[Mne_analysis] Cluster test adjacency matrix {Disarmed}

Diptyajit Das bmedasdiptyajit at gmail.com
Wed Dec 9 13:13:58 EST 2020
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Hi Anna and Eric,

Correct me if there is already an issue opened in github since I haven't
found one to follow. I would like to use a similar test in the future.
Shall I make a feature request?
Let me know. Thanks!


On Fri, Dec 4, 2020 at 6:32 PM Eric Larson <larson.eric.d at gmail.com> wrote:

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> We don't currently have a function for this but we could add one fairly
> easily I think based on the FreeSurfer triangulations. Could you open a
> GitHub issue about it?
> Eric
> On Thu, Dec 3, 2020 at 5:15 AM Анна Табуева <anntabueva at gmail.com> wrote:
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>> Dear MNE Community!
>> In my research I intend to perform the 1-sample cluster permutation test
>> on the time course data extracted with PCA according to Desikan-Killiany
>> cortical atlas.
>> In order to perform the cluster test correctly I should provide the
>> information on spatial connectivity of the 68 extracted Desikan-Killiany
>> cortical labels (i.e., the adjacency matrix).
>> However, while there are well defined functions such as
>> mne.find_ch_connectivity or mne.spatial_src_connectivity, I had no luck
>> figuring out any method to calculate the adjacency matrix for labels.
>> Do you have any ideas on how I should treat the adjacency matrix problem
>> in the cluster test if I use parcellised cortical labels?
>> Great thank you in advance!
>> Anna
>> --
>> Anna Tabueva
>> Junior Research Fellow
>> Developmental Behavioral Genetics Laboratory
>> Psychological Institute of Russian Academy of Education
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