[Mne_analysis] source estimate stc files and current source density estimates

[dgw]

Hi David
The l2 results are in "real units" Am.

For the second question, you could ( though it would only make some sense to do with the l2 ( for the above reason). But it is not likely to provide you with different information if running it on averaged data(epochs may be interesting though). As for the other details the units would depend on what analysis you ran. There are examples in mne-python of several available functions. As for the normality question some support for permutation testing is implemented,but obviously choosing the right statistic will depend on your particular question and data.
Hth
D

David I Leitman <leitman at mail.med.upenn.edu> wrote:
>HI all,
>
>I have been trying to figure out how to get a measure of current source
>density from the l2 min-norm source model. It seems that both methods
>dSPM and MNE that I use, yield  arbitrary or r  statistical values (MNe
>manual 6.2.6). From what i can tell this is do to the noise
>normalization step as described in the MNE manual is there any way to
>get a CSD measure in microamps or something real?
>
>My second question is if I pass my epoched or evoked data through the
>mne L2 min-norm source model using  mne or dSPM as the method, Can the
>resulting time-series data comprising these MNE or dSPM values be
>submitted to temporo-spectral analysis? If so how is power at a
>particular frequency calculated? and if you can only get db change, how
>do wavelet or FFT procedure used to measure oscillations conform to
>statistical distributions like the f distribution in-terms of their
>non-normality and tendency to be skewed? I should say I am not a
>statistician ... so this latter point may be a non-starter:)
>
>Finally, is the above a problem for the beamforming routines detailed
>in MNE python? I do not know much about this approach.
>
>thanks so much 
>
>david
>
>
>David I. Leitman PhD
>
>Research Assistant Professor
>Department of Psychiatry-
>Neuropsychiatry program
>Perelman School of Medicine
>University of Pennsylvania
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>Lab website:
> http://davidileitman.com
>
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