JiscMail Logo
Email discussion lists for the UK Education and Research communities

Help for FSL Archives


FSL Archives

FSL Archives


FSL@JISCMAIL.AC.UK


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

FSL Home

FSL Home

FSL  July 2011

FSL July 2011

Options

Subscribe or Unsubscribe

Subscribe or Unsubscribe

Log In

Log In

Get Password

Get Password

Subject:

Re: how to model two levels of dependence

From:

Michael Harms <[log in to unmask]>

Reply-To:

FSL - FMRIB's Software Library <[log in to unmask]>

Date:

Wed, 27 Jul 2011 15:25:08 -0500

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (232 lines)

Hi Donald,
Why do you say that it would probably be ok to not model and account for
familial relationships?  There are already emerging reports that
measures of functional brain connectivity are heritable. (Smit, Behav
Genet, 2010; Glahn, PNAS, 2010).

cheers,
-MH

On Wed, 2011-07-27 at 19:15 +0100, MCLAREN, Donald wrote:
> Not including family information would probably be okay as you could
> argue that the subjects are different and they were selected to be
> different from one and other.
> 
> 
> The sessions are not independent and not modelling session would be a
> violation of the statistical assumptions.
> 
> 
> Now if you have session in the model, then the group and/or covariate
> terms are invalid because of the wrong error term.
> 
> 
> Randomise won't really help in this case, because the exchangeability
> you need is between high/low not session1/session2.
> 
> 
> We might have a solution via SPM that we are testing and was the basis
> of my poster at HBM. Not sure if it would work in this case. I'm
> emailing a colleague to see if he has a solution.
> 
> Best Regards, Donald McLaren
> =================
> D.G. McLaren, Ph.D.
> Postdoctoral Research Fellow, GRECC, Bedford VA
> Research Fellow, Department of Neurology, Massachusetts General
> Hospital and 
> Harvard Medical School
> Office: (773) 406-2464
> =====================
> This e-mail contains CONFIDENTIAL INFORMATION which may contain
> PROTECTED 
> HEALTHCARE INFORMATION and may also be LEGALLY PRIVILEGED and which
> is 
> intended only for the use of the individual or entity named above. If
> the 
> reader of the e-mail is not the intended recipient or the employee or
> agent 
> responsible for delivering it to the intended recipient, you are
> hereby 
> notified that you are in possession of confidential and privileged 
> information. Any unauthorized use, disclosure, copying or the taking
> of any 
> action in reliance on the contents of this information is strictly 
> prohibited and may be unlawful. If you have received this e-mail 
> unintentionally, please immediately notify the sender via telephone at
> (773) 
> 406-2464 or email.
> 
> 
> 
> On Wed, Jul 27, 2011 at 11:44 AM, Diederick Stoffers
> <[log in to unmask]> wrote:
>         Hi guys,
>         
>         
>         Thanks for the advice. Averaging over twin pairs is not really
>         an option, the twins were specifically selected because they
>         were discordant on a certain psy scale. I could average over
>         sessions, but am hesitant to do so as the behavioural measure
>         I am interested in can be quite different over sessions; i
>         would lose a lot of power in my group comparison. 
>         
>         
>         If I were to go about this a different way; I would just do a
>         regression of fMRI activation over all sessions versus the
>         behavioural measure without including any information about
>         family ties or session and not averaging. I will lose some
>         power because I am not moddelling family ties and sessions,
>         but will gain by having more observations. 
>         
>         
>         A little extra background, this is actually resting-state data
>         on which I performed concatenated ICA and now want to do dual
>         regression and compare the resulting 160 spatial maps (80
>         subjects * 2 sessions) using randomise. Will the results be
>         valid if I don't include information on the dependencies?
>         
>         
>         Cheers,
>         
>         
>         Diederick
>         
>         
>         
>         
>         On 26 jul. 2011, at 20:28, Michael Harms wrote:
>         
>         > Hi Diederick,
>         > To my knowledge (someone please correct me if I'm wrong),
>         > there aren't any
>         > packages currently that can easily construct voxel-based
>         > maps in the
>         > context of the complicated variance relationships that one
>         > might want to
>         > model for sibling and/or twin studies.  However, if you have
>         > ROI-based
>         > data, you can import it into a package that allows one to
>         > specify
>         > covariance structures between subjects in a sibling pair,
>         > such as SAS's
>         > PROC MIXED.  I'm sure that R and SPSS have something
>         > equivalent as well.
>         > 
>         > cheers,
>         > -MH
>         > 
>         > 
>         > > You need to eliminate the repeated measurements.
>         > > 
>         > > The issue is that if you have between-subject effects and
>         > > within-subject
>         > > effects in the same model, then you only investigate the
>         > > within-subject
>         > > effects because the error term is for the within-subject
>         > > effects. Once
>         > > software becomes available to have multiple error terms
>         > > for the between
>         > > and
>         > > within-subject effects, then you'll not need to collapse
>         > > them.
>         > > 
>         > > Additionally, if you have more then one within-subject
>         > > effect, then you
>         > > can
>         > > only look at the interaction for the same reason.
>         > > 
>         > > Given these points, it seems that it would be best to
>         > > collapse (e.g.
>         > > average
>         > > your two conditions) to eliminate the repeated
>         > > measurement.
>         > > 
>         > > I'm not sure how you should deal with the twins not being
>         > > independent. I
>         > > would say average each twin pair, but that seems like it
>         > > would ruin your
>         > > research question.
>         > > 
>         > > 
>         > > Best Regards, Donald McLaren
>         > > =================
>         > > D.G. McLaren, Ph.D.
>         > > Postdoctoral Research Fellow, GRECC, Bedford VA
>         > > Research Fellow, Department of Neurology, Massachusetts
>         > > General Hospital
>         > > and
>         > > 
>         > > Harvard Medical School
>         > > Office: (773) 406-2464
>         > > =====================
>         > > This e-mail contains CONFIDENTIAL INFORMATION which may
>         > > contain PROTECTED
>         > > HEALTHCARE INFORMATION and may also be LEGALLY PRIVILEGED
>         > > and which is
>         > > intended only for the use of the individual or entity
>         > > named above. If the
>         > > reader of the e-mail is not the intended recipient or the
>         > > employee or
>         > > agent
>         > > responsible for delivering it to the intended recipient,
>         > > you are hereby
>         > > notified that you are in possession of confidential and
>         > > privileged
>         > > information. Any unauthorized use, disclosure, copying or
>         > > the taking of
>         > > any
>         > > action in reliance on the contents of this information is
>         > > strictly
>         > > prohibited and may be unlawful. If you have received this
>         > > e-mail
>         > > unintentionally, please immediately notify the sender via
>         > > telephone at
>         > > (773)
>         > > 
>         > > 406-2464 or email.
>         > > 
>         > > 
>         > > 
>         > > On Tue, Jul 26, 2011 at 3:31 PM, Diederick Stoffers
>         > > <[log in to unmask]>wrote:
>         > > 
>         > > > Hi all,
>         > > > 
>         > > > I have a group of 80 subjects (all dizygotic twins) from
>         > > > whom I have two
>         > > > fMRI measurements per subject. For all these subjects I
>         > > > also have a
>         > > > behavioural score per scan. I would like to compare
>         > > > scans associated
>         > > > with a
>         > > > high score with those with a low score, while correcting
>         > > > for the fact
>         > > > that
>         > > > measurements in dizygotic twins are not independent and
>         > > > measurements in
>         > > > the
>         > > > same subject are not independent. For now, I am not
>         > > >  interested in
>         > > > within-subject effects over scans.
>         > > > 
>         > > > I have been thinking how to best model this, but quite
>         > > > frankly I can't
>         > > > wrap
>         > > > my head around it and I wasn't able to deduce this from
>         > > > the mailing list
>         > > > or
>         > > > FSL site. Could anyone shed some light on how to set up
>         > > > my design
>         > > > matrix?
>         > > > 
>         > > > Thanks,
>         > > > 
>         > > > Diederick
>         > > > 
>         > > 
>         
>         
> 
> 

Top of Message | Previous Page | Permalink

JiscMail Tools


RSS Feeds and Sharing


Advanced Options


Archives

April 2024
March 2024
February 2024
January 2024
December 2023
November 2023
October 2023
September 2023
August 2023
July 2023
June 2023
May 2023
April 2023
March 2023
February 2023
January 2023
December 2022
November 2022
October 2022
September 2022
August 2022
July 2022
June 2022
May 2022
April 2022
March 2022
February 2022
January 2022
December 2021
November 2021
October 2021
September 2021
August 2021
July 2021
June 2021
May 2021
April 2021
March 2021
February 2021
January 2021
December 2020
November 2020
October 2020
September 2020
August 2020
July 2020
June 2020
May 2020
April 2020
March 2020
February 2020
January 2020
December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
2006
2005
2004
2003
2002
2001


JiscMail is a Jisc service.

View our service policies at https://www.jiscmail.ac.uk/policyandsecurity/ and Jisc's privacy policy at https://www.jisc.ac.uk/website/privacy-notice

For help and support help@jisc.ac.uk

Secured by F-Secure Anti-Virus CataList Email List Search Powered by the LISTSERV Email List Manager