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help > RE: Functional data with different TR values
May 21, 2020 01:05 PM | Alfonso Nieto-Castanon - Boston University
RE: Functional data with different TR values
That is perfectly fine, simply enter
in the "Repetition Time" field (in Setup.Basic) a
list with the actual TR value for each subject and CONN will handle
the different sampling rates without a problem in all steps
(including preprocessing, denoising, 1st-level analyses). When you
get to 2nd-level analyses, it would be a good idea to create one or
several new 2nd-level covariates indicating the different subject
groups with similar acquisition parameters in order to evaluate
whether there are any observable differences in connectivity
between those groups and/or whether they would affect your
main conclusions
Best
Alfonso
Originally posted by Shahrooz Faghihroohi:
Best
Alfonso
Originally posted by Shahrooz Faghihroohi:
We are currently using the last version of
CONN.19C to analyse functional connectivity of restfMRI
dataset.
The values of TR for functional data are not equal for all of our subjects.
My question is if we can use CONN to analyse the whole process for all our dataset together?
If it is possible to do the process for all dataset, should we consider any parameter in the preprocessing, denoising or 2nd level analysis stage?
and if it is not possible, should we separate the datasets with the same TR and repeat the process for each group?
I really appreciate if you can help us with our problem.
Thanks in advance
The values of TR for functional data are not equal for all of our subjects.
My question is if we can use CONN to analyse the whole process for all our dataset together?
If it is possible to do the process for all dataset, should we consider any parameter in the preprocessing, denoising or 2nd level analysis stage?
and if it is not possible, should we separate the datasets with the same TR and repeat the process for each group?
I really appreciate if you can help us with our problem.
Thanks in advance
Threaded View
| Title | Author | Date |
|---|---|---|
| Shahrooz Faghihroohi | May 20, 2020 | |
| Alfonso Nieto-Castanon | May 21, 2020 | |
| Anna Blanken | Jul 19, 2020 | |