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Integrated MEG/EEG and fMRI model based on neural masses
2006
IEEE Transactions on Biomedical Engineering
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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
doi:10.1109/tbme.2006.873748
pmid:16941835
fatcat:ygqgrmlzcjbhfgsnoj6i6lppe4