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Dear Martin, Perhaps the best things to read are papers on Pyscho-Physiological Interactions: http://www.fil.ion.ucl.ac.uk/spm/doc/biblio/Keyword/PPI.html (the 2nd reference to start) and Dynamic Causal Modelling: http://www.fil.ion.ucl.ac.uk/spm/doc/biblio/Keyword/DCM.html PPIs show you how a task changes the connectivity between two regions and DCM does the same for a set of regions. You can also try the methods on an example data set: http://www.fil.ion.ucl.ac.uk/~wpenny/datasets/attention.html Best, Will. Martin Zalesak wrote: > 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. > > -- William D. Penny Wellcome Department of Imaging Neuroscience University College London 12 Queen Square London WC1N 3BG Tel: 020 7833 7475 FAX: 020 7813 1420 Email: [log in to unmask] URL: http://www.fil.ion.ucl.ac.uk/~wpenny/