Dear experts,
I’m setting up the code for a statistical comparison between source estimates using the function mne.stats.spatio_temporal_cluster_test(…).
My data consists in brain activations over time (evoked sources) already morphed to the fsaverage template. I have 20484 vertices (ico5) and 601 time points.
I’m struggling in correctly defining an adjacency matrix. I ran the analysis successfully specifying a spatial adjacency matrix obtained from the function mne.spatial_src_adjacency(src), where src is the fsaverage source model.
But I’m not sure this is the correct way to consider patio-temporal clusters and, in particular, I don’t understand the difference between the function I used and the function mne.spatio_temporal_src_adjacency().
Thank you in advance for your valuable support !
D.