Figure 5.

Contribution of cortical thickness and surface area to gf and gc. Schematic example of a gf task, which requires navigating the solution space to find the correct answer (A). Cortical surface area is associated with the number of cortical columns (B). Higher cortical surface area can potentially lead to increased capacity by increasing the number of cortical columns (information processing units) as well as to increased functional specificity of cortical columns by reducing fraction of intercolumnar interconnections (C). Cortical surface area in superior parietal cluster morphed back into pial surface for two representative subjects (D). Schematic example of a gc task, which relies on accessing stored knowledge (E). Cortical thickness is associated with thickness of cortical columns determined by dendritic arborizations and glial support (F). Learning can lead to pruning of random connections between neurons, creating a more structured neural network, leading to decreased cortical thickness by reducing dendritic arborizations (G). Cortical thickness in left middle frontal gyrus morphed back into pial surface for two representative subjects (H).