Re: [Freesurfer] Differences on baseline volumes within subject cross-sectional vs longitudinal processing

2013-06-28 Thread Koolschijn , Cédric
Hi Martin,

Unfortunately it is not a single subject, it happens to many.
If I run FS 5.3, I also have to rerun the cross-sectional exploration study, 
otherwise differences between samples may be explained by different versions of 
the software.
FYI, no editting was done, except for adjusting watershed parameters for a 
couple of subjects due to excessive skullstripping. After checking, i reran 
independent autorecon2+3, base + long for the affected pairs.

I'll get back to you when results of FS 5.3 are available.

Cheers,
Cédric


On 6/28/13 2:43 AM, Martin Reuter 
mreu...@nmr.mgh.harvard.edumailto:mreu...@nmr.mgh.harvard.edu wrote:

Hi Cedric,

Yes, that is too much difference. Something is going wrong. Is this a single 
subject or does it happen on many? Can you try FS 5.3 on the subject to see if 
that fixes it (in a different directory of course)?

It may also be that something goes wrong and needs edits. Or it could be that 
something got messed up by edits or re-running. So you could also process this 
subjects from scratch again (all tps cross, then base, then all tps long).

Best, Martin

On 06/25/2013 03:43 PM, Koolschijn, Cédric wrote:
Hi Martin,

Thanks for your fast response.
It makes sense that in the longi-stream results should be more reliable.

However, it worries me if I see segmentation differences up to 500%, for 
example amygdala volume going from 1475 to 503 Left and 1595 to 281 for Right, 
independent vs longitudinal stream respectively.
In the current study we had a cross-sectional exploration study, followed by a 
longitudinal validation study (so two different samples). The above worries me 
if we want to compare the cross-sectional results with the longitudinal 
results, as the differences between independent and longitudinal are in a 
linear fashion.

Any thoughts on this?

Cheers,
Cédric




From: Martin Reuter 
mreu...@nmr.mgh.harvard.edumailto:mreu...@nmr.mgh.harvard.edu
Date: Tuesday, June 25, 2013 8:00 PM
To: Cédric Koolschijn 
p.c.m.p.koolsch...@uva.nlmailto:p.c.m.p.koolsch...@uva.nl
Cc: freesurfer@nmr.mgh.harvard.edumailto:freesurfer@nmr.mgh.harvard.edu 
freesurfer@nmr.mgh.harvard.edumailto:freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Differences on baseline volumes within subject 
cross-sectional vs longitudinal processing

Hi Cedric,

this is as expected, the data changes when using the longitudinal stream (it 
will become more reliable, removing some of the variance you get in the 
independent processing). Becuase of the different processing approaches, the 
results from independent processing (cross) and long will not be directly 
comparable.

Cheers, Martin


On 06/25/2013 04:02 AM, Koolschijn, Cédric wrote:
Hi FreeSurfers,

I ran the longitudinal processing pipeline on my subjects, FS 5.0.
Following the tutorial, first independently, then base, then long etc. 
Everything works well,  no problems there.

Out of curiosity I compared the asegstats  aparcstats within subject at 
baseline (i.e. The same timepoint): so the independent fsid vs the 
same_fsid.long.same_fsid_template, and there are (large) differences between 
all volumes/thicknesses. The independent measures are in almost all brain areas 
larger compared to those derived from the longi-stream. Except for the IC, 
which is completely the same, but of course, this measure is based on the 
Buckner method and calculated differently.

Overall this seems a bit strange to me, because I believe there shouldn't be 
differences within subject on the same time-point.
Is this the result of the within-subject template use for the longitudinal data 
or is something else going wrong, or is this normal?

Many thanks!

Cheers,
Cédric


P.C.M.P. Koolschijn (Cédric), PhD
Dutch Autism  ADHD Research Center
Brain and Cognition
Amsterdam, The Netherlands
E p.c.m.p.koolsch...@uva.nlmailto:p.c.m.p.koolsch...@uva.nl
W http://www.dutcharc.nl




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--
Martin Reuter, Ph.D.
Assistant in Neuroscience - Massachusetts General Hospital
Instructor in Neurology   - Harvard Medical School
MGH / HMS / MIT

A.A.Martinos Center for Biomedical Imaging
149 Thirteenth Street, Suite 2301
Charlestown, MA 02129

Phone: +1-617-724-5652
Email:
   mreu...@nmr.mgh.harvard.edumailto:mreu...@nmr.mgh.harvard.edu
   reu...@mit.edumailto:reu...@mit.edu
Web  : http://reuter.mit.edu

The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
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Re: [Freesurfer] Differences on baseline volumes within subject cross-sectional vs longitudinal processing

2013-06-28 Thread Bruce Fischl

can you send us an example with a 500% increase?
On Fri, 28 Jun 2013, 
Koolschijn, Cédric wrote:



Hi Martin,

Unfortunately it is not a single subject, it happens to many.
If I run FS 5.3, I also have to rerun the cross-sectional exploration study,
otherwise differences between samples may be explained by different versions
of the software.
FYI, no editting was done, except for adjusting watershed parameters for a
couple of subjects due to excessive skullstripping. After checking, i reran
independent autorecon2+3, base + long for the affected pairs.

I'll get back to you when results of FS 5.3 are available.

Cheers,
Cédric


On 6/28/13 2:43 AM, Martin Reuter mreu...@nmr.mgh.harvard.edu wrote:

  Hi Cedric,

  Yes, that is too much difference. Something is going wrong. Is
  this a single subject or does it happen on many? Can you try FS
  5.3 on the subject to see if that fixes it (in a different
  directory of course)?

  It may also be that something goes wrong and needs edits. Or it
  could be that something got messed up by edits or re-running. So
  you could also process this subjects from scratch again (all tps
  cross, then base, then all tps long).

  Best, Martin

  On 06/25/2013 03:43 PM, Koolschijn, Cédric wrote:
  Hi Martin,

Thanks for your fast response.
It makes sense that in the longi-stream results should be more
reliable. 

However, it worries me if I see segmentation differences up to
500%, for example amygdala volume going from 1475 to 503 Left
and 1595 to 281 for Right, independent vs longitudinal stream
respectively.
In the current study we had a cross-sectional exploration study,
followed by a longitudinal validation study (so two different
samples). The above worries me if we want to compare the
cross-sectional results with the longitudinal results, as the
differences between independent and longitudinal are in a linear
fashion.

Any thoughts on this?

Cheers,
Cédric




From: Martin Reuter mreu...@nmr.mgh.harvard.edu
Date: Tuesday, June 25, 2013 8:00 PM
To: Cédric Koolschijn p.c.m.p.koolsch...@uva.nl
Cc: freesurfer@nmr.mgh.harvard.edu
freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Differences on baseline volumes within
subject cross-sectional vs longitudinal processing

  Hi Cedric,

  this is as expected, the data changes when using the
  longitudinal stream (it will become more reliable,
  removing some of the variance you get in the
  independent processing). Becuase of the different
  processing approaches, the results from independent
  processing (cross) and long will not be directly
  comparable.

  Cheers, Martin


  On 06/25/2013 04:02 AM, Koolschijn, Cédric wrote:
  Hi FreeSurfers,

I ran the longitudinal processing pipeline on my
subjects, FS 5.0. 
Following the tutorial, first independently, then
base, then long etc. Everything works well,  no
problems there.

Out of curiosity I compared the asegstats 
aparcstats within subject at baseline (i.e. The same
timepoint): so the independent fsid vs the
same_fsid.long.same_fsid_template, and there are
(large) differences between all volumes/thicknesses.
The independent measures are in almost all brain
areas larger compared to those derived from the
longi-stream. Except for the IC, which is completely
the same, but of course, this measure is based on
the Buckner method and calculated differently.

Overall this seems a bit strange to me, because I
believe there shouldn't be differences within
subject on the same time-point. 
Is this the result of the within-subject template
use for the longitudinal data or is something else
going wrong, or is this normal?

Many thanks!

Cheers,
Cédric


P.C.M.P. Koolschijn (Cédric), PhD
Dutch Autism  ADHD Research Center
Brain and Cognition
Amsterdam, The Netherlands
E p.c.m.p.koolsch...@uva.nl
W http://www.dutcharc.nl  


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addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
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Re: [Freesurfer] Differences on baseline volumes within subject cross-sectional vs longitudinal processing

2013-06-28 Thread Dov Sadan
It would be very interesting to know if this issue also happed in 5.3.


On Fri, Jun 28, 2013 at 1:28 PM, Koolschijn, Cédric 
p.c.m.p.koolsch...@uva.nl wrote:

  Hi Martin,

  Unfortunately it is not a single subject, it happens to many.
 If I run FS 5.3, I also have to rerun the cross-sectional exploration
 study, otherwise differences between samples may be explained by different
 versions of the software.
 FYI, no editting was done, except for adjusting watershed parameters for a
 couple of subjects due to excessive skullstripping. After checking, i reran
 independent autorecon2+3, base + long for the affected pairs.

  I'll get back to you when results of FS 5.3 are available.

  Cheers,
 Cédric


   On 6/28/13 2:43 AM, Martin Reuter mreu...@nmr.mgh.harvard.edu wrote:

   Hi Cedric,

 Yes, that is too much difference. Something is going wrong. Is this a
 single subject or does it happen on many? Can you try FS 5.3 on the subject
 to see if that fixes it (in a different directory of course)?

 It may also be that something goes wrong and needs edits. Or it could be
 that something got messed up by edits or re-running. So you could also
 process this subjects from scratch again (all tps cross, then base, then
 all tps long).

 Best, Martin


 On 06/25/2013 03:43 PM, Koolschijn, Cédric wrote:

 Hi Martin,

  Thanks for your fast response.
 It makes sense that in the longi-stream results should be more reliable.

  However, it worries me if I see segmentation differences up to 500%, for
 example amygdala volume going from 1475 to 503 Left and 1595 to 281 for
 Right, independent vs longitudinal stream respectively.
 In the current study we had a cross-sectional exploration study, followed
 by a longitudinal validation study (so two different samples). The above
 worries me if we want to compare the cross-sectional results with the
 longitudinal results, as the differences between independent and
 longitudinal are in a linear fashion.

  Any thoughts on this?

  Cheers,
 Cédric




   From: Martin Reuter mreu...@nmr.mgh.harvard.edu
 Date: Tuesday, June 25, 2013 8:00 PM
 To: Cédric Koolschijn p.c.m.p.koolsch...@uva.nl
 Cc: freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edu
 Subject: Re: [Freesurfer] Differences on baseline volumes within subject
 cross-sectional vs longitudinal processing

   Hi Cedric,

 this is as expected, the data changes when using the longitudinal stream
 (it will become more reliable, removing some of the variance you get in the
 independent processing). Becuase of the different processing approaches,
 the results from independent processing (cross) and long will not be
 directly comparable.

 Cheers, Martin


 On 06/25/2013 04:02 AM, Koolschijn, Cédric wrote:

 Hi FreeSurfers,

  I ran the longitudinal processing pipeline on my subjects, FS 5.0.
 Following the tutorial, first independently, then base, then long
 etc. Everything works well,  no problems there.

  Out of curiosity I compared the asegstats  aparcstats within subject at
 baseline (i.e. The same timepoint): so the independent fsid vs the
 same_fsid.long.same_fsid_template, and there are (large) differences
 between all volumes/thicknesses. The independent measures are in almost all
 brain areas larger compared to those derived from the longi-stream. Except
 for the IC, which is completely the same, but of course, this measure is
 based on the Buckner method and calculated differently.

  Overall this seems a bit strange to me, because I believe there
 shouldn't be differences within subject on the same time-point.
 Is this the result of the within-subject template use for the longitudinal
 data or is something else going wrong, or is this normal?

  Many thanks!

  Cheers,
 Cédric

   
  P.C.M.P. Koolschijn (Cédric), PhD
  Dutch Autism  ADHD Research Center
  Brain and Cognition
 Amsterdam, The Netherlands
 *E *p.c.m.p.koolsch...@uva.nl
 *W *http://www.dutcharc.nl



 ___
 Freesurfer mailing 
 listfreesur...@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer


 --
 Martin Reuter, Ph.D.
 Assistant in Neuroscience - Massachusetts General Hospital
 Instructor in Neurology   - Harvard Medical School
 MGH / HMS / MIT

 A.A.Martinos Center for Biomedical Imaging
 149 Thirteenth Street, Suite 2301
 Charlestown, MA 02129

 Phone: +1-617-724-5652
 Email:
mreu...@nmr.mgh.harvard.edu
reu...@mit.edu
 Web  : http://reuter.mit.edu

 The information in this e-mail is intended only for the person to whom it
 is

 addressed. If you believe this e-mail was sent to you in error and the
 e-mail
 contains patient information, please contact the Partners Compliance
 HelpLine at
 http://www.partners.org/complianceline . If the e-mail was sent to you in
 error
 but does not contain patient information, please contact the sender and
 properly
 dispose of the e-mail.


 --
 Martin Reuter, Ph.D

Re: [Freesurfer] Differences on baseline volumes within subject cross-sectional vs longitudinal processing

2013-06-26 Thread MCLAREN, Donald
This raises an interesting question.

Given that the longitudinal process is more reliable, if we collect 2 scans
on the same day, should we average those scans and then submit to
Freesurfer or apply Freesurfer first and then create an average of the
metrics from the longitudinal pipeline?

Best Regards, Donald McLaren
=
D.G. McLaren, Ph.D.
Research Fellow, Department of Neurology, Massachusetts General Hospital and
Harvard Medical School
Postdoctoral Research Fellow, GRECC, Bedford VA
Website: http://www.martinos.org/~mclaren
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, Jun 25, 2013 at 2:00 PM, Martin Reuter
mreu...@nmr.mgh.harvard.eduwrote:

  Hi Cedric,

 this is as expected, the data changes when using the longitudinal stream
 (it will become more reliable, removing some of the variance you get in the
 independent processing). Becuase of the different processing approaches,
 the results from independent processing (cross) and long will not be
 directly comparable.

 Cheers, Martin



 On 06/25/2013 04:02 AM, Koolschijn, Cédric wrote:

 Hi FreeSurfers,

  I ran the longitudinal processing pipeline on my subjects, FS 5.0.
 Following the tutorial, first independently, then base, then long
 etc. Everything works well,  no problems there.

  Out of curiosity I compared the asegstats  aparcstats within subject at
 baseline (i.e. The same timepoint): so the independent fsid vs the
 same_fsid.long.same_fsid_template, and there are (large) differences
 between all volumes/thicknesses. The independent measures are in almost all
 brain areas larger compared to those derived from the longi-stream. Except
 for the IC, which is completely the same, but of course, this measure is
 based on the Buckner method and calculated differently.

  Overall this seems a bit strange to me, because I believe there
 shouldn't be differences within subject on the same time-point.
 Is this the result of the within-subject template use for the longitudinal
 data or is something else going wrong, or is this normal?

  Many thanks!

  Cheers,
 Cédric

  
 P.C.M.P. Koolschijn (Cédric), PhD
 Dutch Autism  ADHD Research Center
 Brain and Cognition
 Amsterdam, The Netherlands
 *E *p.c.m.p.koolsch...@uva.nl
 *W *http://www.dutcharc.nl



 ___
 Freesurfer mailing 
 listfreesur...@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer


 --
 Martin Reuter, Ph.D.
 Assistant in Neuroscience - Massachusetts General Hospital
 Instructor in Neurology   - Harvard Medical School
 MGH / HMS / MIT

 A.A.Martinos Center for Biomedical Imaging
 149 Thirteenth Street, Suite 2301
 Charlestown, MA 02129

 Phone: +1-617-724-5652
 Email:
mreu...@nmr.mgh.harvard.edu
reu...@mit.edu
 Web  : http://reuter.mit.edu


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 is
 addressed. If you believe this e-mail was sent to you in error and the
 e-mail
 contains patient information, please contact the Partners Compliance
 HelpLine at
 http://www.partners.org/complianceline . If the e-mail was sent to you in
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 properly
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Re: [Freesurfer] Differences on baseline volumes within subject cross-sectional vs longitudinal processing

2013-06-26 Thread Martin Reuter
You should take the better of the two images (the one without motion 
artifacts).


Cheers, Martin


On 06/26/2013 11:06 AM, MCLAREN, Donald wrote:

This raises an interesting question.

Given that the longitudinal process is more reliable, if we collect 2 
scans on the same day, should we average those scans and then submit 
to Freesurfer or apply Freesurfer first and then create an average of 
the metrics from the longitudinal pipeline?


Best Regards, Donald McLaren
=
D.G. McLaren, Ph.D.
Research Fellow, Department of Neurology, Massachusetts General 
Hospital and

Harvard Medical School
Postdoctoral Research Fellow, GRECC, Bedford VA
Website: http://www.martinos.org/~mclaren 
http://www.martinos.org/%7Emclaren

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, Jun 25, 2013 at 2:00 PM, Martin Reuter 
mreu...@nmr.mgh.harvard.edu mailto:mreu...@nmr.mgh.harvard.edu wrote:


Hi Cedric,

this is as expected, the data changes when using the longitudinal
stream (it will become more reliable, removing some of the
variance you get in the independent processing). Becuase of the
different processing approaches, the results from independent
processing (cross) and long will not be directly comparable.

Cheers, Martin



On 06/25/2013 04:02 AM, Koolschijn, Cédric wrote:

Hi FreeSurfers,

I ran the longitudinal processing pipeline on my subjects, FS 5.0.
Following the tutorial, first independently, then base, then long
etc. Everything works well,  no problems there.

Out of curiosity I compared the asegstats  aparcstats within
subject at baseline (i.e. The same timepoint): so the independent
fsid vs the same_fsid.long.same_fsid_template, and there are
(large) differences between all volumes/thicknesses. The
independent measures are in almost all brain areas larger
compared to those derived from the longi-stream. Except for the
IC, which is completely the same, but of course, this measure is
based on the Buckner method and calculated differently.

Overall this seems a bit strange to me, because I believe there
shouldn't be differences within subject on the same time-point.
Is this the result of the within-subject template use for the
longitudinal data or is something else going wrong, or is this
normal?

Many thanks!

Cheers,
Cédric


P.C.M.P. Koolschijn (Cédric), PhD
Dutch Autism  ADHD Research Center
Brain and Cognition
Amsterdam, The Netherlands
/E /p.c.m.p.koolsch...@uva.nl mailto:p.c.m.p.koolsch...@uva.nl
/W /http://www.dutcharc.nl



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-- 
Martin Reuter, Ph.D.

Assistant in Neuroscience - Massachusetts General Hospital
Instructor in Neurology   - Harvard Medical School
MGH / HMS / MIT

A.A.Martinos Center for Biomedical Imaging
149 Thirteenth Street, Suite 2301
Charlestown, MA 02129

Phone:+1-617-724-5652  tel:%2B1-617-724-5652
Email:
mreu...@nmr.mgh.harvard.edu  mailto:mreu...@nmr.mgh.harvard.edu
reu...@mit.edu  mailto:reu...@mit.edu
Web  :http://reuter.mit.edu  



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whom it is
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the e-mail
contains patient information, please contact the Partners
Compliance HelpLine at
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you in error
but does not contain patient information, please contact the
sender and properly
dispose of the e-mail.




--
Martin Reuter, Ph.D.
Assistant in Neuroscience - Massachusetts General Hospital
Instructor in Neurology   - Harvard Medical School
MGH / HMS / MIT


[Freesurfer] Differences on baseline volumes within subject cross-sectional vs longitudinal processing

2013-06-25 Thread Koolschijn , Cédric
Hi FreeSurfers,

I ran the longitudinal processing pipeline on my subjects, FS 5.0.
Following the tutorial, first independently, then base, then long etc. 
Everything works well,  no problems there.

Out of curiosity I compared the asegstats  aparcstats within subject at 
baseline (i.e. The same timepoint): so the independent fsid vs the 
same_fsid.long.same_fsid_template, and there are (large) differences between 
all volumes/thicknesses. The independent measures are in almost all brain areas 
larger compared to those derived from the longi-stream. Except for the IC, 
which is completely the same, but of course, this measure is based on the 
Buckner method and calculated differently.

Overall this seems a bit strange to me, because I believe there shouldn't be 
differences within subject on the same time-point.
Is this the result of the within-subject template use for the longitudinal data 
or is something else going wrong, or is this normal?

Many thanks!

Cheers,
Cédric


P.C.M.P. Koolschijn (Cédric), PhD
Dutch Autism  ADHD Research Center
Brain and Cognition
Amsterdam, The Netherlands
E p.c.m.p.koolsch...@uva.nlmailto:p.c.m.p.koolsch...@uva.nl
W http://www.dutcharc.nl

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The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you in error
but does not contain patient information, please contact the sender and properly
dispose of the e-mail.


Re: [Freesurfer] Differences on baseline volumes within subject cross-sectional vs longitudinal processing

2013-06-25 Thread Martin Reuter

Hi Cedric,

this is as expected, the data changes when using the longitudinal stream 
(it will become more reliable, removing some of the variance you get in 
the independent processing). Becuase of the different processing 
approaches, the results from independent processing (cross) and long 
will not be directly comparable.


Cheers, Martin


On 06/25/2013 04:02 AM, Koolschijn, Cédric wrote:

Hi FreeSurfers,

I ran the longitudinal processing pipeline on my subjects, FS 5.0.
Following the tutorial, first independently, then base, then long 
etc. Everything works well,  no problems there.


Out of curiosity I compared the asegstats  aparcstats within subject 
at baseline (i.e. The same timepoint): so the independent fsid vs the 
same_fsid.long.same_fsid_template, and there are (large) differences 
between all volumes/thicknesses. The independent measures are in 
almost all brain areas larger compared to those derived from the 
longi-stream. Except for the IC, which is completely the same, but of 
course, this measure is based on the Buckner method and calculated 
differently.


Overall this seems a bit strange to me, because I believe there 
shouldn't be differences within subject on the same time-point.
Is this the result of the within-subject template use for the 
longitudinal data or is something else going wrong, or is this normal?


Many thanks!

Cheers,
Cédric


P.C.M.P. Koolschijn (Cédric), PhD
Dutch Autism  ADHD Research Center
Brain and Cognition
Amsterdam, The Netherlands
/E /p.c.m.p.koolsch...@uva.nl mailto:p.c.m.p.koolsch...@uva.nl
/W /http://www.dutcharc.nl



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Martin Reuter, Ph.D.
Assistant in Neuroscience - Massachusetts General Hospital
Instructor in Neurology   - Harvard Medical School
MGH / HMS / MIT

A.A.Martinos Center for Biomedical Imaging
149 Thirteenth Street, Suite 2301
Charlestown, MA 02129

Phone: +1-617-724-5652
Email:
   mreu...@nmr.mgh.harvard.edu
   reu...@mit.edu
Web  : http://reuter.mit.edu

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Re: [Freesurfer] Differences on baseline volumes within subject cross-sectional vs longitudinal processing

2013-06-25 Thread Koolschijn , Cédric
Hi Martin,

Thanks for your fast response. Apologies for the second email, I forgot to 
include the mailinglist.

It makes sense that in the longi-stream results should be more reliable.

However, it worries me if I see segmentation differences up to 500%, for 
example amygdala volume going from 1475 to 503 Left and 1595 to 281 for Right, 
independent vs longitudinal stream respectively.
In the current study we had a cross-sectional exploration study, followed by a 
longitudinal validation study (so two different samples). The above worries me 
if we want to compare the cross-sectional results with the longitudinal 
results, as the differences between independent and longitudinal are in a 
linear fashion.

Any thoughts on this?

Cheers,
Cédric

From: Martin Reuter 
mreu...@nmr.mgh.harvard.edumailto:mreu...@nmr.mgh.harvard.edu
Date: Tuesday, June 25, 2013 8:00 PM
To: Cédric Koolschijn 
p.c.m.p.koolsch...@uva.nlmailto:p.c.m.p.koolsch...@uva.nl
Cc: freesurfer@nmr.mgh.harvard.edumailto:freesurfer@nmr.mgh.harvard.edu 
freesurfer@nmr.mgh.harvard.edumailto:freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Differences on baseline volumes within subject 
cross-sectional vs longitudinal processing

Hi Cedric,

this is as expected, the data changes when using the longitudinal stream (it 
will become more reliable, removing some of the variance you get in the 
independent processing). Becuase of the different processing approaches, the 
results from independent processing (cross) and long will not be directly 
comparable.

Cheers, Martin


On 06/25/2013 04:02 AM, Koolschijn, Cédric wrote:
Hi FreeSurfers,

I ran the longitudinal processing pipeline on my subjects, FS 5.0.
Following the tutorial, first independently, then base, then long etc. 
Everything works well,  no problems there.

Out of curiosity I compared the asegstats  aparcstats within subject at 
baseline (i.e. The same timepoint): so the independent fsid vs the 
same_fsid.long.same_fsid_template, and there are (large) differences between 
all volumes/thicknesses. The independent measures are in almost all brain areas 
larger compared to those derived from the longi-stream. Except for the IC, 
which is completely the same, but of course, this measure is based on the 
Buckner method and calculated differently.

Overall this seems a bit strange to me, because I believe there shouldn't be 
differences within subject on the same time-point.
Is this the result of the within-subject template use for the longitudinal data 
or is something else going wrong, or is this normal?

Many thanks!

Cheers,
Cédric


P.C.M.P. Koolschijn (Cédric), PhD
Dutch Autism  ADHD Research Center
Brain and Cognition
Amsterdam, The Netherlands
E p.c.m.p.koolsch...@uva.nlmailto:p.c.m.p.koolsch...@uva.nl
W http://www.dutcharc.nl




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--
Martin Reuter, Ph.D.
Assistant in Neuroscience - Massachusetts General Hospital
Instructor in Neurology   - Harvard Medical School
MGH / HMS / MIT

A.A.Martinos Center for Biomedical Imaging
149 Thirteenth Street, Suite 2301
Charlestown, MA 02129

Phone: +1-617-724-5652
Email:
   mreu...@nmr.mgh.harvard.edumailto:mreu...@nmr.mgh.harvard.edu
   reu...@mit.edumailto:reu...@mit.edu
Web  : http://reuter.mit.edu

The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
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