Does HCP pipeline removes compcor regressors for ICA-FIX denoised rfMRI data?
Shlok Purani
I am currently using HCP-YA dataset and I just wanted to know if HCP pipelines removes compcor noise components(aCompCor, tCompCor,...) from Preprocessed ICA-FIX cleaned denoised rfMRI data? I looked it up in the documentation of HCP-YA but couldn't find anything concrete regarding how HCP pipelines deal with compcor components in confounds timeseries for ICA-FIX rfMRI data? Can anyone please provide guidance? Thank you
Glasser, Matt
sICA+FIX removes multiple sources of non-BOLD noise, including spatially specific noise from head motion, cardiac pulsation, breathing, and scanner artifacts. It does not remove global respiratory noise, which is removed instead by temporal ICA.
Matt.
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Glasser, Matt
Compcor is an inferior approach to denoising. You don’t need that if you have high spatial and temporal resolution fMRI data and sICA+FIX.
Matt.
From: Shlok Purani <sh...@voxel.ai>
Date: Monday, August 22, 2022 at 8:24 AM
To: HCP-Users <hcp-...@humanconnectome.org>
Cc: "Glasser, Matt" <glas...@wustl.edu>
Subject: Re: [hcp-users] Does HCP pipeline removes compcor regressors for ICA-FIX denoised rfMRI data?
ok I understand but what about the component based noise correction(Compcor) like anatomical and temporal for ROI's CSF, WM and combined? does HCP pipelines handles compcor as well? if yes then may I please get some reference to learn about it