Effect of model complexity on EEG source localizations

How model complexity influences the EEG source localizations was studied with three different finite element models of the head, constructed from segmented MR images of an adult male subject. The complexity of the models varied from 9 to 11 tissue types. The lead fields due to dipolar sources in the motor cortex were computed for all three models. The inverse source localizations were performed with an exhaustive search pattern in the motor cortex area. A set of 100 trial inverse runs was made. It was found that the model with most complexity performed best in localizing the sources in the motor cortex area of the brain.