AFNI version info (afni -ver
): 23.1.10
3dFWHMx -input ./MNI152NLin2009cAsym_desc-preproc_bold.nii.gz -mask ./MNI152NLin2009cAsym_desc-brain_mask.nii.gz -acf
Hello again,
I cannot thank the community enough for the help I have been getting with my analysis. I am on my way to finalizing the GLM script for my analysis with my multi-echo data (pre-processed through fMRIprep and tedana).
I have used 3dFWHMx
in order to smooth the data for 3dDeconvolove
but it seems like my FWHM is unusually large for my functional data. Would anyone happen to know why this might be the case? The current functional data that I am using has been denoised and optimally combined the 3 echos that I have. Would you recommend that I do not smooth the data for the GLM?
None of the preprocessing steps should have any smoothing preformed, and I think the issue might be coming from the fact that the functional data has been combined for all 3 echos that I have.
Any insight would be very much helpful, thank you!