The topological organization of the connectome is non-random and exhibits small-world architecture 3, hubs and rich clubs 2, 4, modules 5, and cost-effective spatial embedding 6. At the macroscale, the connectome can be represented as a graph or network whose nodes and edges correspond to brain regions and white-matter fiber tracts 2. The human connectome constitutes the complete set of neural elements and their anatomical connections to one another 1. Our results describe patterns of structure-function coupling across the cortex and how this may change with age. We find that these decreases are driven by reduced coupling in sensorimotor regions, while higher-order cognitive systems preserve local coupling with age. We find global decreases in the magnitude of structure-function coupling with age. Finally, we assess age-related differences in global and regional coupling across the human lifespan. Next, we expose synergies among predictors by using pairs to jointly predict FC. At the regional level, performance improves but heterogeneously, both in terms of variance explained and the optimal model. We find that globally most predictors perform poorly. Here, we compare a large number of models at both global and regional levels. Most have focused on a small set of models applied globally. A growing number of studies have used stylized network models of communication to predict brain function from structure.
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