Hello Andrea,
> Christian said that using the Template_6_IXI550_MNI152.nii in the
> High-dimensional option of the Spatial normalization step allows us
> to skip the MNI normalization that is carried out in the original
> Dartel approach. Bc we have a pediatric sample, we ran the create
> Dartel template step with n=100 (we have unequal group sizes, so we
> randomly chose 20 subjects per group to match the n per group of the
> smallest group, i.e., to avoid bias by having unequal group sizes in
> the template: n=52, n=53, n=39, n=20, and n=20).
I am not sure this was the best approach as you could argue that, for
the smaller groups, subjects are favored as all have contributed, while
in the larger groups, some have not. This is perhaps a more conceptually
sound than practically relevant argument, but still, I would have simply
included all subjects (as just mentioned again yesterday).
> If they are not, what additional steps would you recommend carrying
> out to be able to view our results on an MNI brain and report in MNI
> space?
This is where I seem to have a lack of compassion: why is reporting in
MNI coordinates critical? If you choose an appropriate underlay (next)
you should be able to visualize your results in such a way that the
reader can appreciate size and location. After all the work of Simon
Eickhoff, Alexander Hammers and countless other colleagues, I am more
and more reluctant to believe that a number will unambiguously identify
a region which will then unambiguously tell you the function. I already
have severe doubts that this is the case for most of the "more
interesting" (i.e., higher cognitive) regions in the adult brain and am
even more skeptical when it comes to the developing brain. I may well be
old-fashioned and I know the argument about meta-analyses, but I am
still not convinced. It may be convenient, it looks scientific, and some
journals even require it, but that does not automatically make it a good
idea for all studies.
> Question2: Marko, I know you recommend NOT interpreting pediatric VBM
> results in MNI space
Yes, but just in case people have not noticed I went at it again :)
> - what would you recommend as an alternative to
> MNI canonical brains to use as an underlay for viewing our results?
> Would it be the "average" weighted brain output from TOM8 (e.g., we
> get T1_Template_Age13.493.img)? We get this when we input the age and
> sex of our subjects using the "average approach" in: TOM8 > Create
> new template > Write priors/template as single file or multiple files
> > *Priors for SPM8/VBM8 ‘new segment’ (*please note we did NOT input
> any of our T1 images in TOM8, only the age and sex vectors for our
> subjects).
This would be one way but it would be only an age-appropriate template,
not the age-appropriate template you used for processing. The latter
would be preferable in my opinion (say, the first volume of the final
DARTEL-template you ultimately used).
> Question3: We would like to be able to use small-volume corrections
> for a priori regions (amygdala, hippocampus, striatum regions) but it
> is unclear what to use for masks if the answer to Question1 above is
> that our results using a custom Dartel template are NOT in MNI
> space. Do you have any suggestions for alternative masks to use for
> small volume corrections for these subcortical structures?
You could either draw it by hand on the template you used or warp the
brain underlying the atlas in question to your brain. In the case of the
Hammersmith Atlas, you could even warp all 30 contributing images and
compute the intersection of the resulting masks. But again, these are
adult brains.
Cheers,
Marko
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PD Dr. med. Marko Wilke
Facharzt für Kinder- und Jugendmedizin
Leiter, Experimentelle Pädiatrische Neurobildgebung
Universitäts-Kinderklinik
Abt. III (Neuropädiatrie)
Marko Wilke, MD, PhD
Pediatrician
Head, Experimental Pediatric Neuroimaging
University Children's Hospital
Dept. III (Pediatric Neurology)
Hoppe-Seyler-Str. 1
D - 72076 Tübingen, Germany
Tel. +49 7071 29-83416
Fax +49 7071 29-5473
[log in to unmask]
http://www.medizin.uni-tuebingen.de/kinder/epn/
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