Hi,
I'm using *mne.minimum_norm.source_induced_power* in order to look at the
phase locking (ITC) per voxel on a brain plot.
The problem is that this function returns the ITC values in a vector and
not in a structure containing additional info such as labels etc.
The vector is not arranged in the correct order and thus I cannot plot the
ITC per voxel on the brain plot (-produces a meaningless graph..).
How can I re-arrange the vector in the correct order? Or- use a function
that returns an structure output with the correct order of the voxels?
Hi Shuang,
Thank you for responding.
Right now I'm using an individual template, but anyway- the ITC is a vector
which is not associated with any voxel or brain region.
I guess its in a scrambled order, and thats why when I insert the vector
into a stc variable (structure) I can't see it properly on the brain plot.
------------------------------
*From: *"Paz Har-shai" <pazhs10 at gmail.com>
*To: *"mne analysis" <mne_analysis at nmr.mgh.harvard.edu>
*Sent: *Wednesday, November 28, 2018 3:14:41 PM
*Subject: *[Mne_analysis] mne.minimum_norm.source_induced_power
External Email - Use Caution
Hi,
I'm using *mne.minimum_norm.source_induced_power* in order to look at the
phase locking (ITC) per voxel on a brain plot.
The problem is that this function returns the ITC values in a vector and
not in a structure containing additional info such as labels etc.
The vector is not arranged in the correct order and thus I cannot plot the
ITC per voxel on the brain plot (-produces a meaningless graph..).
How can I re-arrange the vector in the correct order? Or- use a function
that returns an structure output with the correct order of the voxels?
Thank you,
Paz
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Hi Paz,
I am thinking maybe you can use the parameter of verbose when computing source induced power,
and the form of that verbose should be the same with the inverse operator that you created before,
I think maybe that will solve the problems.
Good Luck!