STATS MAKE ME CRY

Hi,
I am wondering if you could help me with my analyses for a within-subject design crossover trial I recently conducted. The design is as follows:
Each participant completed three conditions (randomly assigned to condition order) on three separate days. Measures were taken seven times during each condition. I want to determine whether there were statistically significant differences between the conditions in a dependent variable (DV) at each of the seven time points. The DV is a continuous variable.
I have conducted a two way repeated measures ANOVA (Analyze - General Linear Model - Repeated Measures in SPSS) with Time (7) and Condition (3) as the within-subject variables, and under the options menu, I ticked ‘compare main effects’ and selected Bonferroni for the CI adjustment. The output from this provides the main effect for Time, Condition, and the interaction effect Time*Condition. It also produces 2 tables of Pairwise comparisons, showing the mean difference ( and SE) in the DV between conditions, and the mean difference ( and SE) in the DV between time points (with associated p-values). It also produces a table for the Time*Condition interaction, with the mean, SE, and CI for each treatment at each time point. But it does not compare the three conditions at each time point! I realize I could conduct t-tests (or similar) at each time point, but I'm worried about the risk of a Type 1 error.
Is it possible to compare the mean difference between conditions at each time point? And if so could you please explain how to do this?
I hope that makes sense. I've been struggling with this for a while, so would really appreciate some help!
Kind regards,
George

Also, if possible, I would really appreciate it if you could tell me how to enter baseline as a covariate when there are three baseline variables for the DV, one for each condition.
Thanks,
George