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Fumiko,

 

I'm not convinced that this outcome is primarily due to the mismatch
between the characteristics of your study population and the template
(although it might be aggravated by it):

Is it possible that you didn't set the origin before preprocessing the
data? In our experience the unified segmentation approach is pretty
vulnerable to end up with such deformed results if you don't give the
program a reasonable starting point. Assuming that the data quality is
o.k., my best guess would be: reset the origin to AC, rerun data
preprocessing for these subjects, and you're done. 

If you work with very large sample sizes: Christian Gaser's wrote a tool
to check for sample inhomogenities of segmentation results that proved
to be very useful in this context. My colleague Fabio Sambataro adapted
the code so that it runs under SPM5, and added some other useful
features ([log in to unmask]).

 

Best,

Heike

 

 

Heike Tost, M.D. Ph.D.

Post-Doctoral Research Fellow

Unit for Systems Neuroscience in Psychiatry

Genes, Cognition, and Psychosis Program

National Institute of Mental Health, National Institutes of Health
10-3C103, 9000 Rockville Pike, Bethesda, MD 20892, USA
Phone: 301-594-9514, Fax: 301-480-0169 

________________________________

From: Fumiko Hoeft [mailto:[log in to unmask]] 
Sent: Tuesday, April 24, 2007 2:56 PM
To: [log in to unmask]
Subject: [SPM] VBM5 problem in young children

 

Dear experts,

We are performing VBM5 (Dr. Christian Gasser's scripts) in SPM5.

The ages of the subjects are 1-3 years old.

The segmented images come out like this (please see attached jpg of
brains with modulation, segmentation and normalization applied; the left
brain is the one with the problem, the right brain is for comparison).

Can you give us some suggestions on how we can improve the segmentation?

Thank you in advance.

Best,

Fumiko

-- 
Fumiko Hoeft, MD, PhD
Stanford University School of Medicine
Center for Interdisciplinary Brain Sciences Research
401 Quarry Rd. Stanford CA USA 94305-5795
Tel: +1 (650) 245-7016
Fax: +1 (650) 724-4794
Email: [log in to unmask] 
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