Fig. 2: Fitting of global coupling parameter in the whole-brain network model.
From: Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics
a The global coupling model parameter g scales the weights of the SC matrix. Low and high values of g represent networks where the functional connectivity is weakly and strongly coupled to the structural networks, respectively. b To estimate this global parameter, we sought the model that best reproduced the distribution of FCD values (fixing all other model parameters). c KS-distance between the empirical and the model FCD distributions, as a function of g, for one participant of each subject group (top: healthy controls and DOC patients; bottom: awake and anaesthetized subjects). Solid lines and shaded areas represent the mean and the standard error of the fitting curves over simulation trials. d Optimal global coupling g for all participants. In each panel, each dot represents a participant and the boxes represent the distribution of g. Boxplots represent the mean of the measures' values with a 95% confidence interval (dark) and 1 SD (light). Differences between groups were assessed using one-way ANOVA followed by FDR p-value correction. *: p < 0.05; **: p < 0.01; ***: p < 0.001. In panels (c) and (d), we used the healthy structural connectivity as the underlying connectivity of all models.
