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:

Monospaced Font

LISTSERV Archives

LISTSERV Archives

SPM Home

SPM Home

SPM  2000

SPM 2000

Options

Subscribe or Unsubscribe

Subscribe or Unsubscribe

Log In

Log In

Get Password

Get Password

Subject:

help for % change in PET

From:

Badreddine Bencherif <[log in to unmask]>

Reply-To:

Badreddine Bencherif <[log in to unmask]>

Date:

Wed, 6 Dec 2000 12:30:57 -0500

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (117 lines)

Dear SPMers:
This follow my previous (too long) email where I did not get any reply.

I did a correlation study (PET on n=42, binding vs, con [1 0] and
[-1 0] for pos and neg correlations) with SPM96 and also SPM99 using
exactly same subjects, design

I obtained exactly the same regions and Z values.
I extracted voxel values in SPM96 (results, plot and then "y") and in
SPM99 (VOI, no adjustement for contrast for the data and xY.y or
equivalently Y since corrcoef(Y, xY.y) = 1)

The % change shown by plot of y (SPM96) against age
was significantly different (2 -3 time larger with SPM99 depending on
regions) from the
% change shown by plot of xY.y (or Y) in SPM99 against age.

In SPM99, y are the ADJUSTED data (blue) and Y the FITTED data (red)
AND in SPM96, y are the ADJUSTED data. I found, however that
Y(SPM99) the FITTED data (or xY.y) and NOT y(SPM99) the ADJUSTED
data displayed the highest correlation with y(SPM96) the ADJUSTED
data which ranged between 0.61 and 0.79.


Can someone explain why I cannot replicate the % change I found with SPM96
and equivalently how can I get the % change in SPM99. After looking
at SPM help I was not able to find the answer.

Thanks for your help
PS: If interested by details, below is my previous email after
correcting a mistake in region 2

Dear SPMers;

I analyzed the same set of data (n=42, correlation binding with age)
using SPM96 and SPM99 (my purpose was NOT a cross validation but I
wanted to report these results and others using a similar statistical
package SPM99). By doing that I realized that the % change I was
computing with SPM96 was almost half (1.74 less) than the one I
computed with SPM99.

I found that the intercept (b)and slope (m) (computed with Matlab)
were different between SPM96 (residual d.f. = 37) and SPM99 (residual
d.f. = 37) but were highly correlated.
The slopes and intercept obtained on 8 regions (placed on Z max, 7
regions of positive correlations and 1 negative correlation) with
SPM96 and SPM99 are:
  m99 = 1.7473 * m96 + 39.0830, r = 0.9965 AND b99 =3.1188* b96 -
2.9969, r= 0.9616.

Question A: is what slope and Intercept should I use to compute %
change in binding versus change in age since there is a 1.7 fold
change in slope between both SPM96 and SPM99. I guess that I should
use SPM99 but then why this very CONSISTENT discrepancy between SPM96
and SPM99.
Question B: why there is a high correlation between the m's
obtained with SPM96 and 99 (and between the b's).
Question C: The correlation coefficient for relatively low Z ( region
6 and 7, 4.23 and 3.92 ) or high Z( region 8, 7.38 and 7.77) shows
larger discrepancies compared to the very good reproducibility for
other regions although for region 8 there is also a large difference
in the computed Z value between SPM96 and SPM99 (but not enough (?)
to explain the differences in r) .

Below are the actual results.
POSITIVE CORRELATION
SPM96 and SPM99 showed exactly the same 7 regions, exactly the same Z
, same coordinates for max, minor discrepancy in the size of the
clusters in 3 of 7 regions.
I extracted voxel values in SPM96 ( results, plot and then "y") and
in SPM99 (VOI, no adjustement for contrast for the data and xY.y
since I found that xY.y obtained using no adjustement had the highest
correlation with SPM96 "y").
data are shown below as: SPM version (96 or 99) / Size k/ Z max/
Pearson correlation/ Slope (m) /Intercept 9b)
region1
96 k=752, Z=4.84, r= 0.7621, m=0.0106, b=1.0893
99 k=747, Z=4.84, r= 0.7523, m=0.0203, b=0.6796
region2
96 k=171, Z=4.45, r= 0.7008, m=0.0060, b=1.1782
99 k=171, Z=4.45, r= 0.6994, m=0.0145, b=0.8206
region3
96 k=239, Z=4.42, r= 0.7036, m=0.0071, b=1.3256
99 k=239, Z=4.42, r= 0.7068, m=0.0176, b=0.8807
region4
96 k=341, Z=4.41, r= 0.7144, m=0.0078, b=1.2544
99 k=330, Z=4.41, r= 0.7098, m=0.0174, b=0.8479
region5
96 k=671, Z=4.27, r= 0.6947, m=0.0067, b=1.3630
99 k=671, Z=4.27, r= 0.6903, m=0.0179, b=0.8887
region6
96 k=202, Z=4.23, r= 0.6510, m=0.0063, b=1.1039
99 k=201, Z=4.23, r= 0.6978, m=0.0152, b=0.73.07
region7
96 k=787, Z=3.92, r= 0.6244, m=0.0084, b=1.3569
99 k=748, Z=3.92, r= 0.6867, m=0.0173, b=0.9820
NEGATIVE CORRELATION
SPM96 and SPM99 showed the same large region
region8
96 k=8133, Z=7.38, r=-0.9199, m=-0.0186, b=2.0336
99 k=8101, Z=7.77, r=-0.7667, m=-0.0290, b=3.5813



--
Badreddine Bencherif, MD
Department of Radiology
Division of Nuclear Medicine
Johns Hopkins University School of Medicine
601 N. Caroline St. / JHOC 4230
Baltimore, MD 21287-0855

Phone : (410) 614-2787
Pager : (410) 283-2050
Fax : (410) 614-1977
email : [log in to unmask]

Top of Message | Previous Page | Permalink

JiscMail Tools


RSS Feeds and Sharing


Advanced Options


Archives

May 2024
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