Decoding cognitive information processing with multi-modal parcellation and behavioral profiling

A defining aspect of brain organization is its spatial heterogeneity portraying multiple topographies on different spatial scales and along different spatial axes. Several markers or features can be used to examine this complex organization. They range from local properties observed in the brain tissue to long-range connectivity patterns estimated with neuroimaging approaches. These different features appear to capture similar, but also complementary dimensions of brain organization, which in turn, define the dimensions of cognitive information processing. We propose that behavioral profiling of these topographies with large-scale MRI data could contribute to our understanding of cognitive information procession in the human brain. Fully harnessing the newly available data aggregation resources and inferences methods nevertheless comes with the challenge of disentangling noise from true features of the human brain organization and function, thus highlighting the need for stability and reproducibility investigations.