MSMAll is a cerebral cortical surface alignment approach.  The subcortical 
volume portions of CIFTI are aligned with FNIRT volume-based nonlinear 
registration.  As to whether that is better or worse than the volume-based 
nonlinear registration used by SUIT it is hard to say.  One would have to try 
both approaches and see which had better functional alignment (which is not 
always the approach with better fitting of folds—on the cerebral cortex tighter 
folding alignment leads to worse functional alignment).  Unfortunately no one 
has yet developed a way of performing cerebellar surface segmentations of 
individual subjects reliably, however surface registration would be better than 
volume-based registration if it were possible.  CIFTI is designed to allow a 
surface-based cerebellum if we ever get the ability to make cerebellar surfaces 
in individuals reliably and MSM would be able to do a functional alignment in 
that case as well.

Peace,

Matt.

From: Kajsa Igelström 
<kajsa.igelst...@gmail.com<mailto:kajsa.igelst...@gmail.com>>
Date: Tuesday, March 7, 2017 at 1:10 PM
To: Matt Glasser <glass...@wustl.edu<mailto:glass...@wustl.edu>>
Cc: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Subject: Re: [HCP-Users] ICA failure with volumetric ICA-FIX denoised files

Thanks a lot! I have a follow-up question: Do you know how cerebellar alignment 
in CIFTI/MSMAll data compares to that achieved with the SUIT Toolbox?
Many thanks,
Kajsa


On Tue, Mar 7, 2017 at 2:05 PM, Glasser, Matthew 
<glass...@wustl.edu<mailto:glass...@wustl.edu>> wrote:
I think there is a bug in melodic, which I also encountered.  I would report 
this to the FSL list, but it is likely the issue will be fixed in the next FSL 
release.

Also, if you are running melodic in the volume and combining across subjects, 
this is not recommended because much of the brain is not well aligned in the 
volume.  It is instead recommended that you use the CIFTI data that has been 
aligned with MSMAll.  ICA gives very different results depending on whether the 
data are well aligned or not.

Peace,

Matt.

From: 
<hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>>
 on behalf of Kajsa Igelström 
<kajsa.igelst...@gmail.com<mailto:kajsa.igelst...@gmail.com>>
Date: Tuesday, March 7, 2017 at 12:40 PM
To: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Subject: Re: [HCP-Users] ICA failure with volumetric ICA-FIX denoised files

Hi Jenny and others!
I'm also unable to run these files through Melodic. The most common problem is 
that it doesn't converge, and under some circumstances it seems like Melodic 
just stops in the middle of normalizing individual files, at points that are 
not logical to me, or reproducible.
Best,
Kajsa



On Tue, Mar 7, 2017 at 12:24 PM, Jenny Gilbert 
<jennyrg...@gmail.com<mailto:jennyrg...@gmail.com>> wrote:
Hello HCP!

I am trying to complete ICA using the volumetric ICA-FIX de noised data 
(rfMRI_REST1_RL_hp2000_clean.nii.gz files), and melodic keeps failing. It looks 
like melodic gets hung up on some participants cannot progress while removing 
the mean image and normalizing by the voxel-wise variance.

Has anyone come across this same problem? Any advice on how to fix?

Thank you!
Jenny
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