[Neuroimaging] Understanding atlas usage

[Alessandro Stranieri]

Hello

On Fri, Nov 30, 2018 at 11:59 PM bthirion <bertrand.thirion at inria.fr> wrote:

> On 30/11/2018 17:26, Alessandro Stranieri wrote:
>
> Hi,
>
> I am working on a small project with the adhd data. My background is
> software engineering, but I am very new to nipy and neuroscience in general
> so I might get some terminology wrong.
>
> Currently I am working my way through the correlation/connectome examples.
> I have a few doubts but, in order to keep it simple, I will just
> post a couple, hoping for help.
>
> You're probably using Nilearn. Could you post these questions on
> Neurostars.org, so that other people can benefit from the answers ?
>
OK, I will do that!

>
> 1. The fetch_adhd functions states that a maximum of 40 subjects can be
> retrieved. This means that if I want to use more, I need to do all the
> processing myself from the files at
> https://www.nitrc.org. Is it correct?
>
> Yes.
>
> 2. nilearn provides some atlases and I have more or less understood how to
> use them. However, on NITRC one can also find 2 functional parcellation
> templates, and time series are provided
> for those parcellations. I think I managed to create and display
> connectomes with those templates but, what if I want to know the label of a
> region? Those regions are labelled by numbers.
> For example, if I use the aal atlas, I can see 'Precentral_L',
> 'Precental_R' and so on. Can I do the same with the cc200 for example? I
> fear that, since those parcellation are functional
> and not anatomical, there are no real labels associated to the region. But
> I would still like to have a data-structure that allows me to query things
> like: this region is in V1, or in the
> frontal lobe or other.
>
> The best way to learn about parcellations is to run the corresponding
> examples of the library.
>
> Each atlas comes with different information, so you may not have
> functional labels if the atlas comes from a functional parcellation, such
> as resting-state for instance.
>
> Thanks!
Alessandro

> HTH.
>
> Bertrand
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