help > RE: QA - Functional Data Normalization
Jun 7, 2021  02:06 PM | Rachel Corr
RE: QA - Functional Data Normalization
Originally posted by Rachel Corr:
Hello,
Looking through my "QA normalization: functional data + outline of MNI TPM template" output, quite a few of my subjects appear to have issues with the top and bottom most slices, with the bottom slices missing activation within the outline or having dark spots outside the outline (which I'm assuming are from the eyeballs) and the top slices having a sort of "halo" around the data (which I'm assuming is an artifact from the skull). I'm attaching one subject as an example. If I am using the the default explicit voxel-level analysis mask in my setup > options, is this data outside the brain going to removed for analysis and not a major concern, or are there other steps I need to take to fix my data?
Thank you,
-Rachel

Since it has been a few weeks, I wanted to bump this too see if anyone had any advice about this step in QA or not - I've been running analyses assuming this is ok, but am concerned my results might not be legitimate. 

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TitleAuthorDate
Rachel Corr May 19, 2021
RE: QA - Functional Data Normalization
Rachel Corr Jun 7, 2021
Hugo Morandini Jun 10, 2021
Alfonso Nieto-Castanon Jun 7, 2021