Figure 3. .
Dose-dependent response of network reconfiguration to stimulation. (A) To examine the effect of stimulation intensity on network reconfiguration, we vary the amplitude, pulse frequency, and duration of the square-wave input. (B) We quantify the total input intensity delivered during a stimulation trial as the product between the amplitude, pulse frequency, and duration. Here, we show the three-dimensional plane of input parameters that contribute to the overall stimulation intensity. (C) Distribution of correlations between the stimulation intensity and the change in mean of node strengths. Correlations are significantly negative in the low gamma band (p < 0.05, corrected) and in the high gamma band (p < 0.001, corrected). (D) Distribution of correlations between the stimulation intensity and the change in variance of node strengths. Correlations are significantly negative in the high gamma band (p < 0.001, corrected). Greater stimulation intensity decreases node-level interactions in high-frequency networks and leads to a more homogenous distribution of node strengths in the network. (E) Distribution of correlations between the stimulation intensity and the configuration similarity. Correlations are significantly negative in the alpha/theta band (p < 0.01, corrected) and in the high gamma band (p < 0.05, corrected). Greater stimulation intensity leads to lower configuration similarity (greater edge reconfiguration) in both the low-frequency and the high-frequency networks. For high-frequency networks, the extent of edge-level reconfiguration may subserve a finer scale mechanism for node-level alterations in functional network topology. Each observation is the correlation across trials within a stimulation session of a single subject. Solid lines represent the median, and dashed lines represent the first and third quantiles. *p < 0.05, **p < 0.01, ***p < 0.001.