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> 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 <(314)%20747-6173>
> St. Louis, MO  63110 Email: mha...@wustl.edu
>
> From: <hcp-users-boun...@humanconnectome.org> on behalf of Joelle
> Zimmermann <joelle.t.zimmerm...@gmail.com>
> Date: Saturday, April 29, 2017 at 10:30 AM
> To: "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 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>
> wrote:
>
>> Undoubtably.  Perhaps the megatrawl would be of interest:
>>
>>
>> https://db.humanconnectome.org/megatrawl/
>>
>>
>> Peace,
>>
>>
>> Matt.
>> ------------------------------
>> *From:* Joelle Zimmermann <joelle.t.zimmerm...@gmail.com>
>> *Sent:* Saturday, April 29, 2017 9:15:31 AM
>> *To:* Glasser, Matthew
>> *Cc:* 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>
>> wrote:
>>
>>> What is it that you are trying to do?  Control for uninteresting 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" <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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>>>
>>>
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>>
>>
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>
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> Healthcare Information or other information of a sensitive nature. If you
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