To whom it may concern,

I am planning to use permutation statistics to analyze the distribution (at sensor level) of an EEG-based metric distinct from power (a ratio between the power of distinct frequency bands). This would the same steps of analyzing the topographical distribution of a sole frequency band: doing permutation stats between the two groups of interest and do cluster-based correction for multiple comparisons. Therefore, I wonder if I could use brainstorm algorithms on this different metric. Is there a specific way in which I could structure the data and import it so that I can use brainstorm algorithms?

Thank you in advance for your help,

Aimee Flores