Hi all,

I am starting a new thread because while my question is related to the one ask, 
it is tangential.

Can I confirm that what you mean by not averaging surfaces is that one should not average 
the vertex points across gifti surfaces to create a so-called "average surface"

Can I ask then, is averaging the data associated with vertices from individual 
subjects and plotting the result on a template surface (eg colin or a just 
using an individual as a template) also problematic?

Regards,
Claude

On 03.08.2017 02:05, Timothy Coalson wrote:
On Wed, Aug 2, 2017 at 6:02 PM, James Morrow 
<james.mor...@monash.edu<mailto:james.mor...@monash.edu>> wrote:
Thanks Tim and Matt for the detailed responses.

I agree that mapping to volumes is sub-optimal. Our goal is to identify coords 
to be used as targets for brain stimulation with TMS. We need MNI coords for 
neuronavigation. Given the extent of the TMS field, we have some tolerance for 
imprecisions in the mapping.

I see.  We generally get asked these questions in the context of fMRI analysis, 
hence our reluctance.

How does the neuronavigation go from MNI coordinates to subject coordinates, do 
you happen to have a reasonable T1w MRI scan of your subjects?  I don't know 
how big the TMS field is, and I hadn't looked at the distance from subject to 
group average surfaces before, but in one of the HCP subjects, I got a maximum 
of 2cm distance from the group average surface (using midthickness surfaces), 
which occurred in a few specific locations, while 90% of the surface was 1cm 
distance or less.

Can I clarify – was the ICA run on the volumes and then later mapped on to 
surfaces, or was it performed on the surface data? If the former, are the 
original volumetric results for the ICA of each subject available anywhere in 
.nii format?

Cheers,
James

James Morrow
Research assistant
Brain & Mental Health Laboratory

Monash Institute of Cognitive and Clinical Neurosciences
School of Psychological Sciences
Monash University
c/o MBI, 770 Blackburn Road
Clayton VIC 3800
Australia

T: 03 9902 9768
E: james.mor...@monash.edu<mailto:amy.al...@monash.edu>
www.med.monash.edu.au/psych/bmh/<http://www.med.monash.edu.au/psych/bmh/>

[http://www.med.monash.edu.au/assets/images/psych/bmh/bannerbmh.jpg]<http://www.med.monash.edu.au/psych/bmh/>
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On 3 August 2017 at 07:00, Timothy Coalson 
<tsc...@mst.edu<mailto:tsc...@mst.edu>> wrote:
As Matt said, "MNI coordinates" of functionally-aligned cortical surface 
features don't have much meaning, similar to how T1w-aligned MNI space volumes don't have 
good cortical functional alignment (except in a few low-variability regions).  We have 
shown that group average surface coordinates do not follow the MNI cortical ribbon (see 
attached image that simply shows the average white and pial contours on top of the MNI 
nonlinear template).  The ICA maps themselves are also more informative than just the 
vertices at their peaks.

Surface group results should not be turned into volumetric files, group average 
surfaces do not have much folding left in them, and as such they do not match 
the MNI template anymore - this is due to folding incompatibilities between 
subjects, but also due to using functional surface registration instead of 
folding patterns.  Using the individual surfaces to map to the volume and then 
averaging across them would spread your data out just as badly as doing 
volume-based analysis of cortex, so this is also highly discouraged.

Despite strongly advising you not to do what you outlined, I will tell you what 
commands you would need.  The -cifti-extrema command will output a map with 1s 
and -1s at each local extrema.  The surface it uses is for neighbor information 
and distance computation - this isn't as critical as coordinates are, as it 
merely sets the maximum possible density of extrema (what you could get from a 
very noisy map).  You will need to use a threshold or other method to exclude 
local extrema that are outside the high-valued area.  We use midthickness 
surfaces for this kind of thing (and when doing some important spatial 
operation, we use corrected vertex areas to compensate for the loss of folding 
in group average surfaces, see -metric-smoothing).

You can extract the coordinates of a surface file with 
-surface-coordinates-to-metric, and you can use -cifti-separate on the 
-cifti-extrema result to get those as metric files, so that the indices will 
match, so that you can use them in matlab or some other tool for ad-hoc 
analysis (alternatively, use -cifti-create-dense-from-template to put the 
surface coordinates into a cifti file).  Since we advise not to do this with 
any group data, you are on your own here (finding the coordinates in a bunch of 
individuals and averaging those will give exactly the same bad answer, 
reflecting the fact that many/most functional areas have notably different MNI 
coordinates in each individual).

Tim


On Tue, Aug 1, 2017 at 7:46 PM, James Morrow 
<james.mor...@monash.edu<mailto:james.mor...@monash.edu>> wrote:
Hi,

We have recently downloaded the HCP900 Parcellation + Timeseries + Netmats (820 
Subjects) dataset.

We would like to obtain the MNI coordinates of cluster peaks in the 
melodic_IC.dscalar.nii ICA maps.

Is there any way to do this?

Is the –cifti-extrema function of wb_command the correct command? It requires a 
surface file, but I’m not sure which would be most appropriate for the group 
ICA results.

Alternatively, would there be a way to convert the dscalar file into a standard 
volumetric nii so that I can use standard FSL tools?

Thanks

James Morrow


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