Permutation cluster test for repeated measures

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Dear all,

*Background* - I conducted an EEG hyper-scanning experiment with 3
experimental groups and two repeated measures.
In order to examine the connectivity between the participants, I
concatenated both participants' caps (31 channels each) to be one 62
channel cap.
For each repeated task, using the function
mne.connectivity.spectral_connectivity
<https://martinos.org/mne/stable/auto_examples/connectivity/plot_sensor_connectivity.html>,
I
calculated the connectivity between the participants.

*My question* - I want to run a permutation cluster test for groups (3
categorise) * repeated measures (before/after).
I'm using the function mne.stats.permutation_cluster_test
<https://martinos.org/mne/stable/generated/mne.stats.permutation_cluster_test.html>.
How can I adjust the code below to run repeated measures?

*Code*

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Dear Amir,

sorry for the late reply. Unfortunately I don't think the current implementation
allows to have such advanced shuffling schemes to construct the permutations.

maybe someone else can help here?

Alex

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Hi Amir,

In order to test the interaction term you could probably just run a 3-way ANOVA (3 groups) on the post-pre difference. If you are interested in the mixed ANOVA, it should be possible in Eelbrain (https://eelbrain.readthedocs.io/en/stable/reference.html#module-testnd) let me know if you want to try that and need help getting your data in the right format.

Christian
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