[Neuroimaging] Time series per voxel

[Dav Clark]

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:

https://docs.scipy.org/doc/numpy-1.14.0/reference/arrays.indexing.html

http://nipy.org/nibabel/gettingstarted.html

Cheers,
Dav

On Sat, Apr 28, 2018, 3:42 AM Christophe Pallier <christophe at pallier.org>
wrote:

> 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).
>
> Christophe
>
> On Thu, Apr 26, 2018 at 10:39 AM, Рожнов Александр Сергеевич via
> Neuroimaging <neuroimaging at python.org> wrote:
>
>> Hello!
>>
>> 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?
>>
>> Sincerely,
>> Alexander Rozhnov
>> _______________________________________________
>> Neuroimaging mailing list
>> Neuroimaging at python.org
>> https://mail.python.org/mailman/listinfo/neuroimaging
>>
>
>
>
> --
> --
> Christophe Pallier <christophe at pallier.org>
> INSERM-CEA Cognitive Neuroimaging Lab, Neurospin, bat 145,
> 91191 Gif-sur-Yvette Cedex, France
> Tel: 00 33 1 69 08 79 34
> Personal web site: http://www.pallier.org
> Lab web site: http://www.unicog.org
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>
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