Hi Brainstorm Team!
I have developed understanding and practice for EEG source localization in the past few months.
I am able to go from pre-processed and epoched EEG data (event based, trial-design) in time domain to tomographies of different frequency bands at the cortex level.
Now, I have another EEG dataset to deal with but with the below differences:
-
I have one trial only from each participant. This is not event/trial based design.
The single trial lasts for around 3 minutes. I also have pre and post experience recorded for 2 minutes. -
I would like to include sub-cortical regions in my model - previously my localization efforts where focused only on the cortex.
For your reference, this is the pipeline I have used previously:
- Estimate the source for each trial using MNE (output is in pA.m)
- Estimate TF decomposition for each trial using morlet wavelet (to save time, consider averaging time-bins and frequency bands)
- Average TF maps within a subject.
- Perform normalization for the averaged map using ERD/ERS method.
- Average maps across subjects and plot the average time-frequency map.
- Alternatively, choose a scout and perform statistical analysis.
I would like to particularly understand what changes in this pipeline in this case?