Joelle et al.,

Other recent publication that are relevant include 
Power et al., 2016 (https://www.ncbi.nlm.nih.gov/pubmed/27751941)
Glasser et al., 2016 (https://www.ncbi.nlm.nih.gov/pubmed/27571196)
and references therein.

David

> On Jan 5, 2017, at 10:00 AM, Harms, Michael <[email protected]> wrote:
> 
> 
> Hi,
> There are differing opinions on the appropriateness of MGTR at the present 
> time (pending future alternatives).  You may be interested in the following 
> recent paper from Murphy and Fox:
> https://www.ncbi.nlm.nih.gov/pubmed/27888059 
> <https://www.ncbi.nlm.nih.gov/pubmed/27888059>
> 
> And, if you want to see some data on the effects of using it vs. not using it 
> in HCP data specifically, you can see the following paper:
> http://www.ncbi.nlm.nih.gov/pubmed/27571276 
> <http://www.ncbi.nlm.nih.gov/pubmed/27571276>
> 
> 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: [email protected]
> 
> From: <[email protected] 
> <mailto:[email protected]>> on behalf of "Glasser, 
> Matthew" <[email protected] <mailto:[email protected]>>
> Date: Thursday, January 5, 2017 at 11:50 AM
> To: Joelle Zimmermann <[email protected] 
> <mailto:[email protected]>>, Stephen Smith <[email protected] 
> <mailto:[email protected]>>
> Cc: "[email protected] <mailto:[email protected]>" 
> <[email protected] <mailto:[email protected]>>
> Subject: Re: [HCP-Users] global signal regression on HCP ICA FIX denoised 
> BOLD?
> 
> This is at your discretion, but we don’t typically recommend it.  We are 
> working on a better solution for global physiological noise that doesn’t 
> replace a positive bias in correlations with a negative one.  Another 
> alternative that avoids the issue is to use partial correlation.  
> 
> Peace,
> 
> Matt.
> 
> From: <[email protected] 
> <mailto:[email protected]>> on behalf of Joelle 
> Zimmermann <[email protected] 
> <mailto:[email protected]>>
> Date: Thursday, January 5, 2017 at 12:47 PM
> To: Stephen Smith <[email protected] <mailto:[email protected]>>
> Cc: "[email protected] <mailto:[email protected]>" 
> <[email protected] <mailto:[email protected]>>
> Subject: Re: [HCP-Users] global signal regression on HCP ICA FIX denoised 
> BOLD?
> 
> Thanks Stephen. Was there GSR done on the HCP data at any point for the 
> non-denoised version?
> 
> If I wanted to do GSR myself on the HCP data, are there any recommendations 
> that the HCP group has? Or global signal regressors that have been already 
> processed? Or is this something that is at the discretion of each researcher 
> afterwards?
> 
> On Thu, Jan 5, 2017 at 12:00 PM, Stephen Smith <[email protected] 
> <mailto:[email protected]>> wrote:
>> Yes,.
>> Cheers.
>> 
>> 
>>> On 5 Jan 2017, at 11:57, Joelle Zimmermann <[email protected] 
>>> <mailto:[email protected]>> wrote:
>>> 
>>> Hi HCPers,
>>> 
>>> Is it correct that global signal regression was not done on the ICA FIX 
>>> denoised fmri BOLD data?
>>> 
>>> Thanks,
>>> Joelle
>>> _______________________________________________
>>> HCP-Users mailing list
>>> [email protected] <mailto:[email protected]>
>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users 
>>> <http://lists.humanconnectome.org/mailman/listinfo/hcp-users>
>> 
>> ---------------------------------------------------------------------------
>> Stephen M. Smith, Professor of Biomedical Engineering
>> Head of Analysis,  Oxford University FMRIB Centre
>> 
>> FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
>> +44 (0) 1865 222726 <tel:+44%201865%20222726>  (fax 222717)
>> [email protected] <mailto:[email protected]>    
>> http://www.fmrib.ox.ac.uk/~steve <http://www.fmrib.ox.ac.uk/~steve>
>> ---------------------------------------------------------------------------
>> 
>> Stop the cultural destruction of Tibet <http://smithinks.net/>
>> 
>> 
>> 
>> 
>> 
> 
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