Hi!
We are enjoying exploring ICA with melodic, and as you all, especially
Christian, have been most helpful in answering our questions, I was hoping
you might be kind enough to answer a few more.
First, where can you find information about what high pass filter was used
in an analysis? I (shamefully) did not write down the high pass filter used
in a couple of analyses, and did not see it in the melodic log.
Also, we have a subject whose data did not converge. In reading posts about
this, I saw the suggestion that the data be denoised using melodic. The
post mentioned the following link
(http://www.fmrib.ox.ac.uk/fslcourse/lectures/melodic/
_3200_denoise.fpd/index.html) for more information about denoising. I could
not follow the link, so I looked in the melodic lecture and found mention
of denoising, but I am still not sure exactly how to accomplish this. Is
there a paper that has more detailed methodology?
Lastly, we have a small debate going on in our lab and I was wondering if
you could weigh in. Is it appropriate to use ICA to find components when a
task paradigm is used? Will there by any bias introduced by the fact that
much of the signal and variance are driven by the task, such that non-task
related activity might be more difficult to identify?
Thank you for any insights you can offer:~)
Christina
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