[Mne_analysis] How is the Source Covariance matrix (R) calculated in the current estimate algorithm

Alexandre Gramfort alexandre.gramfort at telecom-paristech.fr
Mon Jun 2 15:39:48 EDT 2014
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hi Thinh,

the source cov is parametrized by the depth and the loose paramaters.

you have a look at the MNE Python code to know all the details.

regarding papers you have a look at:

F. H. Lin, J. W. Belliveau, A. M. Dale, and M. S. Hamalainen,
“Distributed current estimates using cortical orientation
constraints,” Hum Brain Mapp, vol. 27, pp. 1-13, 2006.

among many others.

HTH
Alex




On Mon, Jun 2, 2014 at 7:21 PM, Thinh Nguyen <thinhnguyen0405 at gmail.com> wrote:
> Hi MNE users,
>
> I've recently spend a lot of time trying to understand the algorithm used in
> MNE software, majorly from this MNE link:
> http://martinos.org/mne/stable/manual/mne.html
> I'm having a hard time understanding how the Source Covariance matrix (R) is
> calculated, as the source is unknown. For example, these equations involved
> known R to calculate the inverse operator:
>
> It would be great if you can point me to literature references explaining
> this algorithm. Thank you in advance.
>
> Regards,
> Thinh Nguyen
>
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