I downloaded group average functional correlation
file: HCP_S900_820_rfMRI_MSMAll_groupPCA_d4500ROW_zcorr.dconn.nii
Some diagonal elements of the square matrix (91282x91282) are infinite
(Please see below).
I want to use this matrix in ananalysis; however, I am not sure how to
understand or deal
Hello,
I read that out of the 1200 subjects, 184 have 7T data acquired in
addition to 3T. I tried searching for more information on these 184
but couldn't find any. Is there any information about their subject
IDs or is manually sifting through each one of them the only way to
know which subjects
Hi Brittany,
Sorry for the confusion. The codes for the "Menstrual_CycleLength", Average
length of participant's menstrual cycles in days data are 1=Less than 25 days,
2=Between 25-35 days, and 3=More than every 35 days.
Best,
Jenn
Jennifer Elam, Ph.D.
Scientific Outreach, Human Connectome
Dear hcp teams,
I sorry to bother you again with same problem.
I used default options and mounted data successfully. But when I checked
/s3/hcp, I found that data in it has only 900 subjects. Obviously, it's not the
latest 1200-release data.
Since I want to analyse the latest version of
Hello,
I have been using wb_command -cifti-parcellate to extract time series using
Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Colors.32k_fs_LR.dlabel.nii
(and R)
For subcortical areas, I see the border files, but not the dlabel.nii files on
https://balsa.wustl.edu/study/show/RVVG. Can
On Mon, May 15, 2017 at 8:48 AM, Irisqql0922 wrote:
> ...
> I use command:
> : > ~/.passwd-s3fs
>
If this is really the command you used, then it wouldn't work: you need
"echo" at the start of it, like this:
echo : > ~/.passwd-s3fs
Please look at the file's contents with
The HCP-MMP1.0 does not contain subcortical parcellations. This would be
future work. Others may be able to point you to some
cerebellum/subcortical parcellations from other works.
As for "borders": subcortical areas, which are represented as volume-based
structures, cannot have their
Per the name "zcorr", the correlation values have been z-transformed
(fisher's small z transform). I am somewhat confused as to why some
elements in the diagonal are not infinite. The "true" value of applying
this transform would be infinite on the entire diagonal, as arctanh(1) is
infinite. I
Only a few spaces remain for the 2017 HCP Course: "Exploring the Human
Connectome". For more info and to register:
https://store.humanconnectome.org/courses/2017/exploring-the-human-connectome.php
Don't forget to also reserve your accommodation for the course by May 17, 2017
to be sure of
Dear Qinqin Li,
Based on my checking so far, AWS credentials that give you access to the
HCP_900 section of the S3 bucket should also give you access to the
HCP_1200 section of the bucket.
One thing I would suggest is to go back to using the mount point
provided by the NITRC-CE-HCP
Hi,
I’m not sure what to make of those errors, but if the design.fsf doesn’t work
with FEAT, that suggests that something is wrong with it.
cheers,
-MH
--
Michael Harms, Ph.D.
---
Conte Center for the Neuroscience of Mental Disorders
Thank you for the response.
I am, too, confused by some being non-zero finite values, and others being
infinities.
Before computing a correlation matrix, if standardized by subtracting the
mean and scaling by variance, all diagonal elements should be exactly 1.
What I am concerned about is how
Hi all
Correct me if I'm wrong, but I believe that the HCP data has not yet had
physiological noise regressed out. From previous threads, it seems the
general consensus was that implementing this capability was being worked
on. Can we expect a Connectome Workbench tool for this any time soon?
Some physiological noise is regressed out through the ICA+FIX cleanup (where it
is part of the noise components). What is not regressed out is the global
physiological noise, e.g. related to respiration. We are indeed working on a
method for doing this in a data-driven (as opposed to using
Right.
Peace,
Matt.
From:
>
on behalf of Sang-Yun Oh >
Date: Tuesday, May 16, 2017 at 11:25 AM
To: Timothy Coalson >
Cc:
This makes more sense! Sorry I missed your mention of fisher-z transform
So I would apply tanh to each element to revert back to regular correlation
coefficients
Thank you for your help!
Best,
Sang
On Mon, May 15, 2017 at 5:57 PM Timothy Coalson wrote:
> After the fisher-z
I am also finding that some off-diagonal elements in this matrix are also
greater than 1 indicating this matrix is not a correlation matrix.
In [5]: img
Out[5]:
memmap([[ 8.66434002e+00, 1.96847185e-01, 1.66294336e-01, ...,
1.01449557e-01, 7.45474100e-02, 1.15624115e-01],
There are a variety of subcortical parcellations out there including these:
https://surfer.nmr.mgh.harvard.edu/fswiki/StriatumParcellation_Choi2012
http://www.freesurfer.net/fswiki/CerebellumParcellation_Buckner2011
These were made with a very different approach than the HCP’s multi-modal
After the fisher-z transform, you can have values greater than 1, see the
graph on the right:
https://en.wikipedia.org/wiki/Fisher_transformation
This is why the "correct" answer for the diagonal is infinity for the
"zcorr" file.
Tim
On Mon, May 15, 2017 at 7:51 PM, Sang-Yun Oh
Dear Qinqin Li,
First of all, you are correct that in using the latest version of the
NITRC-CE for HCP, the 900 subjects release is mounted at /s3/hcp. We
just recently got the data from the 1200 subjects release fully uploaded
to the S3 bucket. I am working with the NITRC folks to get the
Hi Tim,
I am glad to do the test, and I will let you how it goes :)
Best,
Qinqin Li
On 05/15/2017 23:07,Timothy B. Brown wrote:
Dear Qinqin Li,
First of all, you are correct that in using the latest version of the NITRC-CE
for HCP, the 900 subjects release is mounted
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