help > functional image of large brain cropped after normalization in Conn
Showing 1-1 of 1 posts
May 8, 2019 09:05 PM | Jean Logan
functional image of large brain cropped after normalization in Conn
I am new to Conn and have used the default
preprocessing pipeline for a set of subjects. I am using
spm12 with conn18b. I have two problems. Problem 1: One
of the subjects had a large brain but all slices appeared on the
original Bold images and looked similar to the other
subjects. That is they did not appear to be cropped
prior to the normalization. After normalization the bottom
part of the brain is cropped in this one subject but not the
others. I thought the problem might be related to the large
brain which fills the vertical image space of the Bold
image. The structural image (which did not fill the image
matrix but had some blank space surrounding the image) did not have
this problem and the normalization looked fine.
Problem 2: My subjects had 2 scans several weeks apart - one pre and one post intervention. I wanted to enter them as two sessions with two conditions similar to what was recommended in another post for a paired t-test analysis. The problem with one of the subjects is that the pre functional scan had 200 time series but the post scan had 300 and I got the error message that the dimensions must agree. If I enter all the scans as being separate subjects the pipeline runs fine.
Conn seems like a great tool. I would greatly appreciate any help with these problems.
Thanks very much
jean
Problem 2: My subjects had 2 scans several weeks apart - one pre and one post intervention. I wanted to enter them as two sessions with two conditions similar to what was recommended in another post for a paired t-test analysis. The problem with one of the subjects is that the pre functional scan had 200 time series but the post scan had 300 and I got the error message that the dimensions must agree. If I enter all the scans as being separate subjects the pipeline runs fine.
Conn seems like a great tool. I would greatly appreciate any help with these problems.
Thanks very much
jean