The files you would optimally be using are:
${StudyFolder}/${Subject}/MNINonLinear/Results/${fMRIName}/${fMRIName}_Atlas_MSMAll_hp2000_clean.dtseries.nii
— for general cross-subject analysis of the greymatter.
${StudyFolder}/${Subject}/MNINonLinear/Results/${fMRIName}/${fMRIName}_hp2000_clean.nii.gz
— only if you need to see stuff in the white matter or CSF (in the extended
FIX packages).
After sICA+FIX processing motion effects are largely removed from the data,
though global physiological noise remains. See this paper for more details:
https://www.sciencedirect.com/science/article/pii/S1053811918303963
Peace,
Matt.
From:
<hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>>
on behalf of Aslan Satary Dizaji
<aslansat...@gmail.com<mailto:aslansat...@gmail.com>>
Date: Wednesday, October 3, 2018 at 1:12 AM
To: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>"
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Subject: [HCP-Users] Do we need to perform extra preprocessing on FIX-Denoised
data-set?
Dear all,
We are currently working with 100 unrelated subjects data of HCP in two formats:
1) Resting State fMRI 1&2 Preprocessed
2) Resting State fMRI FIX-Denoised (Compact)
I know for the first format which is minimally preprocessed there are other
preprocessing steps needed to be done (e.g. removal of motion-related
components of the signal; regression of mean time courses in white matter,
cerebrospinal fluid, and gray matter; removal of the linear trend; and low-pass
filtering). However, I am not sure if these extra steps are also required for
the second format in the form of MSMAll FIX cleaned data.
I was wondering if you could be helpful in this regard.
Best regards,
Aslan
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