Hi Grace,

Please provide more information about how your data was preprocessed/denoised to be able to help you, but in general it is perfectly fine to enter already preprocessed and denoised data into CONN. If it is fully preprocessed and denoised, all that you need to do is enter the corresponding MNI-space anatomical and functional data (unless you want to be able to run quality control and evaluate the quality of your data before running any analyses, which is definitely recommended, in which case you also want to import other outputs of your preprocessing pipeline into CONN, like MNI-space gray/white/csf segmentation masks, realignment parameters, framewise displacement, potential outlier scans, etc. ) and simply skip both preprocessing and denoising. To skip preprocessing, simply do not run the preprocessing step and move directly to the denoising tab after importing your data, and to skip denoising simply remove all of the denoising steps set up by default in the Denoising tab.

Hope this helps

Alfonso

Originally posted by Grace Hodges:

Hi,

I have some data that has already been preprocessed and denoised, and I would like to use the CONN analysis tools but I am unable to skip preprocessing and denoising steps in the toolbox (v 21 and 22). I have made a few attempts to circumvent those steps for this data, but it keeps outputting misaligned data and/or re-denoising already-denoised data. Do you have any recommendations as to how to upload preprocessed data to use the CONN analysis tools?

 

I have attached the preprocessing and denoising steps that have gotten closest to what I want to do, please let me know what suggestions you have to fix it.

 

Thanks,

Grace