I am phd student in cognitive science (cognitive modeling).
I have some questions:
- My research is about finding some features on resting state EEG of two groups .
2)I have 200 Seconds resting state EEG for each case.after pre-processing I want to choose 5 segment(block) of EEG data with 10 second duration for each.
3)then I want to measure ROI(Scouts) activity by source localization using brainstorm.
- then I want to find effective connectivity between ROI(sources) for each segment.
what do you suggest ? GC or transfer entropy or something else ? can I do that in brainstorm?
I tested PTE & GC N*N in brainstorm
5)after that I want to compare all case/segments in two groups
which statistic method do you suggest ? Can i do that in brainstorm?
6)Do you suggest another method? Is there any research paper that used brainstorm for measuring connectivity ?