Within‐brain coupling as a behavioral predictor
FM
REGRESSION
We further examined the predictive value of within‐brain coupling between various brain regions on behavior. In this analysis, we used a subset of three ROIs (L.IFG–dmPFC, R.IFG–dmPFC, and L.IFG–R.IFG), and calculated WTC values within each participant's brain. We constructed three LME models, each consisting of Condition, ROI, and the continuous value of WTC as fixed factors, and subject IDs as a random factor, for prediction of unlagged motion synchrony (“Total Sync”). The models differed in the level of interaction between the three fixed effects, such that the first model included only the main effects of the fixed factors, the second model additionally included all 2‐way interactions between the fixed factors, and the third model included main effects and all possible interactions between the fixed factors. A Type II Wald Numeric values and significance of WTC slopes as predictors of Perfect Sync values in the FM and IS Conditions in each ROI.Est. = 0.00S.E. = 0.01
n.s.Est. = 0.04S.E. = 0.02

Est. = 0.03S.E. = 0.01

Est. = −0.04S.E. = 0.01

Est. = 0.02S.E. = 0.01

Est. = −0.01S.E. = 0.01
n.s.Est. = −0.07S.E. = 0.01

Est. = 0.04S.E. = 0.01

Est. = 0.00S.E. = 0.01
n.s.Prediction of Total Sync by within‐brain WTC in each Condition in each ROI pairing.Within‐ and between‐brain coupling strength in the IS condition. Regression 