In analyzing pre-/post-treatment resting-state fMRI data for patients with anxiety disorders and healthy controls, it's crucial to consider both statistical models carefully. A 2x2 ANOVA can effectively examine the interaction between treatment and group. However, an ANCOVA may provide a more nuanced analysis by controlling for potential confounding variables such as sex, age, and education level. Incorporating these covariates can help isolate the treatment effect more precisely and account for individual differences that might otherwise skew the results.