Hi Christian,
Thanks for the clarification. About the TICA maps, I expect certain primary
sensory areas to have a different timecourse(less width of response) than
the secondary areas. What i got is primary and secondary areas activated in
the same spatial map for a timecourse that looked more like a secondary area
timecourse. This makes sense, since you said its averaged over all active
voxels in a spatial map. However, what do you suggest i should do, inorder to
maybe segregate the spatial map of primary and secondary areas(eg: will
increasing dimensionality help?) or is it possible to extract timecourses of
individual areas within this particular spatial map(i.e without averaging
the time courses or in other words can i look at average time course in a
particular area using an ROI,like in fslmeants or featquery)
Thanks
-vish
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