To reduce the dimensionality of the 128 channel scalp data in a principled way, we derived a set of five electrode regions of interest (ROIs) from independent data. These ROIs were based on an atlas of scalp topographies generated from a group of 20 participants who underwent fMRI mapping of a set of retinotopic (V1, V2, V3, V3A, and V4) and functionally defined (hMT+ and lateral occipital) visual areas. For each visual area, an elementary, current dipole of unit amplitude was placed at each 3D vertex in the cortical surface for each participant. The lead-field matrix for each individual was used to create a map of the expected electrical potential on the sensor array for that visual area. These maps were then averaged across individuals to create a group topography for each visual area (for details of the procedure, see Ales, Yates, & Norcia,
2010). The five-electrode ROIs were selected as being representative of activity from early visual cortex (occipital pole [OP]; EGI sensor 75/Oz), area V3A (dorsal occipital [DO]; EGI sensors 60, 67, 77, 85), and area hMT+ (temporal occipital [TO], EGI sensors 51, 97). The hMT+ ROI was derived from a moving versus stationary, low contrast random dot motion localizer (Appelbaum, Wade, Vildavski, Pettet, & Norcia,
2006). A lateral occipital ROI (LO; EGI sensors 58, 65, 90, 96) was derived from an intact versus scrambled object fMRI localizer (Appelbaum et al.,
2006; Kourtzi & Kanwisher,
2000). Because previous work with higher-order motion stimuli has shown parietal activations (Claeys, Lindsey, De Schutter, & Orban,
2003; Orban et al.,
2003), a posterior parietal cortex ROI located anterior to the DO ROI (PAR; EGI sensors 31, 37, 53, 54, 55, 60, 61, 62, 67, 72, 77, 78, 79, 80, 85, 86, 87) was defined.