Thank you very much Steve for your prompt response! 

 

1. I looked into Beckman IEEE TMI 2004. Is there any way to find out the
threshold 'Z-stats' for each IC corresponding to the 0.5 posterior
probability activation in the framework of Gaussian mixture model? In other
words, how to use the provided Z-stats distributions, how to find a
reasonable Z-stats threshold for an individual IC? Can such a threshold
selection procedure be automated, or one needs to go over all components
manually and after visual inspection make a selection? 

 

2. I was running two instances of wb_view in Windows 7, the second one
loaded with WB_1.0_Tutorial. After closing them and then opening only one
instance of wb_view loaded with group-ICA, only a single number appeared.
Should this be reported as a bug in wb_view for Windows? 

 

3. Thanks for the explanation.

 

Cheers,

 

Bagrat

 

 

From: Stephen Smith [mailto:[email protected]] 
Sent: Thursday, December 03, 2015 2:43 AM
To: Bagrat Amirikian
Cc: [email protected]
Subject: Re: [HCP-Users] group-ICA spatial maps

 

Hi

 

On 3 Dec 2015, at 04:24, Bagrat Amirikian <[email protected]> wrote:

Hi,

I have downloaded and unpacked HCP500_Parcellation_Timeseries_Netmats data.
My question is about group ICA spatial maps, specifically, about
melodic_IC.dscalar.nii and melodic_IC_ftb.dlabel.nii files in the groupICA*
subdirectories. There is a very short description of these files in the
accompanying PDF file:

 

melodic_IC.dscalar.nii                    ICA spatial maps (unthresholded
Zstats); one "timepoint" per map.         Grayordinates

melodic_IC_ftb.dlabel.nii             Summary "find the biggest" labels
image for all ICA spatial maps.              Grayordinates

 

I have loaded these files generated for 25-dimensional group-ICA to wb_view
with corresponding Q1-Q6_R440_midthikness surface files for their
inspection. 

 

1.       I can appreciate Zstats maps provided for each IC by
melodic_IC.dscalar.nii. How were exactly these Zstats computed? Are these
regular Z-scores obtained by subtracting the vertex/voxel-wise mean and
dividing by the standard deviation, or something else?

Not quite - these are "z-stats" as output by MELODIC ICA tool in FSL (see
Beckmann IEEE TMI 2004).  The simple answer is that the ICA maps are fed
into a mixture model to normalise the central/null part of the distribution
across voxels.

2.       When I click on the map and Information Window pops up, it shows
two SCALAR values for the selected vertex. For example:

 VERTEX CortexLeft: 28165
    ANATOMICAL XYZ: -6.28827, 59.2204, -0.919904
    CIFTI SCALARS melodic_IC.dscalar.nii: 0.935668 -0.20834

What do these two numbers 0.935668 and -0.20834 actually mean? I though
there should be just one number corresponding to the Zstat of the vertex.

I don't know - when I try this I only get a single number.  Do you have
multiple similarly-named images loaded maybe?

3.       It appears that melodic_IC_ftb.dlabel.nii provides a hard
non-overlapping parcellation and labels each parcel (which could consist of
several spatially separated regions) by a color. The number of parcels
corresponds to the ICA dimension, 25 in this case.  How is this parcellation
obtained? How is the set of spatially continuous/diffusive maps of
individual ICs give rise to this parcellation with sharp non-overlapping
borders and without any gaps between the neighboring parcels?

 

"ftb" - "find the biggest" - at each grayordinate the index number of the
ICA component map having the highest value there is used.

 

Cheers, Steve.

 

 

 





 

Thank you very much for your help.

 

Bagrat

 

Bagrat Amirikian, Ph.D.

Department of Neuroscience

University of Minnesota Medical School

 

Brain Sciences Center

Minneapolis Veterans Affairs Health Care System

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