Modeling the role of the thalamus in resting-state functional connectivity: Nature or structure
Fig 7
Complementary simulation samples.
Simulation samples derived from the parameter explorations with parceled thalamus and cortical nodes in prebifurcation (g = 2). In columns, simulation samples in which the thalamus drives cortical activity with different levels of noise (ηth = [0.022, 0.09, 0.5]) and at two different points of the thalamic bifurcation determined by pth = [0.12, 0.15], the former corresponds to the slow limit cycle of JR. First two rows show samples from the simulated signals (A), and their corresponding spectra (B). Last two rows showing PLV(α) (C, D) and dFC(α) (E, F). C and E showing empirical references for PLV(α) and dFC(α), respectively.