Thank you Steve for further clarifications.

 

Melodic help explains how to apply melodic’s mixture modelling to a statistic 
image without actually re-running ICA. HCP500_Parcellation_Timeseries_Netmats 
data provide ‘melodic_IC_sum.nii.gz’ files for each dimensionality of group-ICA 
parcellation.

I wonder, is it possible to use a ‘melodic_IC_sum.nii.gz’ file as input to 
melodic to carry out mixture modelling with a specified value for 
mixture-model-based thresholding? For example, by running command lines:

 

echo “1” > grot.txt

 

melodic -i melodic_IC_sum.nii.gz --ICs= melodic_IC_sum.nii.gz --mix=grot.txt -o 
‘outDir’ --Oall --report -v --mmthresh=0.5

 

will this generate properly thresholded images for each component corresponding 
to the 0.5 posterior probability activation? If yes, how then these images (a 
number of ‘thresh_zstat*.nii.gz’ files) can be merged into a single 
‘*.dscalar.nii’ file analogous to the format of the provided unthresholded 
Zstats ‘melodic_IC.dscalar.nii’ files that can be viewed in wb_view?

 

Cheers,

 

Bagrat

 

From: Stephen Smith [mailto:st...@fmrib.ox.ac.uk] 
Sent: Saturday, December 05, 2015 4:21 AM
To: Bagrat Amirikian; hcp-users
Subject: Re: [HCP-Users] group-ICA spatial maps

 

Hi

 

On 3 Dec 2015, at 20:27, Bagrat Amirikian <amiri...@umn.edu> wrote:

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? 

 

If you run melodic with all output options turned on, you can find various 
things relating to the mixture-model fitting and related thresholding (for the 
web report images).  However for these HCP group-ICA maps, no thresholding was 
applied (eg when using these as "parcellations" for generating the node 
timeseries.





 

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? 

 

Sorry I'm not a wb_view expert so would need someone else to comment on that.

 

Cheers, Steve.

 

 

 





 

3. Thanks for the explanation.

 

Cheers,

 

Bagrat

 

 

From: Stephen Smith [ <mailto:st...@fmrib.ox.ac.uk> 
mailto:st...@fmrib.ox.ac.uk] 
Sent: Thursday, December 03, 2015 2:43 AM
To: Bagrat Amirikian
Cc:  <mailto:hcp-users@humanconnectome.org> hcp-users@humanconnectome.org
Subject: Re: [HCP-Users] group-ICA spatial maps

 

Hi

 

On 3 Dec 2015, at 04:24, Bagrat Amirikian < <mailto:amiri...@umn.edu> 
amiri...@umn.edu> 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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+44 (0) 1865 222726  (fax 222717)
 <mailto:st...@fmrib.ox.ac.uk> st...@fmrib.ox.ac.uk     
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Stephen M. Smith, Professor of Biomedical Engineering
Head of Analysis,  Oxford University FMRIB Centre

FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
+44 (0) 1865 222726  (fax 222717)
st...@fmrib.ox.ac.uk    http://www.fmrib.ox.ac.uk/~steve

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