سال انتشار: ۱۳۸۴

محل انتشار: یازدهمین کنفرانس سالانه انجمن کامپیوتر ایران

تعداد صفحات: ۴

نویسنده(ها):

Abbas Babajan – Control and Intelligent Processing Center of Excellence, Electrical and Computer Engineering Department University of Tehran, Tehran 14395-515, Iran
ohammad-Hosein Nekooei –
Hamid Soltanian-Zadeh –

چکیده:

In this paper, we introduce a model for integrating EEG or MEG with fMRI. The integrated model is based on neural mass model. An extended neural mass model is proposed which is inspired from physiological principles of cortical minicolumns and their connections. The M/EEG signal is directly extracted from the proposed extended neural mass model. The fMRI signal is extracted from this model by introducing a relationship between the stimulus and the neural activity and using the resultant neural activity as input to the extended Balloon model. The proposed model is instrumental in evaluating the upcoming combined methods for simultaneous analysis of MEG, EEG and fMRI