The current density maps for the ERP data were created using LORETA. LORETA is a functional imaging method based on certain electrophysiological and neuroanatomical constraints as described by Pascual-Marqui et al. [38, 39]. The cortex has been modeled as a collection of volume elements (voxels) in the digitized Talairach atlas provided by the Brain Imaging Center, Montreal Neurological Institute. LORETA algorithm solves the inverse problem by assuming related orientations and strengths of neighboring neuronal sources (represented by adjacent voxels). The technical details of LORETA are given at http://www.unizh.ch/keyinst/NewLORETA/LORETA01.htm. The LORETA has been widely used as an efficient tool for functional mapping, since it is consistent with physiology and localization [38-40]. In the present study, the current density maps (in amperes per square meter, A/m2) were created for the grand mean data of each gender separately. The time frame of LORETA images for each condition was selected based on the peak (current density) activity in ORN and ORP components. Statistical analyses involved a voxel-wise Statistical non-Parametric Mapping (SnPM) in order to determine significant regional statistical differences in current density between two
