Hello all
I am planning to run an fMRI study that is a single-factor three-level design. However, I do not have any prior experience in fMRI and I found people are doing it in some very different way.
We will have three sets of images (A, B, C, 18 images per set) + one set of blank (mix of pure black and white) and we will be comparing the BOLD signal between these sets (A-Blank, B-Blank, C-Blank, A-B, A-C, B-C)
The study will be more of a neuroaesthetic study, in which images were grouped by their unique characteristics.
One requirement for the study is I will like the participant to view finish viewing all images in a block before they see images in other blocks, which means I might need to use a blocked design. (Also because the effect I am looking at is rather weak) However, I am also interested in how the participant responds to each image (the participant will rate each image on their appearance level when the image is showing). After reviewing some literature I currently have three designs
6A -> 20s (rest) -> 6A -> 20s -> 6A -> 20s -> 6 Blank -> 20s -> 6B -> 20s -> 6B -> 20s -> 6B -> 20s -> 6Blank -> 20s -> 6C -> 20s -> 6C -> 20s -> 6C -> 20s -> 6Blank
Total session time = 940s
2. Each block = 1s blank + 1s cross + 6*(6s image + 1s ITI)
6A -> 20s (rest) -> 6A -> 20s -> 6A -> 20s -> 6 Blank -> 20s -> 6B -> 20s -> 6B -> 20s -> 6B -> 20s -> 6Blank -> 20s -> 6C -> 20s -> 6C -> 20s -> 6C -> 20s -> 6Blank
Total session time = 748s
3. event-related design = (15A+15B+15C+15Blank)*(1s blank + 1s cross + 6s image + 20s ITI)
Show all A then B then C, inserting Blank randomly
Total session time = 1680s
-> I feel this one might be too long so reducing each set to 15 images
My questions are
Thanks for your attention
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