EEG inverse problem solution using a selection procedure on a high number of electrodes with minimal influence of conductivity

The uncertain conductivity value of brain tissue influences the accuracy of the EEG inverse problem solution. When using traditional least-squares minimization methods, the number of electrodes that is used as input in the EEG inverse problem has not an influence on the resolution. However, when including a selection procedure on a high number of electrodes, the localization error is decreased. The implemented procedure selects electrodes where their potential values are not greatly influenced by the uncertain conductivity value due to their physical location relatively to the source location. This paper shows that when using a high number of electrodes, the accuracy of the EEG inverse problem is increased.