Statistical analysis
migraine, CM
MIGRAINE, DISEASE
Sex was recorded as binary variables. Age, disease duration, migraine attacks per month, disease duration, migraine days per month, VAS, HIT-6, MIDAS, and PSQI were recorded as continuous variables, and one-sample Kolmogorov–Smirnov test was used to check the normality of all continuous variables. Demographics and clinical variable were compared between controls and migraineurs, and between CM and EM using independent samples Analysis of variance (ANOVA) was performed to evaluate the regional difference in iron-related metrics among the three groups. Subsequently, Bonferroni post hoc analysis was applied to analyze the difference between each of the two groups. Partial correlation analysis was conducted to detect the potential relationship between regional iron-related metric and clinical variables in migraine patients, and in patients with CM and EM, respectively. All analyses were adjusted for age and sex. Bonferroni correction for the problem of multiple comparisons in multiple-region level, and to further control for the type I error was performed. A significance level of 