Seed‐based analysis and individualized prediction
REGRESSION
To explore the functional connectivity mechanism of rTMS treatment effects, regression analysis was used to examine the correlation between the changes in seed‐based functional connectivity and cognitive performance (i.e., between Δ connectivity and Δ cognition) after rTMS stimulation. First, we constructed functional networks based on the stimulation target before and after rTMS treatment (Figure Results of seed‐based and CPM analysis. (A) Δ connectivity between the stimulation target and SFG.L, ORBsupmed.L, and MFG.R showed significantly positive correlation with Δ memory function (Next, the CPM method was applied to predict rTMS treatment effects. Predictive models obtained from above analyses significantly predicted Δ memory function after rTMS treatment based on seed‐based connectivity at baseline (positive network: 