Partitioning source estimated data based on broadmann atlas

If you have a question or issue with MNE-Python, please include the following info:

  • MNE-Python version: 0.23.0
  • operating system: Mac oS

I want to partition my source estimated data and get the values for each region from famous atlas such as broadmann. How can I do that? Is there any function/tutorial about it?

Thanks in advance

you can use stc.in_label() inside a for-loop over atlas labels. You can get the labels from read_labels_from_annot().

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