56,95,107 Other studies examined anatomical connections in relation to functional RSNs demonstrating that functionally coherent networks were linked by anatomical projections.108,109 More detailed network analyses of structural and functional connectivity revealed that while functional connectivity Inhibitors,research,lifescience,medical reflected the underlying

structural networks, the relation between structural and functional connections was non-trivial and complex. For example, many strong functional connections were observed among pairs of CP-868596 ic50 regions that were not linked by a direct structural projection. Network models strongly suggest that all functional connections reflect a combination of numerous dynamic influences traveling Inhibitors,research,lifescience,medical through the network along many paths, most of them indirect paths that take multiple intermediate steps. Figure 6. Relation of structural to functional connections. All data shown here are represent the right hemisphere of cerebral cortex (averaged over 5 participants), replotted from refs 56,95. (A) Structural connectivity (SO matrix, with edge weights Inhibitors,research,lifescience,medical resampled … An anatomical basis for the organization of dynamic brain fluctuations into RSNs is compatible with the related idea that RSNs represent the result of strengthening and weakening

of connections due to a history of co-activation and common recruitment during task-evoked activity.19,110 This proposal suggests that patterns of Inhibitors,research,lifescience,medical functional connectivity expressed during rest recapitulate co-activation patterns expressed

across many tasks, with the strengths among regions modified through a mechanism akin to Hebbian plasticity. This mechanism of plasticity further sculpts and shapes the efficiency of the underlying anatomical substrate, essentially tailoring RSN configurations to reflect Inhibitors,research,lifescience,medical individual history and experience. Indeed, task-evoked patterns of coactivation are robustly related to functional connectivity observed in the resting brain,111,112 lending support to the notion that the resting brain cycles through or rehearses patterns of co-activation that are at other times purposefully deployed in response to the varying stimulus and task contexts. This idea of rehearsal or recapitulation implies that spontaneous brain activity displays fine-grained temporal structure on time scales that are considerably shorter than the several minutes typically required for sampling stable and consistent patterns of resting-state functional connectivity. The idea that the “resting state” is less a state, but rather a dynamic spatiotemporal pattern, was first encountered and explored in computational models of resting brain activity.