Closed YukiSakai1209 closed 2 years ago
@a3sha2 I checked the codes. ${out[sub]}/confound2/${prefix}_confmat.1D (NOT ${out[sub]}/regress/${prefix}_confmat.1D) is used in regress module for the surface processing ( 475-485 lines in https://github.com/PennLINC/xcpEngine/blob/master/modules/regress/regress.mod ). Therefore, in my understanding, sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii is the output without the scrubbing (only regressing out 36p confounds) even if we used the 36p_scrub.dsn.
Is my understanding correct?
Hi @YukiSakai1209
You are right.
sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii
sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii
for further analyses, there is sub-{}_nflag*txt
file that revealed which volume is censored(1) and which volume is not(0). I believe you can used that to remove censored volume sfrom sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii
@a3sha2 Thank you very much!
The regression is done on the good volumes, the interpolation done over censored volumes to replace it. for nifti volumes, there is uncensored volumes in the regresse folder that consist all the volumes after interpolation similar to sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii
Let me confirm. Does the interpolation mean the replace process to remove censored volumes (e.g., linear interpolation using the pre- and post-censored volumes)? If it is correct, uncensored volumes and sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii are also scrubbed using interpolation?? In my understanding, I believed that uncensored volumes are pre-censoring residuals. Maybe, I’m confusing.
If so, which part of the code work for interpolation of the surface signals. I cannot find it.
@a3sha2 I checked the output of one subject of my data, processed using 36p_scrub.
I plot signals of this subject in ROIs Time manner (attached). As you suggested, in uncensored * volumes, the flagged volumes seem to be interpolated (very low signals mentioned in https://github.com/PennLINC/xcpEngine/issues/212 ). However, in sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii, interpolation seems not to be conducted.
Therefore, it seems that
As you suggested, I can remove censored volume from sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii. However, different from the volume space process, spike regressors are not added at all into the model (in the volume space process, spike regressors are added to ensure that the model fit ignores high-motion volumes). Is it OK that I simply remove the flagged volumes from sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii to get the scrubbed signals from CIFTI outputs?
hi @YukiSakai1209
Sorry for late response. scrubbing was not applied to surface processing, it was only applied to volume. I would suggest you convert nifti files to dtseries.
@a3sha2 I understand. It is quite confusing that sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii was not scrubbed even if we use the 36p_scrub.dsn. It might be better to add some explanation about it.
This is quite a simple question.
I conducted the confounds regression of fmriprep using 36p_scrub.dsn. Although the number of volumes of sub-{}_residualised.nii.gz was (total number of volumes - nVolumesCensored), the number of volumes of sub-{}_residualised_space-fsLR_den-91k_bold.dtseries.nii was equal to the total number of volumes.
Since the sub-{}_confmat.1D included the scrubbed volumes as regressors, I think that scrubbing was conducted as follows:
In my understanding, these methods are equivalent. Is my understanding correct?