Linear regression on Time Frequency data

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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

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hi Sebastian,

the only thing I can suggest is that if you think the signal is in the
time-frequency
power than you should not process electrodes separately but use dedicated
spatial filtering techniques that can boost SNR (See CSP, SpOC in the
MNE-Python
documentation).

HTH
Alex