[Mne_analysis] Linear regression on Time Frequency data

[S.P.H. Speer]

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Hi Alex,



I create subject level contrasts (conflict versus no conflict) and then want to run a group-level analysis where I want to use a continuous variable, which is an individual difference measure (number of trials on which the participant cheated),  as a predictor in a linear regression with t-values from the within subject contrasts (conflict versus no conflict) as dependent variable. Stated differently, I want to see whether frequency of cheating across individual can explain differences how conflict versus no conflict trials are modulated in the brain.

I've got the within-subject contrasts for each subject TF-maps one for each channel and am now wondering which function I can use to run this group-level analysis?



Thanks for your help,



Sebastian







hi Sebastian,



can you step back and explain the overall aim of the procedure?

what would you like to show with your data? is it group level?

a contrast?



Alex





On Mon, Jun 29, 2020 at 6:14 PM S.P.H. Speer <speer at rsm.nl<https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis>> wrote:

>

>         External Email - Use Caution

>

> Dear MNE-team,

>

>

>

> I'm trying to run a linear regression analysis on Time-Frequency data. I've got the average TFR for each for each subject and want to regress and individual difference measure on the time frequency data for a specific channel. The data has the same dimensions as for running linear regression on epochs but instead of channels I'm using frequencies. Unfortunately the linear_regression function provided by MNE does not allow TFR data as input. Is there a workaround for this problem? I would also like to run cluster-based permutation tests on the results of the linear regression to estimate significance. Would that be feasible?

>

>

>

> Thank you very much for your help,

>

>

>

> Sebastian

>

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