I aim to compare differences between post-baseline and baseline in time-frequency data, but attempting a t-test on average power post-baseline revealed differences across all frequency bands, which seems erroneous for my experiment. There's a suggestion to use permutation testing, but I'm uncertain how to analyze it on a single-channel, single-trial basis, as most tutorials focus on multiple trials, subjects, or channels. Is permutation testing impractical for my data?