Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain
Fig 8
Quantification of Global vs Local Slow Waves.
The labels show the radius and factor of strength reduction in each model—e.g., 5/4 indicates a model where connections longer than 5 mm are reduced by a factor of 4. A) For each model, the Regularity of each parcel is calculated; the mean and variance of these distributions predict the overall network behavior, with global models showing high Regularity and local models showing low Regularity. The group of models in the middle of the distribution, boxed in orange, represents Mixed states. B) Mean Regularity is plotted against the Intact Score (total percent of synaptic strength relative to the global base model). Note that the total level of synaptic strength is itself predictive of network behavior—the same mixed models fall in the orange box in the middle of the distribution. C) Example traces of 10 random parcels in representative Global, Mixed, and Local models show different levels of synchrony across the brain.