[Mne_analysis] Finding nearest neighbors with 'use_tris'?

[Gladia Hotan]

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Hi Eric,

Thanks for your help! This function seems to add distances between sources
in the same hemisphere. Is there a way to get the distances between sources
in different hemispheres?

Best,
Gladia

On Fri, Apr 23, 2021 at 10:32 PM Eric Larson <larson.eric.d at gmail.com>
wrote:

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>
> Also, I'm using MNE 0.20.7. The function 'spatial_tris_connectivity' seems
>> to be gone in the latest
>>
>> stable MNE (0.22.1). Is there an updated way of getting the nearest neighbors matrix?
>>
>> When versions change functions can be deprecated and renamed. For this
> you'd want to look at the release notes, in this case for both 0.21 and
> 0.22, to see if something changed, in this case this:
>
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> Suggests you should do something like:
>
> >>> src = mne.setup_source_space('sample', spacing='ico3', subjects_dir='/home/larsoner/mne_data/MNE-sample-data/subjects', add_dist=False)
> >>> mne.spatial_src_adjacency(src)
> <1284x1284 sparse matrix of type '<class 'numpy.int64'>'
>     with 8964 stored elements in COOrdinate format>
>
> Or you could use remap_vertices to use the tris function if you want (but
> I find the above code to be cleaner):
>
> >>> mne.spatial_tris_adjacency(src[0]['use_tris'], remap_vertices=True)
> <642x642 sparse matrix of type '<class 'numpy.int64'>'
>     with 4482 stored elements in COOrdinate format>
>
> Eric
>
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