Dear all,
We're piloting a motor learning paradigm, in which subjects are scanned while
performing a motor task A and a motor task B, then are trained for a week on A
alone, then are scanned while doing both tasks again. What we are looking for
ideally is 1) strength of signal--those voxels which show a different
activation for A than B in the second scan, but not in the first scan; and 2)
extent of activation--a larger or smaller area for A than B only in the second
scan, but not in the first scan.
We have three subjects, and will only run more if we think the results look
promising, since this is a pilot study.
Given the preliminary nature of the study, is it a fair assessment to compare
cluster sizes for each subject individually for A before and after training,
and for B the same way? Or is it better to put all three subjects in a single
design matrix and look for conjunctions? Or is some other approach even
better?
Thanks in advance,
Jessica
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Jessica Turner
Long Beach VA Medical Center, CA
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