Hi all,
I have a problem with localizing ICA components of EEG data. How I can extract ICA components and then localize them with Brainstorm?
It is noted that the "Record/Artifacts/ICA components" is not active for me! 
It is noted that the "Record/Artifacts/ICA components" is not active for me!
If the menu "ICA components" is not accessible, it is because you have already imported the data to the database, while this option is only available for continuous files.
- https://neuroimage.usc.edu/brainstorm/Tutorials/ChannelFile#Link_the_raw_files_to_the_database
- https://neuroimage.usc.edu/brainstorm/Tutorials/Epilepsy#Artifact_cleaning_with_ICA
I have a problem with localizing ICA components of EEG data. How I can extract ICA components and then localize them with Brainstorm?
Brainstorm uses mostly ICA for removing artifacts.
However, nothing prevents you from removing all the IC but the one you want to study, and perform source estimation on it.
Make sure that the noise recordings used for computing the noise covariance matrix come from the same continuous file, or is processed together with it when computing the ICA decomposition.
Thank you for your reply.
As you said I import data in "link the raw files". I could extract components and save them. How I can localize a 1*19 vector of EEG (each 19 EEG channel has one sample)?
By "localize", do you mean: estimate the brain sources that generated this EEG topography?
With one time point only:
- you can't do any ICA analysis,
- you can't compute any noise statistics in order to get correct minimum norm results (https://neuroimage.usc.edu/brainstorm/Tutorials/NoiseCovariance).
Even with correct noise statistics, source estimation with with only 19 EEG electrodes is most likely not going to be very information. With low-resolution EEG, working only at the sensor level is probably more adapted.
Thank you Francois.