To demonstrate how seed-based analyses can be used to confirm layer-specific inter-area connections using resting-state fluctuations, we focus on the early visual system here. First, ROIs of the brain areas LGN, V1 and hMT+ were defined based on functional and structural localizers (see Fig. 4). Then, time series of the seed ROIs were extracted from all layers and orthogonalized to the time series of a corresponding control region (see Fig. 4). This means that the resulting time series solely contained temporal events that were unique to the seed of the ROI, without global temporal events (e.g. physiological noise). These time series were used as regressors in a conventional GLM analysis (FSL-FEAT (Smith et al. 2004)). The resulting activation and connectivity estimates were extracted as beta values and z-scores.
