Of the cortex only or subcortical also?

Matt.

From: Yael Shavit <yael.sh...@gmail.com<mailto:yael.sh...@gmail.com>>
Date: Monday, January 28, 2019 at 1:55 AM
To: Matt Glasser <glass...@wustl.edu<mailto:glass...@wustl.edu>>
Cc: hcp-users 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>, Timothy 
Coalson <tsc...@mst.edu<mailto:tsc...@mst.edu>>
Subject: Re: [HCP-Users] How can the diffusion HCP data be registered to the 
MNI space?

I would like to compare diffusion properties of grey matter areas across 
subjects. I was wondering whether projecting them to individual native surfaces 
as they are would allowing comparing them to one another, or would it be better 
to project them all to MNI, and if so, how can I do so.

Thanks again.

‫בתאריך יום א׳, 27 בינו׳ 2019 ב-17:43 מאת ‪Glasser, Matthew‬‏ 
<‪glass...@wustl.edu<mailto:glass...@wustl.edu>‬‏>:‬
I guess you are going to have to be a lot more specific as to what kind of 
analysis you are trying to do.  I guess that is the only way we will be able to 
give you good advice.

Matt.

From: Yael Shavit <yael.sh...@gmail.com<mailto:yael.sh...@gmail.com>>
Date: Sunday, January 27, 2019 at 2:39 AM
To: hcp-users 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Cc: Timothy Coalson <tsc...@mst.edu<mailto:tsc...@mst.edu>>, Matt Glasser 
<glass...@wustl.edu<mailto:glass...@wustl.edu>>
Subject: Re: [HCP-Users] How can the diffusion HCP data be registered to the 
MNI space?

Hi, thank you for your answers. My issue is not specifically with projection to 
surface, but with the fact that the diffusion data is in native space and not 
in common space (I am interested in working on cortical and subcortical the 
gray matter). Should I apply transformations to MNI and then project to the 
individual's surface in MNI for group comparison?

Thanks again.

‫בתאריך יום ו׳, 18 בינו׳ 2019 ב-0:32 מאת ‪Glasser, Matthew‬‏ 
<‪glass...@wustl.edu<mailto:glass...@wustl.edu>‬‏>:‬
If this is about tractography, the advice will be different however.

Matt.

From: 
<hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>>
 on behalf of Timothy Coalson <tsc...@mst.edu<mailto:tsc...@mst.edu>>
Date: Thursday, January 17, 2019 at 12:57 PM
To: Yael Shavit <yael.sh...@gmail.com<mailto:yael.sh...@gmail.com>>
Cc: hcp-users 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Subject: Re: [HCP-Users] How can the diffusion HCP data be registered to the 
MNI space?

The strongest directional information in the diffusion data is in the white 
matter, so I assume you are computing some measure from the scans and 
specifically want to study its value only in gray matter?

The main command for this purpose is wb_command -volume-to-surface-mapping, and 
we recommend the ribbon mapping method (to capture the entire signal between 
white and pial surfaces, and downweight partial volumed voxels).  We do not 
recommend downsampling the voxel data before this step, it would be better to 
use the 1.25mm^3 data directly.  If you want the subcortical gray matter in our 
standard cifti space, then you should make a downsampled version for only that 
purpose (and still using the original 1.25mm^3 volume in the 
-volume-to-surface-mapping part).  Note that you should generally do a small 
amount of smoothing (on the order of the larger voxel size) before downsampling 
volume files, in order to not effectively waste SNR, because the volume 
resampling methods are point estimates.

You can look through the fMRISurface pipeline for how we go about doing this 
for fMRI data.

Tim


On Thu, Jan 17, 2019 at 10:42 AM Yael Shavit 
<yael.sh...@gmail.com<mailto:yael.sh...@gmail.com>> wrote:
It seems that the diffusion HCP data is in native space in a resolution of 
1.25mm^3. I am interested in projecting it to surface, in 2mm^3. What would be 
the best way to do so, preferably using the HCP Pipelines?
Thank you in advance.

Yael Shavit
Tel Aviv University

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