Dear all,
In my random effects analysis, I identified two regions A and B that are
more significantly more active in task 1 than task 2 (both actually consist
of two conditions over two sessions).
What I would like to do is to determine how well the even-related signal in
those tasks correlates between the regions A and B. There are probably many
ways to do this, I am just looking to get started. One option I was
thinking of was to look at the correlation between the parameter estimates
(betas) in the two regions across the subjects. Other options include doing
connectivity analyses. Are there any good places to start learning about
how to do this in SPM?
Thank you,
Martin
Martin Zalesak, M.Sc.
PhD Candidate in Medical Engineering
Harvard-MIT Division of Health Sciences and Technology
Admissions Building, Rm. # 347
McLean Hospital
115 Mill St.
Belmont, MA 02478
Phone: (617) 855-2961
Fax: (617) 855-2985
--------------------------------
Confidentiality notice:
Any information, including protected health information (PHI), transmitted
in this email is intended only for the person or entity to which it is
addressed and may contain information that is privileged, confidential and or
exempt from disclosure under applicable Federal or State law. Any review,
retransmission, dissemination or other use of or taking of any action in
reliance upon, protected health information (PHI) by persons or entities other
than the intended recipient is prohibited. If you received this email in error,
please contact the sender and delete the material from any computer.
|