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. Author manuscript; available in PMC: 2013 May 1.
Published in final edited form as: Neuroimage. 2012 Feb 22;60(4):2247–2257. doi: 10.1016/j.neuroimage.2012.02.030

Figure 1.

Figure 1

Schematic of within-subject jICA across task levels. The EEG data is first concatenated across time points, electrodes and conditions. In the case of the fMRI, voxels are concatenated across conditions. EEG and fMRI datasets are concatenated into a single joint data matrix. PCA is applied as a pre-processing step to whiten the data and jICA was applied to the whitened joint data matrix. Source localization of the jICA-ERP components was used to reconstruct the spatial distribution of source activity across the cortical surface. JICA-fMRI components were voxel-wise and cluster thresholded and jICA-ERP components were vertex-wise and cluster thresholded to identify components with significant joint fMRI and ERP source activity.