Re: [HCP-Users] variation across connectomes

2017-05-01 Thread Stephen Smith 
Hi Michael - I think Joelle is asking about tractography instead of func conn.  
I expect it will be some time before fuller sets of tractography analyses have 
been done.
Cheers.


> On 2 May 2017, at 01:17, Harms, Michael <mha...@wustl.edu> wrote:
> 
> 
> Well, there’s the canonical correlation analysis of rfMRI network edges vs. 
> subject measures in:
> http://www.ncbi.nlm.nih.gov/pubmed/26414616 
> <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/ 
>>> <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 fo

Re: [HCP-Users] variation across connectomes

2017-05-01 Thread Harms, Michael 

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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The materials in this message are private and may contain Protected Healthcare 
Information or other i

Re: [HCP-Users] variation across connectomes

2017-05-01 Thread Joelle Zimmermann 
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
>>>
>>> ___
>>> HCP-Users mailing list
>>> HCP-Users@humanconnectome.org
>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>>
>>>
>>> --
>>>
>>> The materials in this message are private and may contain Protected
>>> Healthcare Information or other information of a sensitive nature. If you
>>> are not the intended recipient, be advised that any unauthorized use,
>>> disclosure, copying or the taking of any action in reliance on the contents
>>> of this information is strictly prohibited. If you have received this email
>>> in error, please immediately notify the sender via telephone or return mail.
>>>
>>
>>
>> --
>>
>> The materials in this message are private and may contain Protected
>> Healthcare Information or other information of a sensitive nature. If you
>> are not the intended recipient, be advised that any unauthorized use,
>> disclosure, copying or the taking of any action in reliance on the contents
>> of this i

Re: [HCP-Users] variation across connectomes

2017-04-29 Thread Harms, Michael 

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
St. Louis, MO  63110 Email: 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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The materials in this message are private and may contain Protected Healthcare 
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strictly prohibited. If you have received this email in error, please 
immediately notify the sender via telephone or return mail.



The materials in this message are private and may contain Protected Healthcare 
Information or other information of a sensitive nature. If you are not the 
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or the taking of any action in reliance on the contents of this information is 
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immediately notify the sender via telephone or return mail.


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Re: [HCP-Users] variation across connectomes

2017-04-29 Thread Glasser, Matthew 
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<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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The materials in this message are private and may contain Protected Healthcare 
Information or other information of a sensitive nature. If you are not the 
intended recipient, be advised that any unauthorized use, disclosure, copying 
or the taking of any action in reliance on the contents of this information is 
strictly prohibited. If you have received this email in error, please 
immediately notify the sender via telephone or return mail.



The materials in this message are private and may contain Protected Healthcare 
Information or other information of a sensitive nature. If you are not the 
intended recipient, be advised that any unauthorized use, disclosure, copying 
or the taking of any action in reliance on the contents of this information is 
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Re: [HCP-Users] variation across connectomes

2017-04-29 Thread Joelle Zimmermann 
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 
wrote:

> What is it that you are trying to do?  Control for uninteresting sources
> of variance?
>
> Peace,
>
> Matt.
>
> From:  on behalf of Joelle
> Zimmermann 
> Date: Friday, April 28, 2017 at 2:17 PM
> To: "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
>
> ___
> HCP-Users mailing list
> HCP-Users@humanconnectome.org
> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>
>
> --
>
> The materials in this message are private and may contain Protected
> Healthcare Information or other information of a sensitive nature. If you
> are not the intended recipient, be advised that any unauthorized use,
> disclosure, copying or the taking of any action in reliance on the contents
> of this information is strictly prohibited. If you have received this email
> in error, please immediately notify the sender via telephone or return mail.
>

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Re: [HCP-Users] variation across connectomes

2017-04-28 Thread Glasser, Matthew 
What is it that you are trying to do?  Control for uninteresting sources of 
variance?

Peace,

Matt.

From: 
>
 on behalf of Joelle Zimmermann 
>
Date: Friday, April 28, 2017 at 2:17 PM
To: "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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The materials in this message are private and may contain Protected Healthcare 
Information or other information of a sensitive nature. If you are not the 
intended recipient, be advised that any unauthorized use, disclosure, copying 
or the taking of any action in reliance on the contents of this information is 
strictly prohibited. If you have received this email in error, please 
immediately notify the sender via telephone or return mail.

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