by introducing a relationship between the stimulus and the neural activity and, using the resultant neural activity as input of the extended Balloon model. The proposed model, validated using simulations, is instrumental in evaluating the upcoming combined methods for simultaneous analysis of MEG/EEG and fMRI.

引用

页码：1794 / 1801

页数：8

共 29 条

[1] The neural basis of functional brain imaging signals [J].