I am modeling a task with a mixed block event-related design. It has four block conditions (negative vs. neutral images with predictable vs. unpredictable presentation timings). Blocks are 91 s long, and there are two blocks of each condition type. I modeled these blocks with the BLOCK function, and found some interesting differences within a couple of ROIs.
Now I would like to graph the timecourse of these blocks for each condition, to see if there is anything notable about the response profiles within the ROIs (i.e. is there a big initial activation that tapers off before the block ends, or is it sustained throughout the block). What is the best way to do this? Should I rerun 3ddeconvolve using a tent function (for example, TENT(0,91,15) to get estimates of activation across 15 time windows within the block)? Or should I take the relevant 91 s for each block in the fitts file, and then average the 2 repetitions of the block conditions together? Or perhaps use 3synthesize to extract fit for each condition regressor individually?
Thanks!
Edited 1 time(s). Last edit at 09/18/2019 06:45PM by wped.
