[Mne_analysis] Cluster-based permutation test with correlation

[Eric Larson]

        External Email - Use Caution        

It's probably worth searching something like "cluster correlations" on
MNE's Discourse forum, this is the first result for example (but there are
probably other relevant ones):

https://secure-web.cisco.com/1Wv3G9Thqu_oLCxyi15yhRqKEe3lE-vDkD1DcSXJFf1N4Ap6HFFqdoWUkiMqUWQZAPe4DJedmfVzM8pXpiJ_E8EY3KSDyCHNKwalczZkkA5m-plWWyaFskBtHtG999stg5omav3WcErdUrrLMjxH3H8nVmFEivD8oSPS6EjQcRVTvreBUcku76sA3uc3yzaajojS6lsI5uix_eY9wyuTcUznyVcr5-ntAtJ2IqUD9Edre0ergOMfelgMaDh6P2WcLo9Vh_8TnBhJSX8NY6MguiM08TXwD1o122Tp9EALU7ZPTVExHvucVNnAEcVatD4xGAf27cXht37pJmtY6lg4bnQ/https%3A%2F%2Fmne.discourse.group%2Ft%2Fcluster-based-correlations-in-mne%2F1508

Eric


On Mon, Feb 6, 2023 at 6:00 AM Xia Tao <psytao18 at connect.hku.hk> wrote:

>         External Email - Use Caution
>
> Dear MNE users,
>
> I am trying to explore the relationship between my behavioral outcome and
> sigma power at all time points. I attempted to conduct a permutation
> cluster test using Pearson correlation as my statistic, but I encountered
> an error: TypeError: No loop matching the specified signature and casting
> was found for ufunc add.
>
> If anyone has encountered this issue and knows how to resolve it, I would
> greatly appreciate your help.
>
> Here is the code and error in detail:
>
> def statistic(x, y):
>     return pearsonr(x, y).statistic
>
> c_obs, clusters_c, cluster_p_values, H0 = \
>
> permutation_cluster_test([sigma,behavioral],tail=0,threshold=0.05,stat_fun=statistic,n_jobs=-1,n_permutations=1000)#competition
> vs noncompetition
>
> error:
> Thank you,
> Tao
>
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