PMC

(a) Pathways between dimension 1 (D1) network nodes; (b) Pathways between D1 and other networks. Red-Yellow: pathway strength positively covaries with D1. All covariances were significant at p<0.001, FDR corrected. The color bar represents the p-values obtained in the D1>baseline contrast. The pathways labeled R>NR and NR>R were stronger in religious compared to non-religious subjects and vice versa, respectively.

Pathways between D2 and other networks. Red-Yellow: pathway strength positively covaries with D2; Blue-Aquamarine: pathway strength negatively covaries with D2. All covariances were significant at p<0.001, FDR corrected. The color bar represents the p-values obtained in the D2>baseline contrast. The pathways labeled R>NR and NR>R were stronger in religious compared to non-religious subjects and vice versa, respectively.

(a) Pathways between D3 network nodes; (b) Pathways between D3 and other networks. Red-Yellow: pathway strength positively covaries with D3; Blue-Aquamarine: pathway strength negatively covaries with D3. All covariances were significant at p<0.001, FDR corrected. The color bar represents the p-values obtained in the D3>baseline contrast. The pathways labeled R>NR and NR>R were stronger in religious compared to non-religious subjects and vice versa, respectively.

A schematic illustrating the analysis methods adopted in this article. Specifically, the activation analysis performed (Kapogiannis et al., ) is summarized first. The time series from the activated regions of interest (ROIs) are input to the dynamic connectivity model following which the covariance of the obtained dynamic connectivities with dimensional regressions is modeled using a GLM. Individual subject-level βs obtained from the GLM are subject to dimension>baseline contrasts. The significant paths resulting from this are again tested for significant differences between religious and non-religious groups.