Fig. 2: Comparing functional and structural hierarchical organization.
From: Revisiting the global workspace orchestrating the hierarchical organization of the human brain
a, Functional hierarchy shown as cortical renderings of each of the incoming (Gin), outgoing (Gout) and total (Gtot) directional information flow computed from the NDTE matrix of 1,003 HCP participants (see Fig. 1 and Methods) in the Glasser parcellation (using renderings of cortical flattening and 3D renderings with midline, right, left, top and bottom views). As shown, the outgoing information, Gout, is highest in sensory areas, while the incoming information, Gin, is highest in higher-order, integrative transmodal areas. b, The structural hierarchy shown for myelination of brain regions (myelin-weighted T1w/T2w) with the same renderings at the voxel level (top) and in the Glasser parcellation (bottom). c, Scatterplots between the functional hierarchy (Gin, Gout and Gtot) and structural hierarchy (myelination). The linear correlations are shown by the red line (with standard error in shaded gray) overlaid on the scatterplots (see Results for r values). This shows that myelination is highly correlated with Gtot and mainly driven by correlation with Gout. On the other hand, there is a much lower correlation with the incoming flow, that is, an integrative measure of Gin. This means that the static measure of myelination is likely to mostly reflect the driving flow in sensory areas, but provides much less information on integrative areas. d, The same as a but for the DK80 parcellation. e, Myelination in the DK80 parcellation. f, Scatterplots between the functional hierarchy (Gin, Gout and Gtot) and structural hierarchy (myelination) in the DK80 parcellation. The linear correlations are shown by the red line (with standard error in shaded gray) overlaid on the scatterplots (see Results for r values). The results in this coarser-scale DK80 parcellation are fully consistent with the finer-scale Glasser parcellation.
