Are there any examples available for how to use this, possibly? I have been
trying to figure these out, but there are a lot of options and I am just not
able to decipher how to use these from the help page alone. The errors I am
getting also do not clarify what I need to do to get the output I am looking
Before using this kind of multi-band data I had been using afni. To give an
example of what I would want to do in terms of afni commands (if that’s any
help), I would have saved all ROIs and then used 3dmaskave to extract mean beta
weights for a given GLM beta for each subject and then I would relate those
beta weights so subject’s behavior in R or another stats package.
Definitely agree that there’s not much meaning to a peak coordinate per se. I’m
just trying to figure out how to report the clusters I am finding. In previous
reports we would typically focus on broadmann areas or more general regional
nomenclature (i.e. vmPFC, mid temporal lobe, etc.). Some of the clusters I’m
finding also cover large areas from motor to visual cortex, so I am trying to
consider good ways to report that.
At this point I would prefer to use TFCE or some other thresholding method to
identify contiguous swaths of volumetric and surface activation.
Thank you very much again,
On Sep 19, 2016, at 6:41 PM, Timothy Coalson
On Mon, Sep 19, 2016 at 4:51 PM, Michael F.W. Dreyfuss
How can I turn the ROIs into a label file?
You can use -cifti-find-clusters if you just want spatial contiguity to define
where ROIs should be considered separate, then use -cifti-label-import to make
them into a dlabel file.
Also, how can I simply get a list of the ROIs with some information like
cluster extent and peak voxel to be able to identify what part(s) of the brain
each ROI is covering?
A single coordinate isn't a faithful representation of the cluster. You can
make a figure showing the clusters displayed on the brain (for instance, choose
two of: beta maps, significance outlines, area outlines), and hopefully also
provide the unthresholded beta and z maps for others to use.
You can get cluster extent info with -cifti-weighted-stats.
If the question you want to ask is "which areas are involved", you could do a
parcellated analysis instead of a cluster analysis.
From: Timothy Coalson <tsc...@mst.edu<mailto:tsc...@mst.edu>>
Sent: Monday, September 19, 2016 4:48:28 PM
To: Michael F.W. Dreyfuss
Subject: Re: [HCP-Users] ROIs and Betas from Cifti Data
The wb_command -cifti-weighted-stats command with -mean is probably what you
want (outputs a number to the command line), though you'll need to have each
ROI as a separate file and run it separately for each of them. Alternatively,
if you turned the ROIs into a label file, you could get -cifti-parcellate to
make a file where each parcel contains the answer for an ROI.
On Mon, Sep 19, 2016 at 3:26 PM, Michael F.W. Dreyfuss
Hello, I have run palm with TFCE on my group level data successfully for a task
based fMRI study (yay!), and I would like to be able to identify ROIs from my
cifti data (both surface and volume). I then want to extract subject level beta
weights for a given condition from those ROIs to relate those betas to behavior
(offline). Are there simple ways to: 1) identify regions implicated on the
group level and 2) extract subject-level beta weights from them, such as with
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