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

Help for SPM Archives


SPM Archives

SPM Archives


SPM@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

SPM Home

SPM Home

SPM  2005

SPM 2005

Options

Subscribe or Unsubscribe

Subscribe or Unsubscribe

Log In

Log In

Get Password

Get Password

Subject:

still confused about effects of interest contrast weights

From:

Jan Gläscher <[log in to unmask]>

Reply-To:

Jan Gläscher <[log in to unmask]>

Date:

Tue, 25 Jan 2005 13:34:11 +0100

Content-Type:

multipart/signed

Parts/Attachments:

Parts/Attachments

text/plain (60 lines) , signature.asc (60 lines)

Dear Will and other SPM experts,

Thank you for you reply to my question about the scaling of contrast
weight in F-contrast last week.  I posted a follow-up question about
some practical implications of this scaling, but I got no answer.  So,
I thought of trying it again ...

Here is the follow-up question again that I posted a week ago.

On 2005-01-18 (Tue) at 09:49:54 +0100, Jan Gläscher <[log in to unmask]> wrote:
Dear Will,

thank you very much for your quick reply to my email.  Can I ask you
a follow-up question?

The background of my question was, that I quite often use an
F-contrast that spans only the regressors of real interest (specified
via 'columns for reduced design') and use it to plot parameter
estimates for these regressors at a particular voxel (using the
Plotting Util of spm_graph). However, as it turns out that the
contrast weights of this 'effect of real interest' F-contrast are also
scaled (and not equal to 1).  Since spm_graph plots c'*beta, I do not
obtain the true contrast estimate from the con-images, but rather
a somewhat "distorted" (scaled) value and the plot does not reflect
the underlying data.

Can you comment on this? Is it still OK to use the Plotting Util with
these kinds of F-contrast? How do you think about using these plots in
publications?  Or would it be more appropriate to extract the data
directly from the beta-image (e.g. with spm_get_data), which would be
equivalent to SPM.xCon.c'*beta if the contrast weight matrix contains
only 1's and 0's, and the proceed with plotting e.g. the mean
parameter estimate for the group?

On a more theoretical level I wonder why this scaling of contrast
weights is necessary at all. I always thought that the ReML algorithm
calculates the pre-whitening matrix W, which is then premultiplied with
all components of the GLM (data, design matrix, and error) prior to the
ML estimation of the betas.  This premultiplication rescales the design
matrix and compensates for non-sphericity.  Why is it then necessary to
scale the contrast weights of F-contrasts as well?

Thanks for your insights.
Jan


-- 
Jan Gläscher                           Neuroimage Nord
+49-40-42803-7890 (office)             Dept. of Neurology, Bldg S10
+49-40-42803-9955 (fax)                University Hospital Hamburg-Eppendorf
[log in to unmask]           Martinistr. 52
                                       20246 Hamburg
                                       Germany
http://www.uke.uni-hamburg.de/zentren/neuro/neurologie/mitarbeiter/glaescher_jan.html
--------------------------------------------------------------------------------------
GnuPG/PGP key id: FEC4B55C
fingerprint: 5A36 1EF6 8472 117E 805A  F240 3146 A410 FEC4 B55C
--------------------------------------------------------------------------------------

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
2000
1999
1998


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