[FieldTrip] Covaraince matrix for MEG resting state

[mehdy dousty]

Hi all
I am using the resting state MEG signal for constructing the inverse
problem by eLoreta, and as it is resting state, the covariance matrix needs
to be used, so I am going to use HCP R-noise to construct the covariance
matrix, but there are two main issues which I need your help. 1- as I am
going to use preprocess data for resting state, do I need process the noise
as well? if it is so, I can't find the time series of the noise in the raw
data after using ft_read_header. 2- do I need to redefine the time series
which add the noise time series at the beginning of the signal and then add
the resting state time series so I can use the below code for computing the
covariance?


cfg= []

  cfg.covariance = 'yes'; % I dont know how to enter the noise
covariance to the data

cfg.covariancewindow = [-inf 0];
  timelockanalysis = ft_timelockanalysis(cfg, inputdata);



I look forward to hearing from you.

*Mehdy Dousty*
*Hotchkiss Brain Institute*
*University of Calgary*
*HSC Building, Room 2932B*
*3330 Hospital Drive NW*
*Calgary, AB T2N 4N1*
*Email          Mehdy.Dousty at Ucalgary.ca*
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.science.ru.nl/pipermail/fieldtrip/attachments/20161028/9ee0f9af/attachment-0001.html>