.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 MegaTraw
alf 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-u
t;Glasser, Matthew" <glass...@wustl.edu>
> Cc: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
>
> Subject: Re: [HCP-Users] variation across connectomes
>
> thanks Matt. Could you explain a bit the 'Correlation/prediction results
> for subjec
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>>
-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
interesting sources
> of variance?
>
> Peace,
>
> Matt.
>
> From: <hcp-users-boun...@humanconnectome.org> on behalf of Joelle
> Zimmermann <joelle.t.zimmerm...@gmail.com>
> Date: Friday, April 28, 2017 at 2:17 PM
> To: "hcp-users@humanconnectome.org"
mmerm...@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
H
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