Using Real MEG and fMRI Data for Parameter Estimation of the Integrated Model

An integrated model for magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) is proposed. In the model, the neural activity is related to the post synaptic potential (PSP) which is the common link between MEG and fMRI. Each PSP is modeled by the direction and strength of its current flow which are treated as random variables. The overall neural activity in each voxel is used for equivalent current dipole in MEG and as input of the extended Balloon model in fMRI. The parameters of the proposed integrated model are estimated using real data. Goodness of fit of real data by our model suggests that the proposed model is capable of generating realistic simulated data.

کلیدواژه ها:

MEG ، fMRI ، Integrated Model ، Real Data