[Neuroimaging] Time series per voxel
gael.varoquaux at normalesup.org
Sat Apr 28 18:10:26 EDT 2018
In that case, the simplest thing might be to use nilearn's NiftiMasker,
which does pretty much this:
On Sat, Apr 28, 2018 at 09:51:11PM +0000, Dav Clark wrote:
> I'm pretty sure the OP means individual as opposed to mean over an ROI?
> So the beginning of the choose your own adventure is whether you understand
> numpy indexing. If so, you can easily grab a time series or a slice or
> whatever. Nibabel gives you the image as a numpy array, and if you're just
> getting started if encourage you to just grab each location / time series one
> at a time. See here:
> On Sat, Apr 28, 2018, 3:42 AM Christophe Pallier <christophe at pallier.org>
> What do you mean 'preprocessed'?
> You can extract time-series from the original EPI files (although if they
> are not corrected for movement and slice timing delays, it may not be a
> great idea).
> On Thu, Apr 26, 2018 at 10:39 AM, Рожнов Александр Сергеевич via
> Neuroimaging <neuroimaging at python.org> wrote:
> My name is Alexander, I am student from Russia and I am interested in
> MRI investigations. I am struggling with one problem which I can not
> solve for a long. Can you help me please?
> My aim is to obtain time series for each voxel in exact ROI. I have
> found methods which allow me to get one time serie for one ROI, but it
> is already preprocessed, what is not needed. Tell me please is there
> any way to solve this problem using implemented functions?
> Alexander Rozhnov
> Neuroimaging mailing list
> Neuroimaging at python.org
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