[Mne_analysis] Cluster test adjacency matrix {Disarmed}

Eric Larson larson.eric.d at gmail.com
Fri Dec 4 12:31:42 EST 2020
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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?


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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