Hi there,
Thank you so much for making this denoising pipeline publicly available. I am relatively new to fMRI research and this pipeline has been a tremendous help throughout my graduate studies - both for learning the topics surrounding denoising and for denoising execution.
I have a couple of novice fMRI connectivity questions:
- Following preprocessing, should the fMRI data (rs-fMRI data in my case) be normalised prior to denoising? Specifically, upon inspection of the ts.mat file I noticed that the time series values are in the e+04 range. I know that when examining the time-series data on FSL it's possible to normalize the data from -1 to +1. If so, are there any efficient ways of normalising fMRI data following preprocessing?
- Are there any QA checks that you would recommend implementing during/following the fmriclean denoising pipeline? Currently, I ensure that the GM, WM, and CSF masks are registered correctly to the fMRI data, as well as, examine the cofounds.mat file to observe the extracted ts for the WM and CSF confounds. Are there any visual checks similar to the CONN toolbox that you would recommend?
Once again, thank you so much.
Abhi
Hi there,
Thank you so much for making this denoising pipeline publicly available. I am relatively new to fMRI research and this pipeline has been a tremendous help throughout my graduate studies - both for learning the topics surrounding denoising and for denoising execution.
I have a couple of novice fMRI connectivity questions:
Once again, thank you so much.
Abhi