You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
As if for now, Source space segmentation is not available on Pycrostates. In the long run, this is definitively one of the objectives of the library. However, I can't give a precise date for the implementation.
As far as I know, the only library that implemented it is +microstates. If you are familiar with matlab, you should have a look !
Thanks so much for the response. Yes I am familiar with +microstates and am also considering using it too. I am comparing a number of ways to compare microstates, and each program has there particulars so I will probably end up using a few different ones. The other thing I need to do is use frequency informed microstates such as those from https://link.springer.com/article/10.1007/s10548-020-00805-1 or https://pubmed.ncbi.nlm.nih.gov/26052082/ . I have been pointed to Koenig's eeglab extension, but do not see a way to include the frequency informed states from his paper on topographic time-frequency decomposition. Is that something that may be included in this package at some point as well?
Is there currently a way, or will there be a way in the future, to produce the microstates in source space rather than in sensor space?
The text was updated successfully, but these errors were encountered: