Dear FSL experts,
I have applied different pre-processing techniques to a dataset of task fMRI and I am planning to compute the activation maps.
For one pipeline, I have considered the residuals (fsl_glm) after regression of 6 motion, WM and CSF time series. Could you please advise how to adjust the degrees of freedom in the design matrix of the FEAT/Stats analysis (at 1st and 2nd level) when the residuals are input?
I have also used some ICA-based pipelines and I have the same issue: I am inputting the clean data but the actual model does not take into account that I have regressed out a given number of ICs from the data (variable with the subject in this case). Could you please advise on how to take this into account?
Thank you very much in advance for your input and help,
Best wishes,
Bianca
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