Thanks for your response.
I would like to ask how can I program the level of the noise by mfile. I am
using the below code right now but I dont know how to let the fieldtrip
know my covariance matrix is the room noise.
I look forward to hearing from you.
Thanls
cfg = [];
cfg.covariance = 'yes';
Hi again,
I think I misunderstood your question before.
I think by noise you mean a baseline compared to which you compare your
actual activity.
Well the problem with resting state is that there is no baseline and
doing a singular value decomposition and taking the smaller eigenvalue
of the
Thanks for your answer. as it is resting state I can have 1 trial or keep
the trial existed in the pre-processed signals,147trails, Based on the
paper by Sylvain Baillet with title of "The brain resting-state activity is
shaped by synchronized cross-frequency coupling of neural oscillations" the
Hi ,
I think you can still do it with ft_timelockanalysis.
I assume that the resting state data you mention has only one trial.
then if you just do:
cfg=[];
cfg.covariance='yes';
pseudoavg=ft_timelockanalysis(cfg, data);
then it will just compute the average across trials but as there is
Hello,
I am using HCP MEG resting state to compute source localization. As it is
resting state signal and I am using Fieldtirp I have no idea how to compute
the noise covariance matrix. Mostly this matrix is computed with
ft_timelockanalysis with the window of [-inf 0] in task-based MEG
I really
