Well, there’s the canonical correlation analysis of rfMRI network edges vs. 
subject measures in:

http://www.ncbi.nlm.nih.gov/pubmed/26414616


cheers,

-MH


--
Michael Harms, Ph.D.
-----------------------------------------------------------
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave. Tel: 314-747-6173
St. Louis, MO  63110 Email: mha...@wustl.edu

From: Joelle Zimmermann 
<joelle.t.zimmerm...@gmail.com<mailto:joelle.t.zimmerm...@gmail.com>>
Date: Monday, May 1, 2017 at 11:09 AM
To: Michael Harms <mha...@wustl.edu<mailto:mha...@wustl.edu>>
Cc: "Glasser, Matthew" <glass...@wustl.edu<mailto:glass...@wustl.edu>>, 
"hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Subject: Re: [HCP-Users] variation across connectomes

cool thank you. The MegaTrawl was done on the FC - subject measures only right? 
Is there any such analysis coming up for SC - subject measures?

On Sat, Apr 29, 2017 at 9:46 PM, Harms, Michael 
<mha...@wustl.edu<mailto:mha...@wustl.edu>> wrote:

Hi,
Have you read the documentation for the MegaTrawl?

cheers,
-MH

--
Michael Harms, Ph.D.
-----------------------------------------------------------
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave.Tel: 314-747-6173<tel:(314)%20747-6173>
St. Louis, MO  63110Email: mha...@wustl.edu<mailto:mha...@wustl.edu>

From: 
<hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>>
 on behalf of Joelle Zimmermann 
<joelle.t.zimmerm...@gmail.com<mailto:joelle.t.zimmerm...@gmail.com>>
Date: Saturday, April 29, 2017 at 10:30 AM
To: "Glasser, Matthew" <glass...@wustl.edu<mailto:glass...@wustl.edu>>
Cc: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>

Subject: Re: [HCP-Users] variation across connectomes

thanks Matt. Could you explain a bit the 'Correlation/prediction results for 
subject measures' ?

are those the measures that predict variation across subjects for the different 
components? which measures predict the variation most strongly?

apologies for the basic questions - im quite new to the technique.

On Sat, Apr 29, 2017 at 10:52 AM, Glasser, Matthew 
<glass...@wustl.edu<mailto:glass...@wustl.edu>> wrote:

Undoubtably.  Perhaps the megatrawl would be of interest:


https://db.humanconnectome.org/megatrawl/


Peace,


Matt.

________________________________
From: Joelle Zimmermann 
<joelle.t.zimmerm...@gmail.com<mailto:joelle.t.zimmerm...@gmail.com>>
Sent: Saturday, April 29, 2017 9:15:31 AM
To: Glasser, Matthew
Cc: hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>
Subject: Re: [HCP-Users] variation across connectomes

Not necessarily.. Just curious where the variation comes from whether it can be 
attributed to particular variables. I'm doing a PCA for variation across 
subject connectomes (for ex for SC), see a "common" component, but there are 
additional components, some of which for example correlate very strongly with 
age. And i want to check if there's other such variables that may explain some 
of the additional components.

Thanks,
Joelle

On Fri, Apr 28, 2017 at 6:12 PM, Glasser, Matthew 
<glass...@wustl.edu<mailto:glass...@wustl.edu>> wrote:
What is it that you are trying to do?  Control for uninteresting sources of 
variance?

Peace,

Matt.

From: 
<hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>>
 on behalf of Joelle Zimmermann 
<joelle.t.zimmerm...@gmail.com<mailto:joelle.t.zimmerm...@gmail.com>>
Date: Friday, April 28, 2017 at 2:17 PM
To: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Subject: [HCP-Users] variation across connectomes

Hi HCPers,

I'm looking at variation across SC and FC connectomes of subjects. I was 
wondering due to which variables we could potentially expect variability across 
subjects to arise?

I've looked into acquisition, fmri reconstruction version, and age as potential 
factors of variation. Any other reasonable ones?

Thanks,
Joelle

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