[Mne_analysis] tf_mixed_norm group solution?

Per Arnold Lysne lysne at unm.edu
Tue Mar 11 17:47:02 EDT 2014
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Hello All,


Is there a way to force tf_mixed_norm in the python package to generate a single set of localizations which can be applied to 1) multiple subjects and, 2) multiple experimental conditions within the same subject?


With regard to multiple subjects, since each subject would require an individual forward solution, even if they were being morphed to a common space in the end, this does not currently seem possible?


A single, average forward solution could be created that spanned conditions within a single subject, which could then be applied to the concatenated evoked averages for the individual conditions. The time courses of the single set of localizations could then be re-segmented into the separate conditions. This would require some scheme to minimize the artifact generated by the discontinuities, but it could be done?


Thanks for everyone's help,


-Per Lysne

University of New Mexico

lysne at unm.edu
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