Stimulation-Based Control of Dynamic Brain Networks
Fig 6
(a-b) The absolute change in functional connectivity and resulting fractional activation shown for a threshold value of 0.6. (a) Example of stimulation applied to a region of low average controllability resulting in a focal effect on the resulting functional connectivity matrix. (b) Example of stimulation applied to a region of high average controllability resulting in a global effect on the resulting functional connectivity matrix. (c) The relationship between functional effect and fractional activation due to regional stimulation. We observe a high positive correlation between functional effect and fractional activation (Spearman’s ρ = .992, p ≪.001), indicating that a high functional effect corresponds to a global impact of stimulation while a low functional effect corresponds to a focal impact of stimulation. (d) The relationship between structural effect and fractional activation due to regional stimulation. Calculations of the functional and structural effects and fractional activation were performed for each of the three scans for each subject and the data points reflect values averaged over scans.