Non-parametric or parametric stats implemented in Brainstorm

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4

Thanks Franois and Pantazis

Pantazis,
Maris E, Oostendveld R, Nonparametric statistical testing of EEG- and MEG-data, J Neurosci Methods (2007), 164(1):177-90
should be about cluster-based permutation test, but what I used is bellow:

I run this analysis:

a1
a1460×775 24.1 KB

Then applied Bonferroni:
b2

  • What was little confusing to me, we usually talk about t-test and permutation test. What we have in Brainstorm is permutation based t-test and this term is not widely used in a literature. Can we call it Monte Carlo as well or it is mixture of Monte Carlo and t-test as shown in the figure above?

  • When running permutation t-test on PSD topoplots (plot above), does it permute only between the same electrodes (e.g. F3 condition 1 vs F3 condition 2, across N number of people)

Or

It permutes across all the electrodes and subjects?

  • Is it still required to apply Bonferroni or FDR with independent or paired permutation based t-test implemented in Brainstorm? In cluster-based permutation test Bonferroni or FDR should not be required.

Thanks