cluster-based correlations in MNE?

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Hi everyone,

I would like to explore correlations between resting-state EEG frequencies
power and neuropsychological / behavioral variables and thus look for a way
to perform cluster-based correlations in MNE, like in this paper
https://www.nature.com/articles/srep05101
<https://www.google.com/url?q=https://www.nature.com/articles/srep05101&sa=D&source=hangouts&ust=1525764957803000&usg=AFQjCNFjQb0zLhx_5sSy3COkbiOH0G728g>
(although
I am open to suggestions for other approaches if you have).

There may be something around the *permutation_cluster_test()* function but
it is not clear for me how I have to format my data in this case.

Thank you for your help,

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Hi Nicolas,

I am not sure whether a cluster-based correlation test is possible with the MNE-Python stats functions yet, but I implemented it a while ago in Eelbrain which is easy to apply to MNE-Python objects. The relevant function is testnd.corr (http://eelbrain.readthedocs.io/en/r-0.27/reference.html#module-testnd). Feel free to email me if you want to try it and want more guidance.

Christian