Dear Christian,
Thank you very much for taking the time to answer my question. 
After tinkering a bit more I found that running 'normalization (estimate and write)' as opposed to just the write option took care of the problem. 
Best,
Gaël

On Thu, 7 Mar 2024 at 13:46, Christian Büchel <[log in to unmask]> wrote:
Dear Gael,

if the template is "higher" than your images this would be the expected behavior of spatial normalization. Open a template in the same "checkreg" to see whether this is the case. In general I would point you to the excellent PDF in the SPM distribution under /man which explains all these concepts.

I hope this helps,

Christian
--
Prof. Dr. Christian Büchel
Institut für Systemische Neurowissenschaften Haus W34, Universitätsklinikum Hamburg-Eppendorf Martinistr. 52, D-20246 Hamburg, Germany
Tel.: +49-40-7410-54726
Fax.: +49-40-7410-59955
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http://www.uke.uni-hamburg.de/institute/systemische-neurowissenschaften/




> -----Ursprüngliche Nachricht-----
> Von: SPM (Statistical Parametric Mapping) [mailto:[log in to unmask]] Im
> Auftrag von Ga ël Cordero Otero
> Gesendet: Donnerstag, 7. März 2024 13:38
> An: [log in to unmask]
> Betreff: [EXT] [SPM] Normalization shifting image upwards (axially)
>
> Dear experts,
>
> During preprocessing, normalization seems to be moving my images upwards
> (axially speaking). To better illustrate what I mean I've attached an image of a
> realigned & unwarped image (left) and the same image after normalization
> (right). We acquired the volumes with a slice tilt since there is evidence that
> suggests that this increases the SNR of temporal lobes, that's why there isn't
> whole brian coverage. I'm using SPM12 on matlab 2021a, if that is of any help.
>
> Has anyone run into this issue previously? If so, how can it be solved?
> Thank you very much for your time,
> Gaël

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--
Gaël Cordero Otero
Department of Basic Sciences
Faculty of Medicine and Health Sciences
UIC Barcelona
Telf. 93 504 20 00 (ext. 5240)