In silico study of the effects of cerebral circulation on source localization using a dynamical anatomical atlas of the human head.

Localization of the brain activity via EEG constitutes an ill-posed inverse problem, where any modeling uncertainty, e.g., a slight amount of noise in the data or material parameter discrepancies, can lead to a significant deviation of the estimated activity, especially in the deep structures of the brain. Proper modeling of the conductivity distribution is necessary in order to obtain an appropriate source localization. In this study, we show that the conductivity of the deep brain structures is particularly impacted by blood flow-induced changes in conductivity because large arteries and veins access the brain through that region.