Cognitive event-related measurements of the human brain are performed by measuring electrical signals and electro- magnetic fields (electroencephalography, EEG, and magnetoen- cephalography, MEG) and hemodynamic responses (measured by fMRI and PET). The EEG and MEG reflect synchro- nized electrical activity of neurons, and then show the same timescale as neurocognitive processes. The fMRI is related to the power consumption of groups of neurons and registers a signal on a timescale of several seconds. Unlike fMRI, MEG and EEG are not imaging methods. It is our opinion that the combination of MEG or EEG with the fMRI therefore would be very useful to reach a high resolution, both in time and space, of brain functions. It is not assured however that all measured events during an EEG acquisition and cogni- tive process-related produce measurable changes of the BOLD signal – and vice versa. In this paper, a new strategy of combining signals (electric and hemodynamic responses) simultaneously acquired from different clinical methodologies is performed and tested in order to produce more reliable information about brain activity. Two different algorithms are explored and compared via repeatability standard deviation estimations of fMRI images.
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