Hi all
This is a general methodological question:
I am comparing time-courses (% signal change for several TRs) of two
conditions. I can do that in an univariate way (Compare A to B for each
TR, using a paired t-test for example).
However, I was wondering whether there isn't a more sophisticated approach
in which I compare activation across several adjacent TRs - which should
capture 'shape' differences with higher sensitivity.
I attach an example to illustrate the point. In that example it looks like
there is a difference between Series 1 and 2 from TR 5 to 9. However, if I
analyze each TR individually I only get marginally significant results.
Any ideas or resources?
Thx in advance
Claus
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Dr. Claus Lamm
Research Associate
Social Cognitive Neuroscience
Department of Psychology
The University of Chicago
5848 S. University Avenue, Chicago, IL 60637
Phone: (773) 702-4661 Fax: (773) 702-0886
EMail: [log in to unmask]
Web: http://home.uchicago.edu/~decety/
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