Spatial normalization will have to evolve to improve its architectural compliance.
Specific research programs are required to select the sulci to be used during normalization.
Manifold learning is an efficient strategy to model the variability of the cortical folding pattern.
Connectivity-based parcellations will have a major impact on spatial normalization.